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Prostate positioning errors associated with two automatic registration based image guidance strategies

机译:与两种基于自动注册的图像导航策略相关的前列腺定位错误

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摘要

Daily image guidance for helical tomotherapy prostate patients is based on the registration of pretreatment megavoltage CT (MVCT) images and the original planning CT. The goal of registration, whether manual or automatic, is the overlap of the prostate; otherwise prostate misplacement may compromise the efficacy of treatment or lead to increased toxicity. A previous study demonstrated that without the aid of implanted fiducials, manual registration results in inaccurate prostate positioning. The objective of this work is to quantify prostate misplacement that results from automatic bone matching (BM) and image matching (IM) registration algorithms. 204 MVCT images from eight high‐risk tomotherapy prostate patients were incorporated into this retrospective study. BM and IM registration algorithms – based on maximization of mutual information of bony anatomy only and the entire image, respectively – were used to independently register MVCT images to their respective planning images. A correlation coefficient based algorithm that uses known planning CT contour information was used for automatic prostate localization in each MVCT image. Daily prostate misplacement was determined by repositioning as calculated from the BM and the IM algorithms. Mean (± SD) and maximum 3D prostate positioning errors were 3.7 ± 2.1mm and 11.8 mm for bone matching, and 4.6 ± 2.3mm and 11.5 mm for image matching. In terms of translational directions, IM would lead to prostate positioning error  ≥ 3mm in any of the LR, AP or SI directions in 62% of treatment fractions. The corresponding value for BM is 51%. The values for positioning errors  ≥ 5mm were 29% and 17% for IM and BM, respectively. This data suggests automatic daily image guidance for tomotherapy prostate patients should be based on bone matching instead of image matching.PACS number: 87.19.xj, 87.57.nj
机译:螺旋断层扫描前列腺患者的每日图像指导基于治疗前兆电压CT(MVCT)图像和原始计划CT的配准。登记的目的,无论是手动的还是自动的,都是前列腺的重叠。否则,前列腺错位可能会损害治疗效果或导致毒性增加。先前的研究表明,在没有植入基准的帮助下,手动配准会导致前列腺定位不正确。这项工作的目的是量化由自动骨匹配(BM)和图像匹配(IM)注册算法导致的前列腺错位。这项回顾性研究纳入了来自八名高危tomotherapy前列腺癌患者的204 MVCT图像。 BM和IM配准算法分别基于最大化骨骼解剖结构和整个图像的相互信息,用于将MVCT图像独立配准到其各自的计划图像。使用已知计划CT轮廓信息的基于相关系数的算法在每个MVCT图像中自动进行前列腺定位。每天的前列腺错位是通过根据BM和IM算法计算出的重新定位来确定的。骨匹配的平均(±SD)和最大3D前列腺定位误差为3.7±2.1mm和11.8 mm,图像匹配为4.6±2.3mm和11.5 mm。就平移方向而言,IM将导致62%的治疗分数在任何LR,AP或SI方向上导致前列腺定位误差≥3mm。 BM的相应值为51%。 IM和BM的定位误差≥5mm的值分别为29%和17%。该数据表明,用于tomotherapy前列腺患者的每日自动图像指导应基于骨骼匹配而不是图像匹配.PACS编号:87.19.xj,87.57.nj

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