Publications

Work Package 1 – Surgical Planning and Visualisation

  • G Wang, MA Zuluaga, R Pratt, M Aertsen, AL David, J Deprest, T Vercauteren, S Ourselin. Slic-Seg: Slice-by-Slice Segmentation Propagation of the Placenta in Fetal MRI Using One-Plane Scribbles and Online Learning. In: Navab N., Hornegger J., Wells W., Frangi A. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015. MICCAI 2015. Lecture Notes in Computer Science, vol 9351. Springer, Cham. https://doi.org/10.1007/978-3-319-24574-4_4
  • Zuluaga MA, Burgos N, Mendelson AF, Taylor AM, Ourselin S. Voxelwise atlas rating for computer assisted diagnosis: Application to congenital heart diseases of the great arteries. Med Image Anal. 2015 Dec;26(1):185-94. https://doi.org/10.1016/j.media.2015.09.001
  • Pratt R, Deprest J, Vercauteren T, Ourselin S, David AL. Computer-assisted surgical planning and intraoperative guidance in fetal surgery: a systematic review. Prenat Diagn. 2015 Dec;35(12):1159-66. https://doi.org/10.1002/pd.4660
  • Wang, G., Zuluaga, M.A., Pratt, R., Aertsen, M., Doel, T., Klusmann, M., David, A.L., Deprest, J., Vercauteren, T., Ourselin, S. Slic-Seg: A minimally interactive segmentation of the placenta from sparse and motion-corrupted fetal MRI in multiple views (2016) Medical Image Analysis, 34, pp. 137-147. https://doi.org/10.1016/j.media.2016.04.00
  • Ebner M, Aertsen M, Pratt R, David AL, Pandya P, Deprest J, Kendall G, Klusmann M, Humphries P, Hewitt R, Atkinson D, Vercauteren T, Ourselin S. Volumetric MRI Reconstruction of Trachea in Fetuses with Complex Fetal Neck Masses (2016) IPEM Conference on Fetal, Neonatal and Paediatric MR Imaging.
  • Pratt, R., Melbourne, A., Owen, D., Sokolska, M., Bainbridge, A., Atkinson, D., Kendall, G., Deprest, J., Vercauteren, T., Ourselin, S. and David, A. (2017), 08: Novel placental evaluation using multimodal MRI. Ultrasound Obstet Gynecol, 50: 62-62. https://doi.org/10.1002/uog.17735
  • Pratt, R., Melbourne, A., Hutchinson, C., Arthurs, O., Sebire, N., Vercauteren, T., Ourselin, S. and David, A. (2017), 19: Investigating the effect of umbilical cord insertion site on placental perfusion. Ultrasound Obstet Gynecol, 50: 363-364. https://doi.org/10.1002/uog.18685
  • Pratt R, Hutchinson JC, Melbourne A, Zuluaga MA, Virasami A, Vercauteren T, Ourselin S, Sebire NJ, Arthurs OJ, David AL. Imaging the human placental microcirculation with micro-focus computed tomography: Optimisation of tissue preparation and image acquisition. 2017 Dec;60:36-39. https://doi.org/10.1016/j.placenta.2017.09.013
  • Melbourne A, Pratt R, Hutchinson C, Arthurs O, Sebire NJ, Vercauteren T, David AL, Ourselin S. Quantitative analysis of the three dimensional fetoplacental vascular tree in normal, term placenta. Placenta. 2017;57:239-40. https://doi.org/10.1016/j.placenta.2017.07.065
  • Pratt R, Melbourne A, Hutchinson C, Arthurs O, Sebire NJ, Vercauteren T, Ourselin S, David AL. MicroCT to investigate the heterogeneity of villous vascular density in normal placentae. 2017;57:333-4. https://doi.org/10.1016/j.placenta.2017.07.340
  • Pratt R, Melbourne A, Hutchinson C, Arthurs O, Sebire NJ, Vercauteren T, Ourselin S, David AL. Quantifying the structure of the chorionic vascular tree with central and eccentric cord insertion. Placenta. 2017;57:273. https://doi.org/10.1016/j.placenta.2017.07.161
  • Melbourne A, Pratt R, Sokolska M, Owen D, Bainbridge A, Atkinson D, Kendall G, Deprest J, Vercauteren T, David A, Ourselin S. Separation of fetal and maternal circulations using multi-modal MRI. Placenta.2017;57:291. https://doi.org/10.1016/j.placenta.2017.07.216
  • Wang G, Li W, Zuluaga MA, Pratt R, Patel PA, Aertsen M, Doel T, David AL, Deprest J, Ourselin, S, Vercauteren T. Interactive Medical Image Segmentation Using Deep Learning with Image-Specific Fine Tuning. IEEE Trans Med Imaging. 2018 Jul;37(7):1562-1573. https://doi.org/10.1109/TMI.2018.2791721
  • Ebner M, Wang G, Li W, Aertsen M, Patel P, Aughwane R, Melbourne A, Doel T, David AL, Deprest J, Ourselin S, Vercauteren T (2018) An Automated Localization, Segmentation and Reconstruction Framework for Fetal Brain MRI. In: Frangi A., Schnabel J., Davatzikos C., Alberola-López C., Fichtinger G. (eds) Medical Image Computing and Computer Assisted Intervention – MICCAI 2018. MICCAI 2018. Lecture Notes in Computer Science, vol 11070. Springer, Cham. https://doi.org/10.1007/978-3-030-00928-1_36
  • Aughwane R, Sokolska M, Bainbridge A, Atkinson D, Kendall G, Deprest J, Vercauteren T, David AL, Ourselin S, Melbourne A. MRI Measurement of Placental Perfusion and Fetal Blood Oxygen Saturation in Normal Pregnancy and Placental Insufficiency. In: Frangi A., Schnabel J., Davatzikos C., Alberola-López C., Fichtinger G. (eds) Medical Image Computing and Computer Assisted Intervention – MICCAI 2018. MICCAI 2018. Lecture Notes in Computer Science, vol 11070. Springer, Cham. https://doi.og/10.1007/978-3-030-00934-2_101
  • Shelmerdine SC, Simcock IC, Hutchinson JC, Aughwane R, Melbourne A, Nikitichev DI, Ong J-l, Borghi A, Cole G, Kingham E, Calder AD, Capelli C, Akhtar A, Cook AC, Schievano S, David A, Ourselin S, Sebire NJ, Arthurs OJ. 3D printing from microfocus computed tomography (micro-CT) in human specimens: education and future implications. The British Journal of Radiology. 2018;91(1088):20180306. https://doi.org/10.1259/bjr.20180306
  • Hu, Y., Modat, M., Gibson, E., Li, W., Ghavami, N., Bonmati, E., Wang, G., Bandula, S., Moore, C. M., Emberton, M., Ourselin, S., Noble, J. A., Barratt, D. C., Vercauteren, T. Weakly-supervised convolutional neural networks for multimodal image registration, Medical Image Analysis, Volume 49, 2018, Pages 1-13, ISSN 1361-8415, https://doi.org/10.1016/j.media.2018.07.002
  • Y. Hu et al., “Label-driven weakly-supervised learning for multimodal deformable image registration,” 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), 2018, pp. 1070-1074, https://doi: 10.1109/ISBI.2018.8363756
  • Ferraris, S., van der Merwe, J., Van Der Veeken, L., Prados, F., Iglesias, J., Melbourne, A., Lorenzi, M., Modat, M., Gsell, W., Deprest, J., Vercauteren, T. A magnetic resonance multi-atlas for the neonatal rabbit brain,  In: NeuroImage, Volume 179, 2018, Pages 187-198, ISSN 1053-8119, https://doi.org/10.1016/j.neuroimage.2018.06.029
  • Bonmati, E., Hu, Y., Sindhwani, N., Peter Dietz, H., D’hooge, J., Barratt, D., Deprest, J., Vercauteren, T. Automatic segmentation method of pelvic floor levator hiatus in ultrasound using a self-normalizing neural network, J. Med. Imag. 5(2), 021206 (2018), doi: 10.1117/1.JMI.5.2.021206
  • Melbourne A, Aughwane R, Sokolska M, Owen D, Kendall G, Flouri D, Bainbridge A, Atkinson D, Deprest J, Vercauteren T, David A, Ourselin, S. Separating fetal and maternal placenta circulations using multiparametric MRI. Magn Reson Med. 2019 Jan;81(1):350-361. https://doi.org/10.1002/mrm.27406
  • Aughwane R, Sokolska M, Flouri D, Spencer R, Maksym K, Mufti N, Bainbridge A, Atkinson D, Kendall G, Deprest J, Vercauteren T, Ourselin S, Melbourne A, David AL. Placental Perfusion and Fetal Blood Oxygen Saturation Measured with MRI in Normal Pregnancy and Fetal Growth Restriction. Reproductive Sciences. 2019 Mar;26:114A-114A.
  • Patel PA, Flouri D, Rennie A, Robertson F, Davies L, Ganesan V, Bhate S, Coppi PD, Vercauteren T, Melbourne A. Quantifying the Intra-Operative Hemodynamic Effects of Glue Embolization in Vein of Galen Malformations. 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019); pp. 754-758, https://doi.org/10.1109/ISBI.2019.8759485.
  • Wang G, Zuluaga MA, Li W, Pratt R, Patel PA, Aertsen M, Doel T, David AL, Deprest J, Ourselin, S, Vercauteren T. DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation. IEEE Trans Pattern Anal Mach Intell. 2019 Jul;41(7):1559-1572. https://doi.org/10.1109/TPAMI.2018.2840695
  • Wang G, Li W, Ourselin, S, Vercauteren T. Automatic Brain Tumor Segmentation Based on Cascaded Convolutional Neural Networks with Uncertainty Estimation. Front Comput Neurosci. 2019 Aug 13; 13:56. https://doi.org/10.3389/fncom.2019.00056
  • Aertsen, M., Verduyckt, J., De Keyzer, F., Vercauteren, T., Van Calenbergh, F., De Catte, L., Dymarkowski, S.,  Demaerel, P. and Deprest, J., Reliability of MR Imaging–Based Posterior Fossa and Brain Stem Measurements in Open Spinal Dysraphism in the Era of Fetal Surgery, American Journal of Neuroradiology January 2019, 40 (1) 191-198; https://doi.org/10.3174/ajnr.A5930
  • Wang G, Li W, Aertsen M, Deprest J, Ourselin, S, Vercauteren T. Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks. Neurocomputing. 2019 Sep 3; 335:34-45. https://doi.org/10.1016/j.neucom.2019.01.103
  • S, Chouhan MD, Vercauteren T. Super-resolution for upper abdominal MRI: Acquisition and post-processing protocol optimization using brain MRI control data and expert reader validation. Magn Reson Med. 2019 Nov;82(5):1905-1919. https://doi.org/10.1002/mrm.27852
  • Aughwane R, Schaaf C, Hutchinson JC, Virasami A, Zuluaga MA, Sebire N, Arthurs OJ, Vercauteren T, Ourselin, S, Melbourne A, David AL. Micro-CT and histological investigation of the spatial pattern of feto-placental vascular density. 2019 Dec; 88:36-43. https://doi.org/10.1016/j.placenta.2019.09.014
  • van der Merwe, J., van der Veeken, L., Ferraris, S. et al, Early neuropathological and neurobehavioral consequences of preterm birth in a rabbit model,  Sci Rep 9, 3506 (2019). https://doi.org/10.1038/s41598-019-39922-8
  • Fidon L., Ebner M., Garcia-Peraza-Herrera L.C., Modat M., Ourselin S., Vercauteren T. (2019) Incompressible Image Registration Using Divergence-Conforming B-Splines. In: Shen D. et al. (eds) Medical Image Computing and Computer Assisted Intervention – MICCAI 2019. MICCAI 2019. Lecture Notes in Computer Science, vol 11765. Springer, Cham. https://doi.org/10.1007/978-3-030-32245-8_49
  • Flouri D, Owen D, Aughwane R, Mufti N, Sokolska M, Atkinson D, Kendall G, Bainbridge A, Vercauteren T, David AL, Ourselin S, Melbourne A. Improved Placental Parameter Estimation Using Data-Driven Bayesian Modelling. In: Shen D. et al. (eds) Medical Image Computing and Computer Assisted Intervention – MICCAI 2019; Lecture Notes in Computer Science, vol 11766. Springer, Cham. https://doi.org/10.1007/978-3-030-32248-9_68
  • Ebner M, Wang G, Li W, Aertsen M, Patel PA, Aughwane R, Melbourne A, Doel T, Dymarkowski S, De Coppi P, David AL, Deprest J, Ourselin S, Vercauteren T. An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI. Neuroimage. 2020 Feb 1;206:116324. https://doi.org/10.1016/j.neuroimage.2019.116324
  • Flouri D, Owen D, Aughwane R, Mufti N, Maksym K, Sokolska M, Kendall G, Bainbridge A, Atkinson D, Vercauteren T, Ourselin S, David AL, Melbourne A. Improved fetal blood oxygenation and placental estimated measurements of diffusion-weighted MRI using data-driven Bayesian modeling. Magn Reson Med. 2020 Jun;83(6):2160-2172. https://doi.org/10.1002/mrm.28075
  • Mufti, N., Aertsen, M., Ebner, M., Fidon, L., Patel, P., Rahman, M.B.A., Brackenier, Y., Ekart, G., Fernandez, V., Vercauteren, T., Ourselin, S., Thomson, D., De Catte, L., Demaerel, P., Deprest, J., David, A. and Melbourne, A. (2020), 02: Cortical surface matching of the fetal cortex pre- and post-fetal surgery for open spina bifida. Ultrasound Obstet Gynecol, 56: 178-178. https://doi.org/10.1002/uog.22768
  • Mufti, N., Ebner, M., Humphries, P., Gaunt, T., Patel, P., Bredaki, E., Hewitt, R., Sokolska, M., Kendall, G., Atkinson, D., Vercauteren, T., Ourselin, S., Pandya, P., Melbourne, A. and David, A. (2020), 10: Use of super resolution reconstruction MRI for surgical planning in a fetus with congenital high airway obstruction syndrome: a case report. Ultrasound Obstet Gynecol, 56: 140-140. https://doi.org/10.1002/uog.22647
  • Aughwane R, Ingram E, Johnstone ED, Salomon LJ, David AL, Melbourne A. Placental MRI and its application to fetal intervention. Prenatal Diagnosis. 2020;40(1):38-48. https://doi.org/10.1002/pd.5526
  • Aughwane R, Mufti N, Flouri D, Maksym K, Spencer R, Sokolska M, Kendall G, Atkinson D, Bainbridge A, Deprest J, Vercauteren T, Ourselin S, David AL, Melbourne A. MRI Measurement of Placental Perfusion and Oxygen Saturation in Early Onset Fetal Growth Restriction. BJOG: Int J Obstet Gy. 2021; 128: 337– 345. https://doi.org/10.1111/1471-0528.16387
  • Gu R, Wang G, Song T, Huang R, Aertsen M, Deprest J, Ourselin S, Vercauteren T, Zhang S. CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation. IEEE Trans Med Imaging. 2021 Feb;40(2):699-711. https://doi.org/10.1109/TMI.2020.3035253
  • Byrne M, Aughwane R, James JL, Hutchinson C, Arthurs O, Sebire N, Ourselin S, David AL, Melbourne A, Clark AR. Structure-function relationships in the feto-placental circulation from in silico interpretation of micro-CT vascular structures. J Theor Biol. 2021 May 21;517:110630. https://doi.org/10.1016/j.jtbi.2021.110630
  • Mufti N, Aertsen M, Ebner M, Fidon L, Patel P, Rahman MBA, Brackenier Y, Ekart G, Fernandez V, Vercauteren T, Ourselin S, Thomson D, De Catte L, Demaerel P, Deprest J, David AL, Melbourne A. Cortical spectral matching and shape and volume analysis of the fetal brain pre- and post-fetal surgery for spina bifida: a retrospective study. Neuroradiology (2021). https://doi.org/10.1007/s00234-021-02725-8
  • Flouri D, Darby JRT, Holman SL, Perumal SR, David AL, Morrison JL, Melbourne A. Magnetic resonance imaging of placentome development in the pregnant Ewe. Placenta. 2021;105:61-9. https://doi.org/10.1016/j.placenta.2021.01.017
  • Couper S, Clark A, Thompson JMD, Flouri D, Aughwane R, David AL, Melbourne A, Mirjalili A, Stone PR. The effects of maternal position, in late gestation pregnancy, on placental blood flow and oxygenation: an MRI study. J Physiol. 2021 Mar;599(6):1901-1915. https://doi.org/10.1113/JP280569

Work Package 2 – Intraoperative Sensing

 

  • Xia, D. I. Nikitichev, J. M. Mari, S. J. West, S. Ourselin, P. C. Beard, and A. E. Desjardins. An interventional multispectral photoacoustic imaging platform for the guidance of minimally invasive procedures. Opto-Acoustic Methods and Applications in Biophotonics II, V. Ntziachristos and R. Zemp, eds., Vol. 9539 of SPIE Proceedings (Optical Society of America, 2015), paper 95390D.
  • Xia, C. A. Mosse, R. J. Colchester, J. M. Mari, D. I. Nikitichev, S. J. West, S. Ourselin, P. C. Beard, and A. E. Desjardins. Fiber optic photoacoustic probe with ultrasonic tracking for guiding minimally invasive procedures. In: Opto-Acoustic Methods and Applications in Biophotonics II, V. Ntziachristos and R. Zemp, eds., Vol. 9539 of SPIE Proceedings (Optical Society of America, 2015), paper 95390K.
  • Xia W., E Maneas, DI Nikitichev, CA Mosse, G Sato dos Santos, T Vercauteren, AL David, J Deprest, S Ourselin, PC Beard, AE Desjardins. Interventional Photoacoustic Imaging of the Human Placenta with Ultrasonic Tracking for Minimally Invasive Fetal Surgeries. In: Navab N., Hornegger J., Wells W., Frangi A. (eds) Medical Image Computing and Computer-Assisted Intervention — MICCAI 2015. MICCAI 2015. Lecture Notes in Computer Science, vol 9349. Springer, Cham. https://doi.org/10.1007/978-3-319-24553-9_46
  • Xia W, Nikitichev DI, et al. Performance characteristics of an interventional multispectral photoacoustic imaging system for guiding minimally invasive procedures. J. Biomed. Opt. 20(8), 086005 (Aug 11, 2015). https://doi.org/10.1117/1.JBO.20.8.086005
  • Ansari, E. Zhang, S. Mathews, A. E. Desjardins, and P. C. Beard. Photoacoustic endoscopy probe using a coherent fibre optic bundle. Proc. SPIE 9539, Opto-Acoustic Methods and Applications in Biophotonics II, 953905 (16 July 2015); https://doi.org/10.1117/12.2183820
  • Noimark, S., Colchester, R.J., Blackburn, B.J., Zhang, E.Z., Alles, E.J., Ourselin, S., Beard, P.C., Papakonstantinou, I., Parkin, I.P., Desjardins, A.E. Carbon-Nanotube–PDMS Composite Coatings on Optical Fibers for All-Optical Ultrasound Imaging (2016) Advanced Functional Materials, 26 (46), pp. 8390-8396. https://doi.org/10.1002/adfm.201601337
  • Sunish J. Mathews, Edward Z. Zhang, Adrien E. Desjardins, Paul C. Beard, Miniature fibre optic probe for minimally invasive photoacoustic sensing, Proc. SPIE 9708, Photons Plus Ultrasound: Imaging and Sensing 2016, 97082R (18 March 2016) https://doi.org/10.1117/12.2211661
  • Hill ER, Xia W, Clarkson MJ, Desjardins AE. Identification and removal of laser-induced noise in photoacoustic imaging using singular value decomposition. Biomed Opt Express. 2016 Dec 5;8(1):68-77. https://doi.org/10.1364/BOE.8.000068
  • Ansari, E. Zhang, A. E. Desjardins, P. C. Beard. All-optical endoscopic probe for high resolution 3D photoacoustic tomography. Proc. SPIE 10064, Photons Plus Ultrasound: Imaging and Sensing 2017, 100641W (23 March 2017); https://doi.org/10.1117/12.2250617
  • Finlay MC, Mosse CA, Colchester RJ, Noimark S, Zhang EZ, Ourselin S, Beard PC, Schilling RJ, Parkin IP, Papakonstantinou I, Desjardins AE.Through-needle all-optical ultrasound imaging in vivo: a preclinical swine study. Light: Science & Applications. 2017;6(12):e17103-e. https://doi.org/10.1038/lsa.2017.103
  • Alles EJ, Fook Sheung N, Noimark S, Zhang EZ, Beard PC, Desjardins AE. A reconfigurable all-optical ultrasound transducer array for 3D endoscopic imaging. Scientific Reports. 2017;7(1):1208. https://doi.org/10.1038/s41598-017-01375-2
  • Guggenheim JA, Li J, Allen TJ, Colchester RJ, Noimark S, Ogunlade O, Parkin IP, Papakonstantinou I, Desjardins AE, Zhang EZ, Beard PC. Ultrasensitive plano-concave optical microresonators for ultrasound sensing. Nature Photonics. 2017;11(11):714-9. https://doi.org/10.1038/s41566-017-0027-x
  • Alles EJ, Noimark S, Maneas E, Xia W, Zhang EZ, Beard PC, Parkin IP, Desjardins AE. Source density apodisation in 2D all-optical ultrasound imaging. 2017 IEEE International Ultrasonics Symposium (IUS); 6-9 Sept. 2017. https://doi.org/10.1109/ULTSYM.2017.8092387
  • Poduval RK, Noimark S, Colchester RJ, Macdonald TJ, Parkin IP, Desjardins AE, Papakonstantinou I. Optical fiber ultrasound transmitter with electrospun carbon nanotube-polymer composite. Applied Physics Letters. 2017;110(22):223701. https://doi.org/10.1063/1.4984838
  • Maneas E, Xia W, Nikitichev DI, Daher B, Manimaran M, Wong RYJ, Chang CW, Rahmani B, Capelli C, Schievano S, Burriesci G, Ourselin, S, David AL, Finlay MC, West SJ, Vercauteren T, Desjardins AE. Anatomically realistic ultrasound phantoms using gel wax with 3D printed moulds. Phys Med Biol. 2018 Jan 5;63(1):015033. https://doi.org/10.1088/1361-6560/aa9e2c
  • Maneas E, Xia W, Ogunlade O, Fonseca M, Nikitichev DI, David AL, West SJ, Ourselin, S, Hebden JC, Vercauteren T, Desjardins AE. Gel wax-based tissue-mimicking phantoms for multispectral photoacoustic imaging. Biomed Opt Express. 2018 Feb 15;9(3):1151-1163. https://doi.org/10.1364/BOE.9.001151
  • Hauptmann A, Lucka F, Betcke M, Huynh N, Adler J, Cox B, Beard P, Ourselin, S, Arridge S. Model-Based Learning for Accelerated, Limited-View 3-D Photoacoustic Tomography. IEEE Trans Med Imaging. 2018 Jun;37(6):1382-1393. https://doi.org/10.1109/TMI.2018.2820382
  • Noimark S, Colchester RJ, Poduval RK, Maneas E, Alles EJ, Zhao T, Zhang EZ, Ashworth M, Tsolaki E, Chester AH, Latif N, Bertazzo S, David AL, Ourselin S, Beard PC, Parkin IP, Papakonstantinou I, Desjardins AE. Polydimethylsiloxane Composites for Optical Ultrasound Generation and Multimodality Imaging. Advanced Functional Materials. 2018;28(9):1704919. https://doi.org/10.1002/adfm.201704919
  • Ansari R, Zhang EZ, Desjardins AE, Beard PC (2018) All-optical forward-viewing photoacoustic probe for high-resolution 3D endoscopy. Light: Science & Applications 7:75. https://doi.org/10.1038/s41377-018-0070-5
  • Mathews SJ, Little C, Loder CD, Rakhit RD, Xia W, Zhang EZ, Beard PC, Finlay MC, Desjardins AE. All-optical dual photoacoustic and optical coherence tomography intravascular probe. Photoacoustics 2018;11:65-70. https://doi.org/10.1016/j.pacs.2018.07.002
  • Alles EJ, Colchester RJ, Desjardins AE. Adaptive All-Optical Ultrasound Imaging Through Temporal Modulation of Excitation Light. 2018 IEEE International Ultrasonics Symposium (IUS). https://doi.org/10.1109/ULTSYM.2018.8580194
  • Alles EJ, Noimark S, Papaevangelou E, Zhang EZ, Beard PC, Dcsjardins AE. Reconfigurable 1.5D Source Arrays for Improved Elevational Focussing in All-Optical Ultrasound Imaging. 2018 IEEE International Ultrasonics Symposium (IUS). https://doi.org/10.1109/ULTSYM.2018.8580210
  • Colchester RJ, Noimark S, Zhang EZ, Beard PC, Desjardins AE. Dual-Modality All-Optical Ultrasound and Photoacoustic Imaging Using Permanent Marker Ink. 2018 IEEE International Ultrasonics Symposium (IUS). https://doi.org/10.1109/ULTSYM.2018.8579904
  • Alles EJ, Colchester RJ, Makki Y, Noimark S, Zhang EZ, Beard PC, Finlay MC, Desjardins AE, editors. Real-Time, Video-Rate and Depth-Resolved Imaging of Radio-Frequency Ablation Using All-Optical Ultrasound. 2018 IEEE International Ultrasonics Symposium (IUS). https://doi.org/10.1109/ULTSYM.2018.8580211
  • Hauptmann, A., Cox, B., Lucka, F., Huynh, N., Betcke, M., Beard, P., & Arridge, S. (2018) Approximate k-Space Models and Deep Learning for Fast Photoacoustic Reconstruction. In: Knoll F., Maier A., Rueckert D. (eds) Machine Learning for Medical Image Reconstruction. MLMIR 2018. Lecture Notes in Computer Science, Springer, Cham (Vol. 11074, pp. 103–111). https://doi.org/10.1007/978-3-030-00129-2_12
  • Colchester RJ, Little C, Dwyer G, Noimark S, Alles EJ, Zhang EZ, Loder CD, Parkin IP, Papakonstantinou I, Beard PC, Finlay MC, Rakhit RD, Desjardins AE (2019) All-Optical Rotational Ultrasound Imaging. Scientific Reports 9:5576. https://doi.org/10.1038/s41598-019-41970-z
  • Colchester RJ, Alles EJ, Desjardins AE (2019) A directional fibre optic ultrasound transmitter based on a reduced graphene oxide and polydimethylsiloxane composite. Appl Phys Lett 114(113505). https://doi.org/10.1063/1.5089750
  • Xia W, Noimark S, Maneas E, Montana Brown N, Singh MKA, Ourselin S, West SJ, Desjardins AE (2019) Enhancing photoacoustic visualization of medical devices with elastomeric nanocomposite coatings. Proc. SPIE 10878, Photons Plus Ultrasound: Imaging and Sensing 2019, 108783G; https://doi.org/10.1117/12.2508658
  • Ansari, R., Zhang, E. Z., Desjardins, A. E., David, A. L., & Beard, P. C. (2019). Use of a flexible optical fibre bundle to interrogate a Fabry–Perot sensor for photoacoustic imaging. Optics Express, 27(26), 37886. https://doi.org/10.1364/OE.27.037886
  • Maneas E, Aughwane R, Huynh N, Xia W, Ansari R, Kuniyil Ajith Singh M, Hutchinson JC, Sebire NJ, Arthurs OJ, Deprest J, Ourselin S, Beard PC, Melbourne A, Vercauteren T, David AL, Desjardins AE. Photoacoustic imaging of the human placental vasculature. J Biophotonics. 2020 Apr;13(4): e201900167. https://doi.org/10.1002/jbio.201900167
  • Ansari, R., Zhang, E., Desjardins, A., & Beard, P. (2020). Miniature all-optical flexible forward-viewing photoacoustic endoscopy probe for surgical guidance. Optics Letters, 45(22), 6238–6241. https://doi.org/10.1364/OL.400295

 

Work Package 3 – Surgical Instrumentation

 

  • Devreker, A., Rosa, B., Desjardins, A., Alles, E., Garcia-Peraza, L., Maneas, E., Stoyanov, D., David, A., Vercauteren, T., Deprest, J., Ourselin, S., Reynaerts, D., Vander Poorten, E. (2015). Fluidic actuation for intra-operative in situ imaging. 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2015, pp. 1415-1421, https://doi.org/10.1109/IROS.2015.7353553.
  • Gruijthuijsen, C., Rosa, B., Snyers, H., Engels, A., Vercauteren, T., Deprest, J., Ourselin, S., Reynaerts, D., Vander Poorten, E. (2015). Prototyping Novel Instruments for Fetal Surgery through Virtual Reality Simulation and 3D Printing. Proceedings of the 5th Joint Workshop on New Technologies for Computer/Robot Assisted Surgery, pp. 98-101, 2015
  • Devreker, A., Rosa, B., Qian, J., Vercauteren, T., Ourselin, S., Vander Poorten, E., Reynaerts, D. (2015). Design and Validation of Pneumatically Actuated Fetoscope. Proceedings of the 5th Joint Workshop on New Technologies for Computer/Robot Assisted Surgery. pp. 127-129, 2015
  • Gruijthuijsen, C; Javaux, A; Borghesan, G; Vercauteren, T; Stoyanov, D; Ourselin, S; Perret, J; Reynaerts, D; Vander Poorten, E; (2016) Haptic Guidance in Comanipulated Laser Surgery for Fetal Disorders. In: Perret, J and Vander Poorten, E, (eds.) Proceedings of ACTUATOR 2016.
  • Dwyer G, Chadebecq F, Tella Amo M, Bergeles C, Maneas E, Pawar V, Vander Poorten E, Deprest J, Ourselin, S, De Coppi P, Vercauteren T, Stoyanov D. A Continuum Robot and Control Interface for Surgical Assist in Fetoscopic Interventions. IEEE Robot Autom Lett. 2017 Mar 8;2(3):1656-1663. https://doi.org/10.1109/LRA.2017.2679902
  • Javaux A, Esteveny L, Bouget D, Gruijthuijsen C, Stoyanov D, Vercauteren T, Ourselin S, Reynaerts D, Denis K, Deprest J, Poorten EV. Body wall force sensor for simulated minimally invasive surgery: Application to fetal surgery. 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS); 24-28 Sept. 2017. https://doi.org/10.1109/IROS.2017.8202150
  • Vandebroek T, Ourak M, Gruijthuijsen C, Esteveny L, Javaux A, Pimsamut C, Reynaerts D, Ourselin S, Stoyanov D, Vercauteren T, Deprest J, Vander Poorten E. Rendering Flexible Endoscopy Manageable through In-Hand Automation. Proceedings of the 7th Joint Workshop on New Technologies for Computer/Robot Assisted Surgery; 2017; pp. 99 – 100
  • Javaux A., Joyeux L., Deprest J., Denis K., Vander Poorten E. (2018) Motion-based skill analysis in a fetoscopic spina-bifida repair training model. Proceedings of the 8th Joint Workshop on New Technologies for Computer/Robot Assisted Surgery.
  • De Greef J., Poliakov V., Gruijthuijsen C., Javaux A., Ahmad MA, Philips J, Portoles Diez S, Vander Poorten E. (2018) Evaluating the Benefit of Assistive AR Technology through Eye Tracking in a Surgical Simulation System. The Industrial Track of EuroVR, 2018 – Proceedings of the 15th Annual EuroVR Conference; 2018; pp. 32 – 39.
  • Gruijthuijsen C, Colchester R, Devreker A, Javaux A, Maneas E, Noimark S, Xia W, Stoyanov D, Reynaerts D, Deprest J, Ourselin, S, Desjardins A, Vercauteren T, Vander Poorten E. Haptic Guidance Based on All-Optical Ultrasound Distance Sensing for Safer Minimally Invasive Fetal Surgery. J Med Robot Res. 2018 Apr 20;3. https://doi.org/10.1142/S2424905X18410015
  • J. Legrand et al., From a Disposable Ureteroscope to an Active Lightweight Fetoscope—Characterization and Usability Evaluation, in IEEE Robotics and Automation Letters, vol. 3, no. 4, pp. 4359-4366, Oct. 2018, https://doi: 10.1109/LRA.2018.2866204
  • Javaux A, Bouget D, Gruijthuijsen C, Stoyanov D, Vercauteren T, Ourselin, S, Deprest J, Denis K, Vander Poorten E. A mixed-reality surgical trainer with comprehensive sensing for fetal laser minimally invasive surgery. Int J Comput Assist Radiol Surg. 2018 Dec;13(12):1949-1957. https://doi.org/10.1007/s11548-018-1822-7
  • Portoles Diez S, Borghesan G, Joyeux L, Meuleman C, Deprest J, Stoyanov D, Ourselin, S, Vercauteren T, Reynaerts D, Poorten EBV. Evaluation of Haptic Feedback on Bimanually Teleoperated Laparoscopy for Endometriosis Surgery. IEEE Trans Biomed Eng. 2019 May;66(5):1207-1221. https://doi.org/10.1109/TBME.2018.2870542
  • Legrand J, Javaux A, Ourak M, Wenmakers D, Vercauteren T, Deprest J, Ourselin S, Denis K, Vander Poorten E. Handheld Active Add-On Control Unit for a Cable-Driven Flexible Endoscope. Front Robot AI. 2019 Sep 20;6:87. https://doi.org/10.3389/frobt.2019.00087
  • Vandebroek T, Ourak M, Gruijthuijsen C, Javaux A, Legrand J, Vercauteren T, Ourselin S, Deprest J, Poorten EV. Macro-Micro Multi-Arm Robot for Single-Port Access Surgery. 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS); 2019 pp. 425-432. https://doi.org/10.1109/IROS40897.2019.8968219.
  • Dwyer G, Colchester RJ, Alles EJ, Maneas E, Ourselin S, Vercauteren T, Deprest J, Poorten EV, Coppi PD, Desjardins AE, Stoyanov D. Robotic Control of a Multi-Modal Rigid Endoscope Combining Optical Imaging with All-Optical Ultrasound. 2019 International Conference on Robotics and Automation (ICRA); 2019, pp. 3882-3888. https://doi.org/10.1109/ICRA.2019.8794289
  • Ahmad MA, van der Merwe H, Deprest T, Poorten EV, Mazza E, Deprest J. 861: Finite element analysis of insufflation after fetoscopic cannulation. American Journal of Obstetrics and Gynecology. 2020;222(1, Supplement):S538. https://doi.org/10.1016/j.ajog.2019.11.875
  • Ahmad, M.A., Ourak, M., Gruijthuijsen, C., Deprest, J., Vercauteren, T., Vander Poorten, E. (2020). Deep learning-based monocular placental pose estimation: towards collaborative robotics in fetoscopy. IJCARS, 15 (9), 1561-1571. https://doi.org/10.1007/s11548-020-02166-3

Work Package 4 – Intraoperative Data Fusion

 

  • Chadebecq, F; Vercauteren, T; Wimalasundera, R; Attilakos, G; David, AL; Deprest, J; Ourselin, S; (2015) Practical Dry Calibration with Medium Adaptation for Fluid-Immersed Endoscopy. Presented at: Hamlyn Symposium on Medical Robotics, London.
  • Tella-Amo M, Peter L, Shakir DI, Deprest J, Stoyanov D, Iglesias JE, Vercauteren T, Ourselin, S. Probabilistic visual and electromagnetic data fusion for robust drift-free sequential mosaicking: application to fetoscopy. J Med Imaging (Bellingham). 2018 Apr;5(2):021217. https://doi.org/10.1117/1.JMI.5.2.021217
  • Peter L, Tella-Amo M, Shakir DI, Attilakos G, Wimalasundera R, Deprest J, Ourselin, S, Vercauteren T. Retrieval and registration of long-range overlapping frames for scalable mosaicking of in vivo fetoscopy. Int J Comput Assist Radiol Surg. 2018 May;13(5):713-720. https://doi.org/10.1007/s11548-018-1728-4
  • Tella-Amo M, Peter L, Shakir DI, Deprest J, Stoyanov D, Vercauteren T, Ourselin, S. Pruning strategies for efficient online globally consistent mosaicking in fetoscopy. J Med Imaging (Bellingham). 2019 Jul;6(3):035001. https://doi.org/10.1117/1.JMI.6.3.035001
  • Bano S, Vasconcelos F, Tella Amo M, Dwyer G, Gruijthuijsen C, Deprest J, Ourselin S, Vander Poorten E, Vercauteren T, Stoyanov D. Deep Sequential Mosaicking of Fetoscopic Videos. In: Shen D. et al. (eds) Medical Image Computing and Computer Assisted Intervention – MICCAI 2019; Lecture Notes in Computer Science, vol 11764. Springer, Cham. https://doi.org/10.1007/978-3-030-32239-7_35
  • Chadebecq F, Vasconcelos F, Lacher R, Maneas E, Desjardins A, Ourselin S, Vercauteren T, Stoyanov D. Refractive Two-View Reconstruction for Underwater 3D Vision. Int J Comput Vis. 2020;128(5):1101-1117. https://doi.org/10.1007/s11263-019-01218-9
  • García-Peraza-Herrera LC, Everson M, Lovat L, Wang HP, Wang WL, Haidry R, Stoyanov D, Ourselin S, Vercauteren T. Intrapapillary capillary loop classification in magnification endoscopy: open dataset and baseline methodology. Int J Comput Assist Radiol Surg. 2020 Apr;15(4):651-659. https://doi.org/10.1007/s11548-020-02127-w.
  • Bano S, Vasconcelos F, Vander Poorten E, Vercauteren T, Ourselin S, Deprest J, Stoyanov D. FetNet: a recurrent convolutional network for occlusion identification in fetoscopic videos. Int J Comput Assist Radiol Surg. 2020 May;15(5):791-801. https://doi.org/10.1007/s11548-020-02169-0
  • Bano S, Vasconcelos F, Tella-Amo M, Dwyer G, Gruijthuijsen C, Vander Poorten E, Vercauteren T, Ourselin S, Deprest J, Stoyanov D. Deep learning-based fetoscopic mosaicking for field-of-view expansion. Int J Comput Assist Radiol Surg. 2020 Nov;15(11):1807-1816. https://doi.org/10.1007/s11548-020-02242-8
  • Garcia-Peraza-Herrera LC, Fidon L, DrEttorre C, Stoyanov D, Vercauteren T, Ourselin S. Image Compositing for Segmentation of Surgical Tools without Manual Annotations. IEEE Trans Med Imaging, vol. 40, no. 5, pp. 1450-1460. 2021 https://doi.org/10.1109/TMI.2021.3057884
  • Bano S, Vasconcelos F, Shepherd LM, Vander Poorten E, Vercauteren T, Ourselin S, David AL, Deprest J, Stoyanov D. Deep Placental Vessel Segmentation for Fetoscopic Mosaicking. In: Martel A.L. et al. (eds) Medical Image Computing and Computer Assisted Intervention – MICCAI 2020; Lecture Notes in Computer Science, vol 12263. Springer, Cham. https://doi.org/10.1007/978-3-030-59716-0_73
  • Bano S, Vasconcelos F, Tella-Amo M, Dwyer G, Gruijthuijsen C, Vander Poorten E, Vercauteren T, Ourselin S, Deprest J, Stoyanov D. Deep learning-based fetoscopic mosaicking for field-of-view expansion. International Journal of Computer Assisted Radiology and Surgery. 2020;15(11):1807-16. https://doi.org/10.1007/s11548-020-02242-8

Work Package 5 – Clinical Validation

 

  • Xia W, Mari JM, West SJ, Ginsberg Y, David AL, Ourselin, S, Desjardins AE. In-plane ultrasonic needle tracking using a fiber-optic hydrophone. Med Phys. 2015 Oct;42(10):5983. https://doi.org/10.1118/1.4931418
  • Xia, W., Ginsberg, Y., West, S.J., Nikitichev, D.I., Ourselin, S., David, A.L., Desjardins, A.E. Coded excitation ultrasonic needle tracking: An in vivo study (2016) Medical Physics, 43 (7), pp. 4065-4073. https://doi.org/10.1118/1.4953205
  • Xia W, West SJ, Finlay MC, Mari JM, Ourselin, S, David AL, Desjardins AE. Looking beyond the imaging plane: 3D needle tracking with a linear array ultrasound probe. Sci Rep. 2017 Jun 16;7(1):3674. https://doi.org/10.1038/s41598-017-03886-4
  • Xia W, Noimark S, Ourselin S, West SJ, Finlay MC, David AL, Desjardins AE. Ultrasonic Needle Tracking with a Fibre-Optic Ultrasound Transmitter for Guidance of Minimally Invasive Fetal Surgery. Med Image Comput Comput Assist Interv. 2017 Sep;10434:637-645. https://doi.org/10.1007/978-3-319-66185-8_72
  • Xia W, Kuniyil Ajith Singh M, Maneas E, Sato N, Shigeta Y, Agano T, Ourselin, S, J West S, E Desjardins A. Handheld Real-Time LED-Based Photoacoustic and Ultrasound Imaging System for Accurate Visualization of Clinical Metal Needles and Superficial Vasculature to Guide Minimally Invasive Procedures. Sensors (Basel). 2018 May 1;18(5). pii: E1394. https://doi.org/10.3390/s18051394
  • Xia W, West SJ, Finlay MC, Pratt R, Mathews S, Mari JM, Ourselin, S, David AL, Desjardins AE. Three-Dimensional Ultrasonic Needle Tip Tracking with a Fiber-Optic Ultrasound Receiver. J Vis Exp. 2018 Aug 21;(138). https://doi.org/10.3791/57207
  • SJ Mathews, S Mosse, W Xia, DI Shakir, Y Kunpalin, EZ Zhang, PC Beard, SJ West, AL David, AE Desjardins (2019) Ultrasonic needle tracking with a high-finesse Fabry-Perot fiber optic hydrophone. SPIE 10868, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XVII, 108681D. https://doi.org/10.1117/12.2509670
  • Zhao T, Desjardins AE, Ourselin, S, Vercauteren T, Xia W. Minimally invasive photoacoustic imaging: Current status and future perspectives. Photoacoustics. 2019 Oct 31; 16:100146. https://doi.org/10.1016/j.pacs.2019.100146
  • Zhao T, Ourselin S, Vercauteren T, Xia W. Seeing through multimode fibers with real-valued intensity transmission matrices. Opt Express. 2020 Jul 6;28(14):20978-20991. https://doi.org/10.1364/OE.396734
  • Zhao T, Ourselin S, Vercauteren T, Xia W. High-speed photoacoustic-guided wavefront shaping for focusing light in scattering media. Opt Lett. 2021 Mar 1;46(5):1165-1168. https://doi.org/10.1364/OL.412572

Work Package 6 – Regenerative Medicine

 

  • Joyeux L, Engels AC, Russo FM, Jimenez J, Van Mieghem T, De Coppi P, Van Calenbergh F, Deprest J. Fetoscopic versus Open Repair for Spina Bifida Aperta: A Systematic Review of Outcomes. Fetal Diagn Ther. 2016;39(3):161-71. https://doi.org/10.1159/000443498
  • Joyeux L, Deprez M, Khatoun A, Van Kuyck K, Pelsmaekers K, Engels AC, Wang H, Monteiro Carvalho Mori da Cunha MG, De Vleeschauwer S, Mc Laughlin M, Deprest J. Quantitative analysis of motor evoked potentials in the neonatal lamb. Sci Rep. 2017 Nov 23;7(1):16095. https://doi.org/10.1038/s41598-017-16453-8
  • Joyeux L, Danzer E, Flake AW, Deprest J. Fetal surgery for spina bifida aperta. Arch Dis Child Fetal Neonatal Ed. 2018 Jul 13, 103:F589-F595. https://doi.org/10.1136/archdischild-2018-315143
  • Skinner S, Crossley K, Amberg B, Kashyap A, Hooper S, Deprest JA, Hodges R, DeKoninck P. The effects of partial amniotic carbon dioxide insufflation in an ovine model. Prenat Diagn. 2018 Oct 4, 38: 994– 1003. https://doi.org/10.1002/pd.5368
  • Amberg B, Hodges R, Kashyap A, Skinner S, Rodgers K, Mcgillick E, Deprest J, Hooper S, Crossley K, Dekoninck P. Physiological effects of cold-dry versus heated-humidified partial amniotic carbon dioxide insufflation in sheep. Ultrasound Obstet Gynecol. 2018 Nov 21, 53: 340-347.https://doi.org/10.1002/uog.20180
  • Subramaniam S, Antoniadou E, de Coppi P, David AL. Chapter 1 – In Utero Therapy for Congenital Disorders Using Amniotic Fluid Stem Cells. In: Atala A, Cetrulo KJ, Taghizadeh RR, Murphy SV, Cetrulo CL, editors. Perinatal Stem Cells. Boston: Academic Press; 2018. p. 3-20. https://doi.org/10.1016/B978-0-12-812015-6.00001-7
  • Shangaris P, Loukogeorgakis SP, Blundell MP, Petra E, Shaw SW, Ramachandra DL, Maghsoudlou P, Urbani L, Thrasher AJ, De Coppi P, David AL. Long-Term Hematopoietic Engraftment of Congenic Amniotic Fluid Stem Cells After in Utero Intraperitoneal Transplantation to Immune Competent Mice. Stem Cells and Development. 2018;27(8):515-23. https://doi.org/10.1089/scd.2017.0116
  • Shangaris P, Loukogeorgakis SP, Subramaniam S, Flouri C, Jackson LH, Wang W, Blundell MP, Liu S, Eaton S, Bakhamis N, Ramachandra DL, Maghsoudlou P, Urbani L, Waddington SN, Eddaoudi A, Archer J, Antoniou MN, Stuckey DJ, Schmidt M, Thrasher AJ, Ryan TM, De Coppi P, David AL. In Utero Gene Therapy (IUGT) Using GLOBE Lentiviral Vector Phenotypically Corrects the Heterozygous Humanised Mouse Model and Its Progress Can Be Monitored Using MRI Techniques. Scientific Reports. 2019;9(1):11592. https://doi.org/10.1038/s41598-019-48078-4
  • Loukogeorgakis SP, Shangaris P, Bertin E, Franzin C, Piccoli M, Pozzobon M, Subramaniam S, Tedeschi A, Kim AG, Li H, Fachin CG, Dias AIBS, Stratigis JD, Ahn NJ, Thrasher AJ, Bonfanti P, Peranteau WH, David AL, Flake AW, De Coppi P. In Utero Transplantation of Expanded Autologous Amniotic Fluid Stem Cells Results in Long-Term Hematopoietic Engraftment. STEM CELLS. 2019;37(9):1176-88. https://doi.org/10.1002/stem.3039
  • Joyeux L, Engels AC, Van Der Merwe J, Aertsen M, Patel PA, Deprez M, Khatoun A, Pranpanus S, da Cunha MGMCM, De Vleeschauwer S, Parra J, Apelt K, Laughlin MM, Van Calenbergh F, Radaelli E, Deprest J. Validation of the Fetal Lamb Model of Spina Bifida. Sci Rep. 2019 Jun 27;9(1):9327. https://doi.org/10.1038/s41598-019-45819-3
  • Amberg BJ, Hodges RJ, Kashyap AJ, Skinner SM, Rodgers KA, McGillick EV, Deprest JA, Hooper SB, Crossley KJ, DeKoninck PLJ. Physiological effects of partial amniotic carbon dioxide insufflation with cold, dry vs heated, humidified gas in a sheep model. Ultrasound Obstet Gynecol. 2019 Mar;53(3):340-347. https://doi.org/10.1002/uog.20180
  • Inversetti A, Van der Veeken L, Thompson D, Jansen K, Van Calenbergh F, Joyeux L, Bosteels J, Deprest J. Neurodevelopmental outcome of children with spina bifida aperta repaired prenatally vs postnatally: systematic review and meta-analysis. Ultrasound Obstet Gynecol. 2019 Mar;53(3):293-301. https://doi.org/10.1002/uog.20188
  • Danzer E, Joyeux L, Flake AW, Deprest J. Fetal surgical intervention for myelomeningocele: lessons learned, outcomes, and future implications. Dev Med Child Neurol. 2019 Dec 16; 62: 417-425. https://doi.org/10.1111/dmcn.14429
  • Joyeux L, De Bie F, Danzer E, Russo FM, Javaux A, Peralta CFA, De Salles AAF, Pastuszka A, Olejek A, Van Mieghem T, De Coppi P, Moldenhauer J, Whitehead WE, Belfort MA, Lapa DA, Acacio GL, Devlieger R, Hirose S, Farmer DL, Van Calenbergh F, Adzick NS, Johnson MP, Deprest J. Learning curves of open and endoscopic fetal spina bifida closure: a systematic review and meta-analysis. Ultrasound Obstet Gynecol. 2020;55:730-739. https://doi.org/10.1002/uog.20389
  • Prayer D, Deprest J. The use of MRI in fetal conditions amenable for antenatal management. Prenat Diagn. 2020 Jan;40(1):3-5. https://doi.org/10.1002/pd.5629
  • Basurto D, Sananès N, Verbeken E, Sharma D, Corno E, Valenzuela I, Van Der Veeken L, Favre R, Russo FM, Deprest J. New device permitting non-invasive reversal of fetoscopic tracheal occlusion: ex-vivo and in-vivo study. Ultrasound Obstet Gynecol. 2020 Jun 30; 56: 522-531. https://doi.org/10.1002/uog.22132
  • Joyeux L, Javaux A, Eastwood MP, De Bie FR, Van den Bergh G, Degliuomini RS, Vergote S, Micheletti T, Callewaert G, Ourselin S, De Coppi P, Van Calenbergh F, Vander Poorten E, Deprest J. Validation of a high-fidelity training model for fetoscopic spina bifida surgery. Sci Rep. 2021 Mar 17;11(1):6109. https://doi.org/10.1038/s41598-021-85607-6
  • Cordier AG, Russo FM, Deprest J, Benachi A. Prenatal diagnosis, imaging, and prognosis in Congenital Diaphragmatic Hernia. Semin Perinatol. 2020 Feb;44(1):51163. https://doi.org/10.1053/j.semperi.2019.07.002
  • Bouchghoul H, Dumery G, Russo FM, Cordier AG, Le Sache N, Debeer A, Decaluwé H, Fouquet V, Senat MV, Deprest J, Benachi A Optimal gestational age at delivery for congenital diaphragmatic hernia. Ultrasound Obstet Gynecol. 2021;57: 968-973. https://doi.org/10.1002/uog.22133
  • Kunpalin Y, Richter J, Mufti N, Bosteels J, Ourselin S, De Coppi P, Thompson D, David AL, Deprest J. Cranial findings detected by second trimester ultrasound in fetuses with myelomeningocele: a systematic review. BJOG: Int J Obstet Gy. 2021; 128: 366– 374. https://doi.org/10.1111/1471-0528.16496
  • Kunpalin Y, Subramaniam S, Perin S, Gerli MFM, Bosteels J, Ourselin S, Deprest J, De Coppi P, David AL. Preclinical stem cell therapy in fetuses with myelomeningocele: A systematic review and meta-analysis. Prenat Diagn. 2021 Feb;41(3):283-300. https://doi.org/10.1002/pd.5887

Work Package 7 – Efficacy and Acceptability of Fetal Surgery

 

  • Van Calenbergh F, Joyeux L, Deprest J. Maternal-fetal surgery for myelomeningocele: some thoughts on ethical, legal, and psychological issues in a Western European situation. Child Nerv Syst. 2017 Aug;33(8):1247-1252. https://doi.org/10.1007/s00381-017-3446-6
  • Joyeux L, De Bie F, Danzer E, Van Mieghem T, Flake AW, Deprest J. Safety and efficacy of fetal surgery techniques to close a spina bifida defect in the fetal lamb model: a systematic review. Prenat Diagn. 2018 Mar;38(4):231-242. https://doi.org/10.1002/pd.5222
  • Cao KX, Booth A, Ourselin, S, David AL, Ashcroft R. The legal frameworks that govern fetal surgery in the United Kingdom, European Union, and the United States. Prenat Diagn. 2018 Jun;38(7):475-481. https://doi.org/10.1002/pd.5267

Work Package 8 – Clinical Training and Assessment

 

  • Vasconcelos, F., Peebles, D., Ourselin, S., Stoyanov, D. Spatial calibration of a 2D/3D ultrasound using a tracked needle (2016) International Journal of Computer Assisted Radiology and Surgery, 11 (6), pp. 1091-1099. https://doi.org/10.1007/s11548-016-1392-5
  • Vasconcelos F, Brandão P, Vercauteren T, Ourselin, S, Deprest J, Peebles D, Stoyanov D. Towards computer-assisted TTTS: Laser ablation detection for workflow segmentation from fetoscopic video. Int J Comput Assist Radiol Surg. 2018 Oct;13(10):1661-1670. https://doi.org/10.1007/s11548-018-1813-8
  • Brian Dromey, Shahnaz Ahmed, Francisco Vasconcelos, Evangelos Mazomenos, Sebastien Ourselin, Danail Stoyanov, Anna David, Donald Peebles. Quantifying expert performance in obstetric ultrasound and comparing it to novice performance: data to improve training. Fetal Medicine. BJOG: An International Journal of Obstetrics & Gynaecology. 2019;126(S1):7-9. https://doi.org/10.1111/1471-0528.15630
  • Dromey, B., Vasconcelos, F., Ourselin, S., David, A., Stoyanov, D. and Peebles, D. (2020), 01: Dimensionless jerk: an objective differential to assess experienced and novice ultrasound operators in a clinical setting. Ultrasound Obstet Gynecol, 56: 196-196. https://doi.org/10.1002/uog.22834
  • Dromey BP, Peebles DM, Stoyanov DV. A Systematic Review and Meta-analysis of the Use of High-Fidelity Simulation in Obstetric Ultrasound. Simulation in Healthcare. 2021;16(1). https://doi.org/10.1097/SIH.0000000000000485
  • Dromey BP, Ahmed S, Vasconcelos F, Mazomenos E, Kunpalin Y, Ourselin S, Deprest J, David AL, Stoyanov D, Peebles DM. Dimensionless squared jerk: An objective differential to assess experienced and novice probe movement in obstetric ultrasound. Prenat Diagn. 2021 Jan;41(2):271-277. https://doi.org/10.1002/pd.5855

 

 

Work Package 9 – System Integration

 

  • G Sato dos Santos, E Maneas, D Nikitichev, A Barburas, AL David, J Deprest, A Desjardins, T Vercauteren, S Ourselin. A Registration Approach to Endoscopic Laser Speckle Contrast Imaging for Intrauterine Visualisation of Placental Vessels. In: Navab N., Hornegger J., Wells W., Frangi A. (eds) Medical Image Computing and Computer-Assisted Intervention — MICCAI 2015. MICCAI 2015. Lecture Notes in Computer Science, vol 9349. Springer, Cham. https://doi.org/10.1007/978-3-319-24553-9_56
  • Maneas, E; Sato dos Santos, G; Deprest, J; Wimalasundera, R; David, AL; Vercauteren, T; Ourselin, S; (2015) Adaptive Filtering of Fibre-optic Fetoscopic Images for Fetal Surgery. Presented at: Hamlyn Symposium on Medical Robotics, London.
  • Nikitichev DI, Xia W, Hill E, Mosse CA, Perkins T, Konyn K, Ourselin S, Desjardins AE, Vercauteren T. Music-of-light stethoscope: a demonstration of the photoacoustic effect. Phys Educ. 2016 Jul;51(4):045015. https://doi.org/10.1088/0031-9120/51/4/045015

  • Ourselin S, Emberton M, Vercauteren T. From computer-assisted intervention research to clinical impact: The need for a holistic approach. In: Medical Image Analysis,  2016, Volume 33. Pages 72-78, ISSN 1361-8415, https://doi.org/10.1016/j.media.2016.06.018.

  • Nikitichev DI, Shakir DI, Chadebecq F, Tella M, Deprest J, Stoyanov D, Ourselin, S, Vercauteren T. Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration. J Vis Exp. 2017 Feb 23;(120). https://doi.org/10.3791/55298
  • Doel, T., Shakir, D.I., Pratt, R., Aertsen, M., Moggridge, J., Bellon, E., David, A.L., Deprest, J., Vercauteren, T., Ourselin, S. GIFT-Cloud: A data sharing and collaboration platform for medical imaging research (2017) Computer Methods and Programs in Biomedicine, 139, pp. 181-190. https://doi.org/10.1016/j.cmpb.2016.11.004
  • Shakir, D. I., García-Peraza-Herrera, L. C., Daga, P., Doel, T., Clarkson, M. J., Ourselin, S., & Vercauteren, T. (2017). GIFT-Grab: Real-time C++ and Python multi-channel video capture, processing and encoding API. Journal of Open Research Software, 5(1), 27. DOI: http://doi.org/10.5334/jors.169
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    Medical Image Analysis, Volume 72, 2021,102102, ISSN 1361-8415, https://doi.org/10.1016/j.media.2021.102102