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Realtime TRUS/MRI Fusion Targeted-Biopsy for Prostate Cancer: A Clinical Demonstration of Increased Positive Biopsy Rates

机译:实时TRUS / MRI融合靶向活检术治疗前列腺癌:阳性活检率上升的临床证明

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In this paper, a system for fusion of realtime transrectal ultrasound (TRUS) with pre-acquired 3D images of the prostate is presented with a clinical demonstration on a cohort of 101 patients with suspicion of prostate cancer. Electromagnetically tracked biopsy guides for endocavity ultrasound transducers were calibrated and used to fuse MRI-based suspicious lesion locations with ultrasound image coordinates. The prostate shape is segmented from MRI in a semi-automated fashion via a model- based approach, and intraoperative image registration is performed be tween MR and ultrasound image space to superimpose target fiducials markers on the ultrasound image. In order to align both modalities, a surface model is automatically extracted from 2D swept TRUS images using a partial active shape model, utilizing image features and prior statistics. An automatic prostate motion compensation algorithm can be triggered as needed. The results were used to display live TRUS images fused with spatially corresponding realtime multiplanar reconstructions (MPRs) of the MR image volume. In this study, all patients were scanned with 3T MRI and TRUS for biopsy. Clinical results show significant improvement of target visualization and of positive detection rates during TRUS-guided biopsies. It also demonstrates the feasibility of realtime MR/TRUS image fusion for out-of-gantry procedures.
机译:在本文中,提出了一种将实时直肠超声(TRUS)与预先获取的前列腺3D图像融合的系统,并对101名怀疑患有前列腺癌的患者进行了临床演示。校准了用于腔内超声换能器的电磁跟踪活检指南,并用于将基于MRI的可疑病变位置与超声图像坐标融合在一起。通过基于模型的方法以半自动方式从MRI中分割出前列腺的形状,并在MR和超声图像空间之间执行术中图像配准,以将目标基准标记叠加在超声图像上。为了对齐这两种模态,使用图像特征和先验统计信息,使用部分活动形状模型从2D扫掠TRUS图像中自动提取表面模型。可以根据需要触发自动前列腺运动补偿算法。结果用于显示实时TRUS图像,并与MR图像体积的空间对应的实时多平面重建(MPR)融合。在这项研究中,所有患者均经过3T MRI和TRUS扫描以进行活检。临床结果显示,在TRUS引导的活检过程中,目标可视化和阳性检出率显着提高。它还证明了针对门外手术的实时MR / TRUS图像融合的可行性。

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