Application and validation of registration framework for real-time atlas guided biopsy

R. Narayanan, D. Shen, C. Davatzikos, E. Crawford, A. Barqawi, P. Werahera, D. Kumar, J. Suri
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引用次数: 0

Abstract

It is widely established that prostate cancer is a multifocal disease and cancerous lesions are not uniformly distributed within the gland. Current imaging methods cannot detect prostate cancer with sufficient sensitivity and specificity, especially localized cancers. A cancer atlas was previously demonstrated. However the atlas must be registered with a patient's ultrasound image in a clinical procedure. Here we present the fast registration of this atlas in a clinical setting so as to map cancer likelihoods in addition to optimized biopsy locations from the atlas space to the subject to maximize cancer detection accuracy. The registration was validated on 158 subjects with cancers annotated and the detection rate was found to be 84.81% and 89.87% for optimized 7 and 12 core biopsy schemes respectively. It took less than 8 seconds for the entire registration procedure.
实时图谱引导活检配准框架的应用与验证
人们普遍认为前列腺癌是一种多灶性疾病,癌灶在腺体内的分布并不均匀。目前的成像方法对前列腺癌的检测还没有足够的灵敏度和特异性,尤其是局部癌。癌症图谱先前已被证实。然而,在临床程序中,该图谱必须与患者的超声图像注册。在这里,我们展示了该图谱在临床环境中的快速注册,以便绘制癌症的可能性,以及从图谱空间到受试者的优化活检位置,以最大限度地提高癌症检测的准确性。对158例标注癌症的受试者进行注册验证,优化的7芯活检方案和12芯活检方案的检出率分别为84.81%和89.87%。整个注册过程耗时不到8秒。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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