CT引导下肺肿瘤冷冻消融术前MRI和术中CT的非刚性配准以改善肺肿瘤的显著性

N. Hata, S. Tatli, A. Yamada, O. Olubiyi, S. Silverman
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摘要

为了提高CT引导下冷冻消融过程中肺肿瘤的显著性,我们使用非刚性图像配准来融合术前MR图像和术中CT图像,并确定在手术的计划、靶向和监测阶段拍摄的哪组CT图像提供了最准确和最快的配准。在10例经皮CT引导下的冷冻消融手术中,采用基于强度的仿射和b样条变换方法,使用非刚性配准技术将MR图像与术中CT图像进行配准。通过测量目标配准误差(Target registration Error, TRE)、骰子相似系数(Dice Similarity Coefficient, DSC)和豪斯多夫距离(Hausdorff Distance, HD)定义的配准精度以及完成配准的时间来评估配准的性能。采用最小显著差异(LSD)法进行事后分析,比较计划阶段、目标阶段和监测阶段的时间和准确性。登记的平均TRE范围为6.26(计划)至10.31(监测)mm。平均DSC范围为83.86(监测)至89.22(计划)。平均HD值从7.74(目标)到12.20(监测)不等。平均配准时间从68.67 s(监测)到92.02 s(计划)不等。使用HD,无论是计划阶段还是目标阶段的配准都比监测阶段更准确。使用监控映像比使用规划映像的配准速度更快。非刚性配准技术可用于融合程序前MR图像和程序内CT图像,这些图像的性能取决于在程序的不同阶段拍摄的CT图像。因此,根据ct引导消融过程的不同阶段,在设定精度和速度的期望时应谨慎。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Nonrigid Registration of Pre-Procedural MRI and Intra-Procedural CT in CT-Guided Cryoablation of Lung Tumors to Improve Lung Tumor Conspicuity
To improve lung tumor conspicuity during CT-guided cryoablations, we used nonrigid image registrations to fuse pre-procedural MR images and intra-procedural CT images and determined which set of CT images taken at planning, targeting, and monitoring phases of the procedure provided the most accurate and fastest registrations. In 10 percutaneous CT-guided cryoablation procedures, MR images were registered with intra-procedural CT images using a nonrigid registration technique using an intensity-based approach with affine and B-Spline transformations. The time to complete the registration as well as the accuracy of the registration defined by Target Registration Error (TRE), Dice Similarity Coefficient (DSC), and Hausdorff Distance (HD) were measured to assess the performance of the registration. The least significant difference (LSD) method was used as a post-hoc analysis for comparing time and accuracy among planning, targeting, and monitoring phases. The mean TRE of the registration ranged from 6.26 (planning) to 10.31 (monitoring) mm. The mean DSC ranged from 83.86 (monitoring) to 89.22 (planning). The mean HD values ranged from 7.74 (targeting) to 12.20 (monitoring). Mean registration time ranged from 68.67 (monitoring) to 92.02 (planning) s. Using HD, registrations in either the planning or targeting phase were more accurate than in the monitoring phase. The registration was faster using monitoring images than using planning images. Nonrigid registration techniques can be used to fuse pre-procedural MR images with intra-procedural CT images with varying performance depending on the CT images taken at the different phases of the procedure. Therefore, caution should be taken in setting expectations on accuracies and speeds of registration depending on the phases of the CT-guided ablation procedures.
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