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Related Experiment Video

Updated: Jun 8, 2026

Use of MRI-ultrasound Fusion to Achieve Targeted Prostate Biopsy
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Use of MRI-ultrasound Fusion to Achieve Targeted Prostate Biopsy

Published on: April 9, 2019

Incremental shape statistics learning for prostate tracking in TRUS.

Pingkun Yan1, Jochen Kruecker

  • 1Philips Research North America, 345 Scarborough Road, Briarcliff Manor, NY 10510, USA.

Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
|October 1, 2010
PubMed
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This study introduces a novel method for automatically outlining the prostate boundary in transrectal ultrasound (TRUS) images. The approach enhances accuracy and robustness for image-guided prostate interventions.

Area of Science:

  • Medical Imaging
  • Computational Anatomy
  • Ultrasound Technology

Background:

  • Accurate prostate boundary delineation in transrectal ultrasound (TRUS) is crucial for image-guided prostate interventions.
  • Significant variations in prostate shape across the gland present a major challenge for automated delineation.

Purpose of the Study:

  • To develop a novel, robust, and accurate method for automatic prostate boundary delineation in TRUS.
  • To address the challenge of prostate shape variability using patient-specific local shape statistics.

Main Methods:

  • Proposed an incremental learning method for patient-specific local shape statistics.
  • Integrated learned shape statistics into a modified sequential inference model for boundary tracking.
  • Ensured method efficiency for real-time interventional applications.

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Three-Dimensional Shape Modeling and Analysis of Brain Structures
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Three-Dimensional Shape Modeling and Analysis of Brain Structures

Published on: November 14, 2019

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Last Updated: Jun 8, 2026

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

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Published on: April 9, 2019

A Cognitive Fusion-guided Prostate Biopsy Using Multiparametric Magnetic Resonance Imaging and Transrectal Ultrasound
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A Cognitive Fusion-guided Prostate Biopsy Using Multiparametric Magnetic Resonance Imaging and Transrectal Ultrasound

Published on: March 21, 2025

Three-Dimensional Shape Modeling and Analysis of Brain Structures
05:33

Three-Dimensional Shape Modeling and Analysis of Brain Structures

Published on: November 14, 2019

Main Results:

  • The proposed method demonstrated superior robustness and accuracy compared to traditional active shape models.
  • Achieved accurate delineation of the prostate boundary across the entire gland.
  • The incremental learning approach proved fast and memory-efficient.

Conclusions:

  • The developed method offers a significant advancement in automatic prostate boundary delineation for TRUS.
  • Patient-specific local shape statistics improve accuracy and robustness in challenging cases.
  • The method's efficiency makes it suitable for real-time clinical applications.