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A Constrained Non-rigid Registration Algorithm for Use in Prostate Image-Guided Radiotherapy

机译:一种约束非刚性配准算法,用于前列腺影像引导放疗

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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.
机译:本文提出了一种约束非刚性配准(CNRR)算法,用于更新前列腺外束图像引导的放射治疗计划。所开发的算法基于多分辨率立方B样条FFD变换,并已使用3D CT图像从3组CT图像中进行了测试和验证,这些图像来自于在不同治疗日从4位不同患者那里获得的10组真实患者数据。可以将注册限制为前列腺,直肠,膀胱,骨盆,左股骨和右股骨的任何组合。使用5种不同的约束组合对CNRR进行了测试,并且在对齐受约束的骨骼和关键器官时,每个测试均明显优于刚性和非刚性配准。然后使用CNRR更新治疗计划,以解决关节运动,僵硬的骨骼运动和非刚性器官变形的问题。通过增加对前列腺的放射剂量并降低对直肠和膀胱的放射剂量,每个更新的治疗计划均优于原始治疗计划。

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