ArticleIEEE transactions on bio-medical engineering2020
Open Source Platform for Transperineal In-Bore MRI-Guided Targeted Prostate Biopsy.
Article in IEEE transactions on bio-medical engineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Clinical Efficacy of Neurorrhaphy in Anterolateral Thigh Flap Reconstruction for Tongue Cancer Defects: A Randomized Controlled Trial.Annals of surgical oncology · 2026Trial
- Clinical validation of a Novel Robotic Device for MR-Guided Prostate Biopsy: Initial Patient Experience.Journal of medical robotics research · 2026Article
- Image-Guided Adaptive Cryotherapy for Prostate Cancer Treatment.Annals of biomedical engineering · 2025Article
- Magnetic resonance imaging for computer-assisted device guidance in transperineal prostate biopsy and cryoablation.Translational andrology and urology · 2025Article
- SlicerROS2: A research and development module for image-guided robotic interventions.IEEE transactions on medical robotics and bionics · 2024Article
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Authors and funding
11 authors.
Funding
Abstract
objectiveAccurate biopsy sampling of the suspected lesions is critical for the diagnosis and clinical management of prostate cancer. Transperineal in-bore MRI-guided prostate biopsy (tpMRgBx) is a targeted biopsy technique that was shown to be safe, efficient, and accurate. Our goal was to develop an open source software platform to support evaluation, refinement, and translation of this biopsy approach.
methodsWe developed SliceTracker, a 3D Slicer extension to support tpMRgBx. We followed modular design of the implementation to enable customization of the interface and interchange of image segmentation and registration components to assess their effect on the processing time, precision, and accuracy of the biopsy needle placement. The platform and supporting documentation were developed to enable the use of software by an operator with minimal technical training to facilitate translation. Retrospective evaluation studied registration accuracy, effect of the prostate segmentation approach, and re-identification time of biopsy targets. Prospective evaluation focused on the total procedure time and biopsy targeting error (BTE).
resultsEvaluation utilized data from 73 retrospective and ten prospective tpMRgBx cases. Mean landmark registration error for retrospective evaluation was 1.88 ± 2.63 mm, and was not sensitive to the approach used for prostate gland segmentation. Prospectively, we observed target re-identification time of 4.60 ± 2.40 min and BTE of 2.40 ± 0.98 mm.
conclusionSliceTracker is modular and extensible open source platform for supporting image processing aspects of the tpMRgBx procedure. It has been successfully utilized to support clinical research procedures at our site.
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