Closed-loop control in fused MR-TRUS image-guided prostate biopsy

被引:0
|
作者
Xu, Sheng [1 ]
Kruecker, Jochen [1 ]
Guion, Peter [2 ]
Glossop, Neil [3 ]
Neeman, Ziv [2 ]
Choyke, Peter [2 ]
Singh, Anurag K. [2 ]
Wood, Bradford J. [2 ]
机构
[1] Philips Res North Amer, Briarcliff Manor, NY 10510 USA
[2] NIH, Bethesda, MD 20892 USA
[3] Traxtal Inc, Toronto, ON M5V 2J1, Canada
关键词
motion compensation; prostate biopsy; image registration;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
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.
引用
收藏
页码:128 / +
页数:2
相关论文
共 50 条
  • [1] 3D Non-Rigid Surface-Based MR-TRUS Registration for Image-Guided Prostate Biopsy
    Sun, Yue
    Qiu, Wu
    Romagnoli, Cesare
    Fenster, Aaron
    MEDICAL IMAGING 2014: IMAGE-GUIDED PROCEDURES, ROBOTIC INTERVENTIONS, AND MODELING, 2014, 9036
  • [2] Non-rigid MR-TRUS image registration for image-guided prostate biopsy using correlation ratio-based mutual information
    Gong, Lun
    Wang, Haifeng
    Peng, Chengtao
    Dai, Yakang
    Ding, Min
    Sun, Yinghao
    Yang, Xiaodong
    Zheng, Jian
    BIOMEDICAL ENGINEERING ONLINE, 2017, 16
  • [3] Non-rigid MR-TRUS image registration for image-guided prostate biopsy using correlation ratio-based mutual information
    Lun Gong
    Haifeng Wang
    Chengtao Peng
    Yakang Dai
    Min Ding
    Yinghao Sun
    Xiaodong Yang
    Jian Zheng
    BioMedical Engineering OnLine, 16
  • [4] Sagittal alignment in an MR-TRUS fusion biopsy using only the prostate contour in the axial image
    Riki Igarasihi
    Norihiro Koizumi
    Yu Nishiyama
    Kyohei Tomita
    Yuka Shigenari
    Sunao Shoji
    ROBOMECH Journal, 7
  • [5] Sagittal alignment in an MR-TRUS fusion biopsy using only the prostate contour in the axial image
    Igarasihi, Riki
    Koizumi, Norihiro
    Nishiyama, Yu
    Tomita, Kyohei
    Shigenari, Yuka
    Shoji, Sunao
    ROBOMECH JOURNAL, 2020, 7 (01):
  • [6] A MR-TRUS Registration Method for Ultrasound-Guided Prostate Interventions
    Yang, Xiaofeng
    Rossi, Peter
    Mao, Hui
    Jani, Ashesh B.
    Ogunleye, Tomi
    Curran, Walter J.
    Liu, Tian
    MEDICAL IMAGING 2015: IMAGE-GUIDED PROCEDURES, ROBOTIC INTERVENTIONS, AND MODELING, 2015, 9415
  • [7] Learning Non-rigid Deformations for Robust, Constrained Point-based Registration in Image-Guided MR-TRUS Prostate Intervention
    Onofrey, John A.
    Staib, Lawrence H.
    Sarkar, Saradwata
    Venkataraman, Rajesh
    Nawaf, Cayce B.
    Sprenkle, Preston C.
    Papademetris, Xenophon
    MEDICAL IMAGE ANALYSIS, 2017, 39 : 29 - 43
  • [8] Weakly Supervised MR-TRUS Image Synthesis for Brachytherapy of Prostate Cancer
    Pang, Yunkui
    Chen, Xu
    Huang, Yunzhi
    Yap, Pew-Thian
    Lian, Jun
    MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION, MICCAI 2022, PT VI, 2022, 13436 : 485 - 494
  • [9] PROSTATE CANCER MR-TRUS fusion biopsy-defining a new standard
    Klein, Eric A.
    NATURE REVIEWS CLINICAL ONCOLOGY, 2015, 12 (05) : 253 - U93
  • [10] Image-guided Prostate biopsy
    Hadaschik, B.
    AKTUELLE UROLOGIE, 2012, 43 (05) : 279 - 280