Multimodality Non-rigid Image Registration for Planning, Targeting and Monitoring During CT-Guided Percutaneous Liver Tumor Cryoablation
Multimodality Non-rigid Image Registration for Planning, Targeting and Monitoring During CT-Guided Percutaneous Liver Tumor Cryoablation
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DOI：
10.1016/j.acra.2010.06.004
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发表时间：
2010-11-01
影响因子：
4.8
通讯作者：
Hata, Nobuhiko
中科院分区：
文献类型：
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作者：
Elhawary, Haytham;Oguro, Sota;Hata, Nobuhiko
基本原理和目的：本研究的目的是在术前对比增强磁共振(MR)图像和术中非增强CT图像之间建立非刚性图像配准，以增强CT成像引导的肝肿瘤冷冻消融过程中肿瘤的可视化和定位。材料和方法：在不同的预处理步骤和算法参数下对非刚性配准技术进行评估，并与标准的刚性配准方法进行比较。采用双侧t检验比较骰子相似系数、目标配准误差、第95百分位Hausdorff距离和总配准时间(分钟)。将整个配准方法应用于5例CT引导下的肝脏冷冻消融手术，术中CT数据直接从CT扫描仪传输，并对配准精度和配准时间进行了评估。结果：选择的最佳配准参数为：断层厚度5 mm，视野裁剪至原始大小的66%，手动分割肝脏，5×5×5的B-Spline控制网格，50,000像素的空间采样。测量了平均第95百分位数的Hausdorff距离为3.3 mm(比刚性配准提高2.5倍，P<；0.05)，平均骰子相似系数为0.97(增加13%)，以及平均目标配准误差为4.1 mm(减少2.7倍)。在冷冻消融过程中，术前MR与术中计划CT成像之间的对准时间平均为10.6分钟，MR TO靶向CT图像的对准时间为4分钟，MR TO监测CT图像的对准时间为4.3分钟。平均配准精度为
Rationale and Objectives: The aim of this study was to develop non-rigid image registration between preprocedure contrast-enhanced magnetic resonance (MR) images and intraprocedure unenhanced computed tomographic (CT) images, to enhance tumor visualization and localization during CT imaging guided liver tumor cryoablation procedures.Materials and Methods: A non-rigid registration technique was evaluated with different preprocessing steps and algorithm parameters and compared to a standard rigid registration approach. The Dice similarity coefficient, target registration error, 95th-percentile Hausdorff distance, and total registration time (minutes) were compared using a two-sided Student's t test. The entire registration method was then applied during five CT imaging guided liver cryoablation cases with the intraprocedural CT data transmitted directly from the CT scanner, with both accuracy and registration time evaluated.Results: Selected optimal parameters for registration were a section thickness of 5 mm, cropping the field of view to 66% of its original size, manual segmentation of the liver, B-spline control grid of 5 x 5 x 5, and spatial sampling of 50,000 pixels. A mean 95th-percentile Hausdorff distance of 3.3 mm (a 2.5 times improvement compared to rigid registration, P < .05), a mean Dice similarity coefficient of 0.97 (a 13% increase), and a mean target registration error of 4.1 mm (a 2.7 times reduction) were measured. During the cryoablation procedure, registration between the preprocedure MR and the planning intraprocedure CT imaging took a mean time of 10.6 minutes, MR to targeting CT image took 4 minutes, and MR to monitoring CT imaging took 4.3 minutes. Mean registration accuracy was