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用于图像引导自适应放射治疗的约束非刚性配准

Constrained non-rigid registration for use in image-guided adaptive radiotherapy.

作者信息

Greene W H, Chelikani S, Purushothaman K, Knisely J P S, Chen Z, Papademetris X, Staib L H, Duncan J S

机构信息

Department of Biomedical Engineering, Yale University, New Haven, CT 06520, USA.

出版信息

Med Image Anal. 2009 Oct;13(5):809-17. doi: 10.1016/j.media.2009.07.004. Epub 2009 Jul 16.

Abstract

A constrained non-rigid registration (CNRR) algorithm for use in prostate image-guided adaptive radiotherapy is presented in a coherent mathematical framework. The registration algorithm is based on a global rigid transformation combined with a series of local injective non-rigid multi-resolution cubic B-spline Free Form Deformation (FFD) transformations. The control points of the FFD are used to non-rigidly constrain the transformation to the prostate, rectum, and bladder. As well, the control points are used to rigidly constrain the transformation to the estimated position of the pelvis, left femur, and right femur. The algorithm was tested with both 3D conformal radiotherapy (3DCRT) and intensity-modulated radiotherapy (IMRT) dose plan data sets. The 3DCRT dose plan set consisted of 10 fan-beam CT (FBCT) treatment-day images acquired from four different patients. The IMRT dose plan set consisted of 32 cone-beam CT (CBCT) treatment-day images acquired from 4 different patients. The CNRR was tested with different combinations of anatomical constraints and each test significantly outperformed both rigid and non-rigid registration at aligning constrained bones and critical organs. The CNRR results were used to adapt the dose plans to account for patient positioning errors as well as inter-day bone motion and intrinsic organ deformation. Each adapted dose plan improved performance by lowering radiation distribution to the rectum and bladder while increasing or maintaining radiation distribution to the prostate.

摘要

在一个连贯的数学框架中,提出了一种用于前列腺图像引导自适应放疗的约束非刚性配准(CNRR)算法。该配准算法基于全局刚性变换与一系列局部单射非刚性多分辨率三次B样条自由形式变形(FFD)变换相结合。FFD的控制点用于非刚性地将变换约束到前列腺、直肠和膀胱。同样,控制点用于将变换刚性地约束到骨盆、左股骨和右股骨的估计位置。该算法用三维适形放疗(3DCRT)和调强放疗(IMRT)剂量计划数据集进行了测试。3DCRT剂量计划集由从四名不同患者获取的10张扇形束CT(FBCT)治疗日图像组成。IMRT剂量计划集由从4名不同患者获取的32张锥形束CT(CBCT)治疗日图像组成。对CNRR进行了不同解剖约束组合的测试,并且每次测试在对齐受约束骨骼和关键器官方面均显著优于刚性和非刚性配准。CNRR结果用于调整剂量计划,以考虑患者定位误差以及日间骨骼运动和内在器官变形。每个调整后的剂量计划通过降低对直肠和膀胱的辐射分布,同时增加或保持对前列腺的辐射分布来提高性能。

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