Localised 3D disparity regularisation for improving contour propagation in Adaptive Radiotherapy

Durai Arun Pannir Selvam; David I. Laurenson; William H. Nailon; Duncan B. McLaren

doi:10.1117/12.2580574

15 February 2021 Localised 3D disparity regularisation for improving contour propagation in Adaptive Radiotherapy

Durai Arun Pannir Selvam, David I. Laurenson, William H. Nailon, Duncan B. McLaren

Proceedings Volume 11596, Medical Imaging 2021: Image Processing; 115962U (2021) https://doi.org/10.1117/12.2580574
Event: SPIE Medical Imaging, 2021, Online Only

Conference Poster

Abstract

Identifying target volumes is a key component in image-guided adaptive radiotherapy. Furthermore, propagating contours from treatment planning images to images acquired during treatment is a difficult image registration problem due to organ motion. Among many deformable image registration techniques, block matching has been studied extensively in prostate and bladder cancer. Here, we propose a two-pass, three-dimensional disparity regularisation that accounts for anatomical constraints by distance and neighbouring motion vectors' orientation. This approach improves the Dice similarity score of the delineation/contour propagation and results in a non- iterative and non-pyramidal method with reduced computational time.

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Citation Download Citation

Durai Arun Pannir Selvam, David I. Laurenson, William H. Nailon, and Duncan B. McLaren "Localised 3D disparity regularisation for improving contour propagation in Adaptive Radiotherapy", Proc. SPIE 11596, Medical Imaging 2021: Image Processing, 115962U (15 February 2021); https://doi.org/10.1117/12.2580574

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