Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Video

Updated: Jun 6, 2026

Evaluating Targeting Accuracy in the Focal Plane for an Ultrasound-guided High-intensity Focused Ultrasound Phased-array System
08:08

Evaluating Targeting Accuracy in the Focal Plane for an Ultrasound-guided High-intensity Focused Ultrasound Phased-array System

Published on: March 6, 2019

Targeting error simulator for image-guided prostate needle placement.

Andras Lasso1, Shachar Avni, Gabor Fichtinger

  • 1School of Computing, Queen's University, Kingston, Canada K7L3N6. lasso@cs.queensu.ca

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|November 25, 2010
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

SDFStent: Real-time interactive virtual stenting via SDF deformation fields.

ArXiv·2026
Same author

Current validation practice undermines surgical AI development.

ArXiv·2026
Same author

Explainable transfer learning ensemble AI model for lung ultrasound pneumothorax detection with expert benchmark.

Scandinavian journal of trauma, resuscitation and emergency medicine·2026
Same author

Advancing Prosthetic Care Access on the Thailand-Burma Border Through Open-Source Technology.

IEEE pulse·2026
Same author

Rapid Visualization of Valves and Myocardium Using Volume Rendering of 3D Cardiac MRI, 4D Cine, and 4D Flow Images.

Radiology. Cardiothoracic imaging·2026
Same author

Effect of Right Ventricular Outflow Tract Material Properties on Simulated Transcatheter Pulmonary Placement.

ArXiv·2026
Same journal

Analysis of End-Tidal CO2 Variability During Plateau Waves Episodes: An Information Theoretic Approach<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

AI and Tomosynthesis for Breast Cancer Molecular Subtyping: A step toward precision medicine<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Towards Sustainable Protein Recovery from Biological Waste: Assessing Polyethersulfone-based Microfiltration.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Analysis of the cardiovascular response to standardized polymicrobial peritonitis experimental model.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Automated Wrist Ultrasound Image Bone Enhancement and Segmentation Using Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

A Deep Learning approach for Depressive Symptoms assessment in Parkinson's disease patients using facial videos.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
See all related articles

This study introduces a novel prostate imaging simulator to generate realistic data for evaluating needle-based biopsy guidance. The simulator accurately models anatomical variations and deformations, enabling robust assessment of registration algorithms and reducing targeting errors in prostate cancer treatment.

Area of Science:

  • Medical Imaging
  • Computational Anatomy
  • Robotics in Medicine

Background:

  • Prostate cancer diagnosis and treatment rely on accurate image-guided needle placement.
  • Registration inaccuracies between pre-operative and intra-operative imaging lead to significant targeting errors.
  • Evaluating these errors requires extensive datasets with known ground truth, which are currently infeasible to obtain.

Purpose of the Study:

  • To develop a controllable simulation method for generating realistic prostate imaging data with known ground truth.
  • To enable robust evaluation and comparison of image registration algorithms for prostate interventions.
  • To reduce targeting errors in needle-based prostate cancer biopsy and therapy.

Main Methods:

  • Utilized statistical shape atlases for generating diverse and realistic prostate shapes.

More Related Videos

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

Related Experiment Videos

Last Updated: Jun 6, 2026

Evaluating Targeting Accuracy in the Focal Plane for an Ultrasound-guided High-intensity Focused Ultrasound Phased-array System
08:08

Evaluating Targeting Accuracy in the Focal Plane for an Ultrasound-guided High-intensity Focused Ultrasound Phased-array System

Published on: March 6, 2019

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

  • Employed finite element modeling to simulate high-fidelity prostate motion and deformation during needle placement.
  • Incorporated simulated segmentation errors by warping ground truth data to mimic clinical variability.
  • Computed expected target registration error (TRE) as a vector field.

    • Main Results:

    • The simulator was successfully configured to evaluate target registration error (TRE) for a surface-based rigid registration algorithm.
    • Simulation parameters were informed by clinical image measurements of segmentation error and deformation.
    • Full simulation of a test case was completed in under 3 minutes.
    • The simulator demonstrated independence from specific imaging modalities.

    Conclusions:

    • The developed simulator provides a controllable and efficient method for generating realistic prostate imaging data.
    • It enables rigorous testing, comparison, and optimization of segmentation and registration algorithms.
    • This tool has the potential to significantly improve the accuracy of image-guided prostate interventions.