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

  • Sheng Xu
  • , Jochen Kruecker
  • , Peter Guion
  • , Neil Glossop
  • , Ziv Neeman
  • , Peter Choyke
  • , Anurag K. Singh
  • , Bradford J. Wood
  • Koninklijke Philips N.V.
  • National Institutes of Health
  • Traxtal Inc.

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

64 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationMedical Image Computing and Computer-Assisted Intervention - 10th International Conference, Proceedings
PublisherSpringer Verlag
Pages128-135
Number of pages8
EditionPART 1
ISBN (Print)9783540757566
DOIs
StatePublished - 2007
Event10th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2007 - Brisbane, Australia
Duration: Oct 29 2007Nov 2 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume4791 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2007
Country/TerritoryAustralia
CityBrisbane
Period10/29/0711/2/07

Keywords

  • Image registration
  • Motion compensation
  • Prostate biopsy

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