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Cited by 295

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Real-time MRI-TRUS fusion for guidance of targeted prostate biopsies

Open access
Xu, Sheng, Kruecker, Jochen, Turkbey, Baris, Glossop, Neil, Singh, Anurag K., Choyke, Peter, Pinto, Peter, Wood, Bradford J.·2008·Computer Aided Surgery

Abstract

Targeted prostate biopsy is challenging because no currently established imaging modality is both accurate for prostate cancer diagnosis and cost-effective for real-time procedure guidance. A system that fuses real-time transrectal ultrasound images with previously acquired endorectal coil MRI images for prostate biopsy guidance is presented here. The system uses electromagnetic tracking and intraoperative image registration to superimpose the MRI data on the ultrasound image. Prostate motion is tracked and compensated for without the need for fiducial markers. The accuracy of the system in phantom studies was shown to be 2.4 +/- 1.2 mm. The fusion system has been used in more than 20 patients to guide biopsies with almost no modification of the conventional protocol. Retrospective clinical evaluation suggests that clinically acceptable spatial accuracy can be achieved.

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Metadata

Authors
Xu, S., Kruecker, J., Turkbey, B., Glossop, N., Singh, A. K., Choyke, P., Pinto, P., & Wood, B. J.
Venue
Computer Aided Surgery
Published
2008-01
Volume
13
Issue
5
Pages
255-264
ISSN
  • 1092-9088 (ISSN-L)
  • 1097-0150
OpenAlex
W2021063134
Cited by
295
References
1
FWCI
24.82
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Real-time MRI-TRUS fusion for guidance of targeted prostate biopsies. https://app.cochat.ai/papers/10.3109/10929080802364645
The paper
Xu, S., Kruecker, J., Turkbey, B., Glossop, N., Singh, A. K., Choyke, P., Pinto, P., & Wood, B. J. (2008). Real-time MRI-TRUS fusion for guidance of targeted prostate biopsies. Computer Aided Surgery. https://doi.org/10.3109/10929080802364645

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.