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基于匹配的针道实现超声种子定位与 C 臂术中影像配准在前列腺近距离治疗中的应用。

Seed localization in ultrasound and registration to C-arm fluoroscopy using matched needle tracks for prostate brachytherapy.

机构信息

Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, BC, Canada.

出版信息

IEEE Trans Biomed Eng. 2012 Sep;59(9):2558-67. doi: 10.1109/TBME.2012.2206808. Epub 2012 Jun 29.

Abstract

We propose a novel fiducial-free approach for the registration of C-arm fluoroscopy to 3-D ultrasound images of prostate brachytherapy implants to enable dosimetry. The approach involves the reliable detection of a subset of radioactive seeds from 3-D ultrasound, and the use of needle tracks in both ultrasound and fluoroscopy for registration. Seed detection in ultrasound is achieved through template matching in 3-D radio frequency ultrasound signals, followed by thresholding and spatial filtering. The resulting subset of seeds is registered to the complete reconstruction of the brachytherapy implant from multiple C-arm fluoroscopy views. To compensate for the deformation caused by the ultrasound probe, simulated warping is applied to the seed cloud from fluoroscopy. The magnitude of the applied warping is optimized within the registration process. The registration is performed in two stages. First, the needle track projections from fluoroscopy and ultrasound are matched. Only the seeds in the matched needles are then used as fiducials for point-based registration. We report results from a physical phantom with a realistic implant (average postregistration seed distance of 1.6 ± 1.2 mm) and from five clinical patient datasets (average error: 2.8 ± 1.5 mm over 128 detected seeds). We conclude that it is feasible to use RF ultrasound data, template matching, and spatial filtering to detect a reliable subset of brachytherapy seeds from ultrasound to enable registration to fluoroscopy for dosimetry.

摘要

我们提出了一种新颖的无基准点方法,用于将 C 臂透视图像与前列腺近距离放射治疗植入物的 3D 超声图像进行配准,以实现剂量计算。该方法涉及从 3D 超声中可靠地检测出放射性种子的子集,并在超声和透视中使用针道进行配准。超声中的种子检测是通过在 3D 射频超声信号中进行模板匹配来实现的,然后进行阈值处理和空间滤波。从超声中检测到的种子子集与来自多个 C 臂透视视图的完整近距离放射治疗植入物重建进行配准。为了补偿超声探头引起的变形,模拟变形被应用于透视中的种子云。在配准过程中,优化了应用的变形量。配准分两个阶段进行。首先,将透视和超声的针道投影进行匹配。只有在匹配的针道中的种子才被用作基于点的配准的基准点。我们报告了来自具有真实植入物的物理体模(平均配准后种子距离为 1.6±1.2mm)和五个临床患者数据集的结果(平均误差:在 128 个检测到的种子上为 2.8±1.5mm)。我们得出结论,使用射频超声数据、模板匹配和空间滤波从超声中可靠地检测出放射性种子的子集,从而实现与透视的配准以进行剂量计算,这是可行的。

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