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000298917 245__ $$aAccuracy of an articulated head-and-neck motion model using deep learning-based instance segmentation of skeletal bones in CT scans for image registration in radiotherapy
000298917 260__ $$aAbingdon$$bTaylor & Francis$$c2025
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000298917 520__ $$aKnowing about anatomical deformations in patient images is crucial for adaptive image-guided radiation therapy. Biomechanical models ensure biofidelity in deformable image registration, but manual contouring limits their clinical use. We investigate the application of automatically generated contours for a biomechanical registration model in head and neck cancer treatment. For that, we automatically generate individual bone segmentations on planning CT scans examining a custom-trained nnU-Net model and the ready-trained TotalSegmentator model. Both sets of segmentations are evaluated using DICE, Hausdorff Distance and surface DICE. We investigate their impact on the build-up of the biomechanical articulated skeleton model by deviations in joint positioning and CT-CT registration accuracy using target registration error (TRE). The custom-trained model achieves 1.51 ± 0.26 mm TRE, with no significant difference in registration accuracy. While the TotalSegmentator does not provide all structures needed for the complete biomechanical model build-up. Overall, deep learning–based automatic bone segmentation can replace manual contouring in this model, matching its performance.
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000298917 7001_ $$0P:(DE-He78)4bd03d4309102cd33e3be66962e3506a$$aBauer, Cornelius$$b1$$eFirst author
000298917 7001_ $$0P:(DE-He78)a53fbc29983d089b1254ac458b60227d$$aYawson, Ama Katseena$$b2$$udkfz
000298917 7001_ $$0P:(DE-HGF)0$$aHoegen-Saßmannshausen, Philipp$$b3
000298917 7001_ $$aAdeberg, Sebastian$$b4
000298917 7001_ $$0P:(DE-He78)8714da4e45acfa36ce87c291443a9218$$aDebus, Jürgen$$b5$$udkfz
000298917 7001_ $$0P:(DE-He78)440a3f62ea9ea5c63375308976fc4c44$$aJäkel, Oliver$$b6$$udkfz
000298917 7001_ $$aFrank, Martin$$b7
000298917 7001_ $$0P:(DE-He78)7b7d3650efd9aeb0aff30e7fbed3ecac$$aGiske, Kristina$$b8$$eLast author$$udkfz
000298917 773__ $$0PERI:(DE-600)2731996-9$$a10.1080/21681163.2025.2455752$$gVol. 13, no. 1, p. 2455752$$n1$$p2455752$$tComputer methods in biomechanics and biomedical engineering$$v13$$x2168-1163$$y2025
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