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A PET/CT Directed, 3D Ultrasound-Guided Biopsy System for Prostate Cancer

机译:PET / CT导向的3D超声引导下的活检系统

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Prostate cancer affects 1 in 6 men in the USA. Systematic transrectal ultrasound (TRUS)-guided biopsy is the standard method for a definitive diagnosis of prostate cancer. However, this "blind" biopsy approach can miss at least 20% of prostate cancers. In this study, we are developing a PET/CT directed, 3D ultrasound image-guided biopsy system for improved detection of prostate cancer. In order to plan biopsy in three dimensions, we developed an automatic segmentation method based wavelet transform for 3D TRUS images of the prostate. The segmentation was tested in five patients with a DICE overlap ratio of more than 91%. In order to incorporate PET/CT images into ultrasound-guided biopsy, we developed a nonrigid registration algorithm for TRUS and PET/CT images. The registration method has been tested in a prostate phantom with a target registration error (TRE) of less than 0.4 mm. The segmentation and registration methods are two key components of the multimodality molecular image-guided biopsy system.
机译:在美国,前列腺癌会影响六分之一的男性。系统性经直肠超声(TRUS)引导的活检是对前列腺癌进行明确诊断的标准方法。但是,这种“盲”活检方法可能会错过至少20%的前列腺癌。在这项研究中,我们正在开发PET / CT导向的3D超声图像引导的活检系统,以改善对前列腺癌的检测。为了在三个维度上计划活检,我们针对前列腺的3D TRUS图像开发了基于小波变换的自动分割方法。在5名DICE重叠率超过91%的患者中进行了分割测试。为了将PET / CT图像纳入超声引导的活检中,我们为TRUS和PET / CT图像开发了一种非刚性的配准算法。该配准方法已在前列腺体模中进行了测试,目标配准误差(TRE)小于0.4毫米。分割和配准方法是多模态分子图像引导活检系统的两个关键组成部分。

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