一种用于前列腺图像引导放射治疗的约束非刚性配准算法。
A constrained non-rigid registration algorithm for use in prostate image-guided radiotherapy.
作者信息
Greene W H, Chelikani S, Purushothaman K, Chen Z, Knisely J P S, Staib L H, Papademetris X, Duncan J
机构信息
Department of Biomedical Engineering, Yale University, New Haven, CT, USA.
出版信息
Med Image Comput Comput Assist Interv. 2008;11(Pt 1):780-8. doi: 10.1007/978-3-540-85988-8_93.
A constrained non-rigid registration (CNRR) algorithm for use in updating prostate external beam image-guided radiotherapy treatment plans is presented in this paper. The developed algorithm is based on a multi-resolution cubic B-spline FFD transformation and has been tested and verified using 3D CT images from 10 sets of real patient data acquired from 4 different patients on different treatment days. The registration can be constrained to any combination of the prostate, rectum, bladder, pelvis, left femur, and right femur. The CNRR was tested with 5 different combinations of constraints and each test significantly outperformed both rigid and non-rigid registration at aligning constrained bones and critical organs. The CNRR was then used to update the treatment plans to account for articulated, rigid bone motion and non-rigid organ deformation. Each updated treatment plan outperformed the original treatment plan by increasing radiation dosage to the prostate and lowering radiation dosage to the rectum and bladder.
本文提出了一种用于更新前列腺调强适形放射治疗计划的约束非刚性配准（CNRR）算法。所开发的算法基于多分辨率三次B样条自由变形变换，并已使用从4名不同患者在不同治疗日获取的10组真实患者数据的3D CT图像进行了测试和验证。配准可以约束到前列腺、直肠、膀胱、骨盆、左股骨和右股骨的任意组合。对CNRR进行了5种不同约束组合的测试，并且在对齐受约束骨骼和关键器官方面，每次测试的表现均显著优于刚性和非刚性配准。然后使用CNRR更新治疗计划，以考虑关节运动、刚性骨运动和非刚性器官变形。每个更新后的治疗计划通过增加前列腺的辐射剂量以及降低直肠和膀胱的辐射剂量，其表现均优于原始治疗计划。
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