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Related Experiment Video

Updated: Jun 13, 2026

Transperineal Prostate Biopsy Using a Cone-shaped Double-hole Method with Dual-plane Probe Guidance
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Transperineal Prostate Biopsy Using a Cone-shaped Double-hole Method with Dual-plane Probe Guidance

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Temporal-based needle segmentation algorithm for transrectal ultrasound prostate biopsy procedures.

Derek W Cool1, Lori Gardi, Cesare Romagnoli

  • 1Imaging Research Laboratories, Robarts Research Institute, University of Western Ontario, London, Ontario N6A 5K8, Canada. dcool@imaging.robarts.ca

Medical Physics
|May 7, 2010
PubMed
Summary
This summary is machine-generated.

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A new temporal-based algorithm accurately identifies prostate biopsy needle locations in transrectal ultrasound images. This improves biopsy accuracy and allows for real-time adjustments during procedures.

Area of Science:

  • Medical Imaging
  • Surgical Technology
  • Biomedical Engineering

Background:

  • Accurate localization of biopsy cores during prostate biopsies is crucial for ensuring adequate tissue sampling.
  • Current methods may lack precision in identifying the exact location of biopsy needles in real-time ultrasound images.
  • Automated needle segmentation can enhance procedural verification and allow for intraprocedure target modification.

Purpose of the Study:

  • To develop and validate a temporal-based algorithm for automatic segmentation of biopsy needles and their tips in transrectal ultrasound (TRUS) images.
  • To improve the accuracy of identifying biopsy core locations during prostate biopsy procedures.
  • To enable real-time verification and modification of biopsy targets.

Main Methods:

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Use of MRI-ultrasound Fusion to Achieve Targeted Prostate Biopsy
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Related Experiment Videos

Last Updated: Jun 13, 2026

Transperineal Prostate Biopsy Using a Cone-shaped Double-hole Method with Dual-plane Probe Guidance
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Published on: June 6, 2025

Use of MRI-ultrasound Fusion to Achieve Targeted Prostate Biopsy
09:11

Use of MRI-ultrasound Fusion to Achieve Targeted Prostate Biopsy

Published on: April 9, 2019

  • A temporal-based segmentation algorithm was developed, analyzing a series of TRUS images during needle insertion and withdrawal.
  • The algorithm uses Hough transform for needle axis segmentation and temporospectral analysis for needle tip identification.
  • Validation involved 108 TRUS biopsy sequences from 10 patients, comparing segmentation accuracy against other algorithms.

    • Main Results:

    • The algorithm achieved >99% accuracy in identifying the TRUS image at needle insertion.
    • Needle axis segmentation was accurate within 2.3 +/- 2.0 degrees and 0.48 +/- 0.42 mm.
    • Needle tip localization was 95% successful within <10 mm, with a mean error of 2.4 +/- 4.0 mm, significantly outperforming other methods (p < 0.001).

    Conclusions:

    • The temporal-based needle segmentation algorithm accurately identifies biopsy core locations in 2D TRUS images from clinical prostate biopsies.
    • The algorithm demonstrates superior accuracy in needle-tip localization compared to existing methods.
    • This technology enhances the reliability of prostate biopsy sampling.