Key publications

Work Package 1 – Surgical Planning and Visualisation

  • MRI Measurement of Placental Perfusion and Oxygen Saturation in Early Onset Fetal Growth Restriction.  Aughwane, R. et al. (2020). BJOG An International Journal of Obstetrics and Gynaecology, 1471-0528.16387. doi: 10.1111/1471-0528.16387

  • Separating fetal and maternal placenta circulations using multi parametric MRI. Melbourne, A. (2018). Magnetic Resonance in Medicine. doi: 10.1002/mrm.27406
  • Placental MRI and its application to fetal intervention. Aughwane, R. et al. Prenatal Diagnosis (2019). doi:10.1002/pd.5526
  • Micro-CT and histological investigation of the spatial pattern of feto-placental vascular density. Aughwane, R. et al. (2019). Placentadoi: 10.1007/s11548-020-02166-3 Open Access
  • An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI. Ebner, M. et al. (2020). Neuroimagedoi: 10.1016/j.neuroimage.2019.116324

Work Package 2 – Intraoperative Sensing

 

  • Approximate k-Space Models and Deep Learning for Fast Photoacoustic Reconstruction. Hauptmann, A., Cox, B., Lucka, F., Huynh, N., Betcke, M., Beard, P., & Arridge, S. (2018). In: Knoll, F., Maier, A., Rueckert, D. (eds) Machine Learning for Medical Image Reconstruction. MLMIR 2018. Lecture Notes in Computer Science, vol 11074. Springer, Cham (Vol. 11074, pp. 103–111). Springer International Publishing. doi: 10.1007/978-3-030-00129-2_12
  • Enhancing photoacoustic visualization of medical devices with elastomeric nanocomposite coatings. Xia, W., Noimark, S.Maneas, E., Montana Brown, N, Singh, M. K. A., Ourselin, S., West, S. J., Desjardins, A. E. (2019). Proc. SPIE 10878, Photons Plus Ultrasound: Imaging and Sensing 2019, 108783G. doi: 10.1117/12.2508658
  • Photoacoustic imaging of the human placental vasculature. Maneas, E., Aughwane, R., Huynh, N., Xia, W., Ansari, R., Singh, M. K. A., Hutchinson, C. J., Sebire, N. J., Arthurs, O. J., Deprest, J., Ourselin, S., Beard, P. C., Melbourne, A., Vercauteren, T., Desjardins, A. E. (2019). Journal of Biophotonics. doi: 10.1002/jbio.201900167
  • Polydimethylsiloxane Composites for Optical Ultrasound Generation and Multimodality Imaging. Noimark, S., Colchester, R. J., Poduval, R. K., Maneas, E., Alles, E. J., Zhao, T., Zhang, E. Z., Ashworth, M., Tsolaki, E., Chester, A. H., Latif, N., Bertazzo, S., David, A. L., Ourselin, S., Beard, P. C., Parkin, I. P., Papakonstantinou, I., Desjardins, A. E. (2018). Advanced Functional Materials, 28, 1704919. doi: 10.1002/adfm.201704919

  • Miniature all-optical flexible forward-viewing photoacoustic endoscopy probe for surgical guidance. Ansari, R., Zhang, E. Z., Desjardins, A. E., Beard, P. C. (2020). Optics Letters, 45, 6238-6241. doi: 10.1364/OL.400295

Work Package 3 – Surgical Instrumentation

 

  • A mixed-reality surgical trainer with comprehensive sensing for fetal laser minimally invasive surgery.  Javaux, A., Bouget, D., Gruijthuijsen, C., Stoyanov, D., Vercauteren, T., Ourselin, S., Deprest, J., Denis, K., Vander Poorten, E. (2018).  International Journal of Computer Assisted Radiology and Surgery, 13 (12), 1949-1957. doi: 10.1007/s11548-018-1822-7 Open Access
  • Haptic Guidance based on All-Optical Ultrasound Distance Sensing for Safer Minimally Invasive Fetal Surgery. Gruijthuijsen, C., Colchester, R., Devreker, A., Javaux, A., Efthymios, M., Noimark, S., Xia, W., Stoyanov, D., Reynaerts, D., Deprest, J., Ourselin, S., Desjardins, A., Vercauteren, T., Vander Poorten, E. (2018). Journal of Medical Robotics Research03 (03n04), 1841001-1841001. doi: 10.1142/S2424905X18410015
  • Deep learning-based monocular placental pose estimation: towards collaborative robotics in fetoscopy. Ahmad, M.A., Ourak, M., Gruijthuijsen, C., Deprest, J., Vercauteren, T., Vander Poorten, E. (2020).  International Journal of Computer Assisted Radiology and Surgerydoi: 10.1007/s11548-020-02166-3 Open Access
  • From a Disposable Ureteroscope to an Active Lightweight Fetoscope-Characterization and Usability Evaluation. Legrand, J., Ourak, M., Javaux, A., Gruijthuijsen, C., Ahmad, M., Van Cleynenbreugel, B., Vercauteren, T., Deprest, J., Ourselin, S., Vander Poorten, E. (2018). IEEE Robotics and Automation Letters3 (4), 4359-4366. doi: 10.1109/LRA.2018.2866204 Open Access
  • Macro-Micro Multi-Arm Robot for Single-Port Access Surgery. Vandebroek, T., Ourak, M., Gruijthuijsen, C., Javaux, A., Legrand, J., Vercauteren, T., Ourselin, S., Deprest, J., Vander Poorten, E. (2019). 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), (425-432). Presented at the IEEE/RSJ International Conference on Intelligent Robots and Systems, Macao, China, 03 Nov 2019-08 Nov 2019. doi: 10.1109/IROS40897.2019.8968219 Open Access
  • Synergistic Robotic Surgery: Novel Techniques to Harmonize Surgeon and Robot. Gruijthuijsen, C., Reynaerts, D. (sup.), Vander Poorten, E. (cosup.) (2019). Open Access

Work Package 4 – Intraoperative Data Fusion

 

  • Deep learning-based fetoscopic mosaicking for field-of-view expansionBano, S., Vasconcelos, F., Tella-Amo, M., Dwyer, G., Gruijthuijsen, C., Vander Poorten, E., Vercauteren, T., Ourselin, S., Deprest, J. and Stoyanov, D. (2020). International Journal of Computer Assisted Radiology and Surgery, pp.1-10. Video presentation.
  • FetNet: a recurrent convolutional network for occlusion identification in fetoscopic videos. Bano, S., Vasconcelos, F., Vander Poorten, E., Vercauteren, T., Ourselin, S., Deprest, J. and Stoyanov, D. (2020). International Journal of Computer Assisted Radiology and SurgeryVideo presentation.
  • Refractive Two-View Reconstruction for Underwater 3D Vision. Chadebecq, F., Vasconcelos, F., Lacher, R., Maneas, E., Desjardins, A., Ourselin, S., Vercauteren, T. and Stoyanov, D. (2019).  International Journal of Computer Vision, pp.1-17. doi: 10.1007/s11263-019-01218-9
  • Probabilistic visual and electromagnetic data fusion for robust drift-free sequential mosaicking: application to fetoscopyTella-Amo, M., Peter, L., Shakir, D. I., Deprest, J., Stoyanov, D., Iglesias, J. E., Vercauteren, T., Ourselin, S. (2018).  Journal of Medical Imaging, 5(2) 021217. doi: 10.1117/1.JMI.5.2.021217 
  • Retrieval and registration of long-range overlapping frames for scalable mosaicking of in vivo fetoscopy. Peter, L., Tella-Amo, M., Shakir, D.I. et al. (2018). International Journal of Computer Assisted Radiology and Surgery, 13, 713–720. doi: 10.1007/s11548-018-1728-4 

Work Package 5 – Clinical Validation

 

  • Motion-based skill analysis in a fetoscopic spina-bifida repair training model. Javaux, A., Joyeux, L., Deprest, J., Denis, K., Vander Poorten, E. 2018-09. CRAS. Date: 2018/09/10 – 2018/09/11. Location: London, UK. Open Access.

  • Feasibility and safety of three- and single-port fetoscopy for spina bifida in the fetal lamb. Joyeux L., Basurto D., Van der Veeken L., Kunpalin Y., Corno E., Pla LY., Inversetti A., De Vleeschauwer S., Van Calenbergh F., Deprest J. (2019). American Journal of Obstetrics and Gynecology: vol. 220 (1) S158-S159. Presented at the 39th Annual Pregnancy Meeting of the Society-for-Maternal-Fetal-Medicine (SMFM), Las Vegas, NV, 11-16 Feb 2019. doi: 10.1016/j.ajog.2018.11.240

  • Safety and feasibility of humidified-warmed PACI (partial-amniotic-carbon-dioxide-insufflation) for fetoscopic spina bifida repair. Joyeux, D. Basurto, T. Bleeser, L. Van der Veeken, Y. Kunpalin, E. Corno, A. Inversetti, S. De Vleeschauwer, P. De Coppi, F. Van Calenbergh, J. Deprest. (2020). American Journal of Obstetrics and Gynecology: vol. 222(1) S680-S681. Presented at the 40th Annual Pregnancy Meeting of the Society-for-Maternal-Fetal-Medicine (SMFM), Grapevine, TX, 3-8 Feb 2020. doi: 10.1016/j.ajog.2019.11.1117

  • 3D vs. 2D Fetoscopy for Spina Bifida Repair: a Quantitative Motion Analysis in a High Fidelity Training Model. Weiler, L. Joyeux, A. M. Ahmad , J. Deprest, E. Vander Poorten.  (master thesis, Yolan Weiler, Master of Science in Biomedical Engineering, Katholieke Universiteit Leuven). 

  • Looking beyond the imaging plane: 3D needle tracking with a linear array ultrasound probe. Xia, W., West, S. J., Finlay, M. C., Mari, J. M., Ourselin, S., David, A. L., Desjardins, A. E. (2017). Scientific reportsdoi: 10.1038/s41598-017-03886-4 

Work Package 6 – Regenerative Medicine

 

  • Validation of the Fetal Lamb Model of Spina Bifida. 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. (2019). Scientific Reports, 9(1):9327. doi: 10.1038/s41598-019-45819-3. 
  • Learning curves of open and endoscopic fetal spina bifida closure: a systematic review and meta-analysis. 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.  (2019). Ultrasound in Obstetrics and Gynecology.  doi: 10.1002/uog.20389. [Epub ahead of print] Review 
  • Physiological effects of partial amniotic carbon dioxide insufflation with cold, dry vs heated, humidified gas in a sheep model. Amberg BJ, Hodges RJ, Kashyap AJ, Skinner SM, Rodgers KA, McGillick EV, Deprest JA, Hooper SB, Crossley KJ, DeKoninck PLJ. (2019). Ultrasound in Obstetrics and Gynecology. 53(3):340-347. doi: 10.1002/uog.20180
  • In utero therapy for congenital disorders using amniotic fluid stem cells. Subramaniam, S., Antoniadou, E., De Coppi, P., David, A. L.  (2018) Perinatal stem Cells: Research and Therapy, Book Chapter
  • Stem cell therapy in fetuses with spina bifida aperta: a systematic review and meta-analysis. Kunpalin, Y., Subramaniam, S., Perin, S., Bosteels, J., Ourselin, S., Deprest, J., De Coppi, P., David, A. L..  (Communicated to Prenatal Diagnosis)

Work Package 7 – Efficacy and Acceptability of Fetal Surgery

 

  • The legal frameworks that govern fetal surgery in the United Kingdom, European Union, and the United States.  Cao KX, Booth A, Ourselin S, David AL, Ashcroft. (2018).  Prenatal Diagnosis, 2018 Jun, 38(7):475-481. doi: 10.1002/pd.5267
  • Development of a Core Outcome Set for Fetal MyelomenIngoCele (COSMiC): study protocol. Altoukhi S, Whitehead CL, Ryan G, Deprest J, Joyeux L, Gallagher K, et al. (2020). Trials, 21; 732. Open Access.
  • Core outcome sets in women’s and newborn health. A systematic review, methodological quality assessment, and reporting quality assessment informing high impact actions for core outcome set developers and wider stakeholdersGallagher K, Dromey B, David A, Marlow N, Ourselin S, Duffy J. (under review; preprint available at: doi: 10.22541/au.159819265.57456701)

Work Package 8 – Clinical Training and Assessment

 

    • A Systematic Review and Meta-analysis of the Use of High-Fidelity Simulation in Obstetric Ultrasound. Dromey, B. P., Peebles, D. M., & Stoyanov, D. V. (2020). Simulation Healthcare. doi: 10.1097/SIH.0000000000000485 
    • Quantifying expert performance in obstetric ultrasound using probe tracking systems: data to improve trainingDromey, B. P., Ahmed, S., Vasconcelos, F., Mazomenos, E., David, A. L., Ourselin, S., . . . Peebles, D. (2019). Conference presentation.