Chao Ming, Xie Yaoqin, Xing Lei
Department of Radiation Oncology, Stanford University School of Medicine, 875 Blake Wilbur Drive, Stanford, CA 94305-5847, USA.
Phys Med Biol. 2008 Sep 7;53(17):4533-42. doi: 10.1088/0031-9155/53/17/005. Epub 2008 Aug 1.
The purpose of this work is to develop an effective technique to automatically propagate contours from planning CT to cone beam CT (CBCT) to facilitate CBCT-guided prostate adaptive radiation therapy. Different from other disease sites, such as the lungs, the contour mapping here is complicated by two factors: (i) the physical one-to-one correspondence may not exist due to the insertion or removal of some image contents within the region of interest (ROI); and (ii) reduced contrast to noise ratio of the CBCT images due to increased scatter. To overcome these issues, we investigate a strategy of excluding the regions with variable contents by a careful design of a narrow shell signifying the contour of an ROI. For rectum, for example, a narrow shell with the delineated contours as its interior surface was constructed to avoid the adverse influence of the day-to-day content change inside the rectum on the contour mapping. The corresponding contours in the CBCT were found by warping the narrow shell through the use of BSpline deformable model. Both digital phantom experiments and clinical case testing were carried out to validate the proposed ROI mapping method. It was found that the approach was able to reliably warp the constructed narrow band with an accuracy better than 1.3 mm. For all five clinical cases enrolled in this study, the method yielded satisfactory results even when there were significant rectal content changes between the planning CT and CBCT scans. The overlapped area of the auto-mapped contours over 90% to the manually drawn contours is readily achievable. The proposed approach permits us to take advantage of the regional calculation algorithm yet avoiding the nuisance of rectum/bladder filling and provide a useful tool for adaptive radiotherapy of prostate in the future.
这项工作的目的是开发一种有效的技术,将轮廓从计划CT自动传播到锥形束CT(CBCT),以促进CBCT引导的前列腺自适应放射治疗。与其他疾病部位(如肺部)不同,此处的轮廓映射因两个因素而变得复杂:(i)由于感兴趣区域(ROI)内某些图像内容的插入或移除,可能不存在物理上的一一对应关系;(ii)由于散射增加,CBCT图像的对比度噪声比降低。为了克服这些问题,我们研究了一种策略,即通过精心设计一个表示ROI轮廓的窄壳来排除内容可变的区域。例如,对于直肠,构建了一个以内表面为划定轮廓的窄壳,以避免直肠内日常内容变化对轮廓映射的不利影响。通过使用B样条可变形模型对窄壳进行变形,找到了CBCT中的相应轮廓。进行了数字体模实验和临床病例测试,以验证所提出的ROI映射方法。结果发现,该方法能够可靠地使构建的窄带变形,精度优于1.3毫米。对于本研究纳入的所有五个临床病例,即使在计划CT和CBCT扫描之间直肠内容有显著变化时,该方法也产生了令人满意的结果。自动映射轮廓与手动绘制轮廓的重叠面积很容易达到90%以上。所提出的方法使我们能够利用区域计算算法,同时避免直肠/膀胱充盈的麻烦,并为未来前列腺的自适应放射治疗提供了一个有用的工具。