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| 100 | 1 | _ | |a Walter, Alexandra |0 P:(DE-He78)4d81d9d214f814093f29c7e21473458b |b 0 |e First author |u dkfz |
| 245 | _ | _ | |a Accuracy 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 |
| 260 | _ | _ | |a Abingdon |c 2025 |b Taylor & Francis |
| 336 | 7 | _ | |a article |2 DRIVER |
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| 520 | _ | _ | |a Knowing 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. |
| 536 | _ | _ | |a 315 - Bildgebung und Radioonkologie (POF4-315) |0 G:(DE-HGF)POF4-315 |c POF4-315 |f POF IV |x 0 |
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| 700 | 1 | _ | |a Bauer, Cornelius |0 P:(DE-He78)4bd03d4309102cd33e3be66962e3506a |b 1 |e First author |
| 700 | 1 | _ | |a Yawson, Ama Katseena |0 P:(DE-He78)a53fbc29983d089b1254ac458b60227d |b 2 |u dkfz |
| 700 | 1 | _ | |a Hoegen-Saßmannshausen, Philipp |0 P:(DE-HGF)0 |b 3 |
| 700 | 1 | _ | |a Adeberg, Sebastian |b 4 |
| 700 | 1 | _ | |a Debus, Jürgen |0 P:(DE-He78)8714da4e45acfa36ce87c291443a9218 |b 5 |u dkfz |
| 700 | 1 | _ | |a Jäkel, Oliver |0 P:(DE-He78)440a3f62ea9ea5c63375308976fc4c44 |b 6 |u dkfz |
| 700 | 1 | _ | |a Frank, Martin |b 7 |
| 700 | 1 | _ | |a Giske, Kristina |0 P:(DE-He78)7b7d3650efd9aeb0aff30e7fbed3ecac |b 8 |e Last author |u dkfz |
| 773 | _ | _ | |a 10.1080/21681163.2025.2455752 |g Vol. 13, no. 1, p. 2455752 |0 PERI:(DE-600)2731996-9 |n 1 |p 2455752 |t Computer methods in biomechanics and biomedical engineering |v 13 |y 2025 |x 2168-1163 |
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