Closed-Loop Control in Fused MR-TRUS Image-Guided Prostate Biopsy

Closed-Loop Control in Fused MR-TRUS Image-Guided Prostate Biopsy
复制标题

融合 MR-TRUS 图像引导前列腺活检中的闭环控制

DOI:
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发表时间:
2007
期刊:
International Conference on Medical Image Computing and Computer-Assisted Intervention
影响因子:
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通讯作者:
B. Wood
B. Wood
中科院分区:
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文献类型:
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作者:
Sheng Xu;J. Kruecker;P. Guion;N. Glossop;Z. Neeman;P. Choyke;Anurag K. Singh;B. Wood

文献摘要

被引文献

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由于活检过程中前列腺的运动,用于靶向前列腺活检的多模态融合成像是困难的。提出了一种闭环控制机制来提高活检过程的有效性和安全性,其使用实时超声和空间跟踪作为反馈来调整术前3D图像(例如,MRI)与实时超声图像之间的配准。空间跟踪数据用于初始化术中超声图像与术前超声体积之间的基于图像的配准。使用2D扫描获得术前超声体积,并在活检程序之前手动配准到MRI数据集。在体模研究中,系统的精度为2.3 +/- 0.9 mm。十二个病人的研究结果表明,前列腺运动可以有效地补偿使用闭环控制。
Multi-modality fusion imaging for targeted prostate biopsy is difficult because of prostate motion during the biopsy procedure. A closed-loop control mechanism is proposed to improve the efficacy and safety of the biopsy procedure, which uses real-time ultrasound and spatial tracking as feedback to adjust the registration between a preoperative 3D image (e.g. MRI) and real-time ultrasound images. The spatial tracking data is used to initialize the image-based registration between intraoperative ultrasound images and a preoperative ultrasound volume. The preoperative ultrasound volume is obtained using a 2D sweep and manually registered to the MRI dataset before the biopsy procedure. The accuracy of the system is 2.3 +/- 0.9 mm in phantom studies. The results of twelve patient studies show that prostate motion can be effectively compensated using closed-loop control.