Real-time mosaicing of fetoscopic videos using SIFT

Conference item


Daga, P., Chadebecq, F., Shakir, D., Herrera, L., Tella, M., Dwyer, G., David, A., Deprest, J., Stoyanov, D., Vercauteren, T. and Ourselin, S. 2016. Real-time mosaicing of fetoscopic videos using SIFT. SPIE Medical Imaging 2016. San Diego, California, United States 27 Feb - 03 Mar 2016 SPIE. https://doi.org/10.1117/12.2217172
TitleReal-time mosaicing of fetoscopic videos using SIFT
AuthorsDaga, P., Chadebecq, F., Shakir, D., Herrera, L., Tella, M., Dwyer, G., David, A., Deprest, J., Stoyanov, D., Vercauteren, T. and Ourselin, S.
Abstract

Fetoscopic laser photo-coagulation of the placental vascular anastomoses remains the most effective therapy for twin-to-twin transfusion syndrome (TTTS) in monochorionic twin pregnancies. However, to ensure the success of the intervention, complete photo-coagulation of all anastomoses is needed. This is made difficult by the limited field of view of the fetoscopic video guidance, which hinders the surgeon's ability to locate all the anastomoses. A potential solution to this problem is to expand the field of view of the placental surface by creating a mosaic from overlapping fetoscopic images. This mosaic can then be used for anastomoses localization and spatial orientation during surgery. However, this requires accurate and fast algorithms that can operate within the real-time constraints of fetal surgery. In this work, we present an image mosaicing framework that leverages the parallelism of modern GPUs and can process clinical fetoscopic images in real-time. Initial qualitative results on ex-vivo placental images indicate that the proposed framework can generate clinically useful mosaics from fetoscopic videos in real-time.

KeywordsImage stitching; Mosaicing; SIFT; image-guided surgery; GPU; CUDA; feature extraction
ConferenceSPIE Medical Imaging 2016
Proceedings TitleMedical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling
SeriesProceedings of SPIE
ISSN0277-786X
Electronic1996-756X
PublisherSPIE
Publication dates
Online18 Mar 2016
Publication process dates
Accepted2016
Deposited28 Feb 2024
Digital Object Identifier (DOI)https://doi.org/10.1117/12.2217172
Web of Science identifierWOS:000382315800061
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