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 Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Correction: Analgosedation in interventional radiology.

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin·2026
Same author

Bi-level Multi-criteria Optimization for Risk-informed Radiotherapy.

Physics in medicine and biology·2026
Same author

Correction: Analgosedation in interventional radiology.

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin·2026
Same author

Analgosedation in interventional radiology.

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin·2026
Same author

Correction: Occupational Prenatal Radiation Exposure and Occupational Safety: Position Paper for Pregnant and breastfeeding Personnel in Interventional Procedures with Ionizing Radiation.

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin·2026
Same author

Trading robustness: A scenario-free approach to robust multi-criteria optimization for treatment planning.

Medical physics·2026

Related Experiment Video

Updated: Apr 14, 2026

Thermal Ablation for the Treatment of Abdominal Tumors
07:16

Thermal Ablation for the Treatment of Abdominal Tumors

Published on: March 7, 2011

35.3K

Interactive multi-criteria planning for radiofrequency ablation.

Christian Schumann1, Christian Rieder, Sabrina Haase

  • 1Fraunhofer MEVIS, Fraunhofer-Gesellschaft, Universitätsallee 29, 28359, Bremen, Germany, christian.schumann@mevis.fraunhofer.de.

International Journal of Computer Assisted Radiology and Surgery
|April 24, 2015
PubMed
Summary
This summary is machine-generated.

This study introduces an optimized planning method for image-guided radiofrequency ablation (RFA) of liver tumors. The new approach assists clinicians in identifying effective treatment strategies by automatically determining optimal needle trajectories.

More Related Videos

Reduced Procedure Time and Variability with Active Esophageal Cooling During Radiofrequency Ablation for Atrial Fibrillation
04:58

Reduced Procedure Time and Variability with Active Esophageal Cooling During Radiofrequency Ablation for Atrial Fibrillation

Published on: August 25, 2022

2.7K
Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant
05:18

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant

Published on: October 6, 2023

2.1K

Related Experiment Videos

Last Updated: Apr 14, 2026

Thermal Ablation for the Treatment of Abdominal Tumors
07:16

Thermal Ablation for the Treatment of Abdominal Tumors

Published on: March 7, 2011

35.3K
Reduced Procedure Time and Variability with Active Esophageal Cooling During Radiofrequency Ablation for Atrial Fibrillation
04:58

Reduced Procedure Time and Variability with Active Esophageal Cooling During Radiofrequency Ablation for Atrial Fibrillation

Published on: August 25, 2022

2.7K
Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant
05:18

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant

Published on: October 6, 2023

2.1K

Area of Science:

  • Medical Imaging
  • Interventional Radiology
  • Computational Medicine

Background:

  • Image-guided radiofrequency ablation (RFA) is a key minimally invasive treatment for liver malignancies.
  • Current RFA planning relies on manual trajectory definition from 2D slices, demanding significant expertise and cognitive load.
  • Optimizing access path planning is crucial for improving RFA efficacy and safety.

Purpose of the Study:

  • To develop and evaluate an automated method for determining optimal access paths for image-guided RFA.
  • To enhance the clinical workflow for planning radiofrequency ablation procedures.
  • To provide clinicians with an intuitive tool for exploring therapeutic strategies.

Main Methods:

  • An image processing and numerical optimization approach for access path determination.
  • Utilized fast GPU-based simulation for heat distribution analysis, including blood vessel cooling effects.
  • Developed an interactive user interface for exploring optimization outcomes.

Main Results:

  • Integrated proposed methods into a clinical software assistant.
  • A retrospective study demonstrated the system's ability to propose clinically relevant trajectories.
  • The interactive optimization approach proved suitable for identifying meaningful therapy strategies.

Conclusions:

  • Presented a novel method for planning image-guided RFA using interactive, optimization-based access path determination.
  • Initial retrospective findings suggest the method can enhance traditional RFA planning.
  • The developed system aids in selecting optimal trajectories for liver tumor ablation.