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

Imaging Studies IV: Magnetic Resonance Imaging01:27

Imaging Studies IV: Magnetic Resonance Imaging

181
Introduction:Magnetic Resonance Imaging, or MRI, can include a specialized imaging technique of the urinary system known as Magnetic Resonance Urography (MRU). This radiation-free technique uses strong magnetic fields and radio waves to produce detailed images with the help of a computer. MRU is particularly effective for visualizing fluid-filled structures like the kidneys, ureters, and bladder.Applications of MRI in the Genitourinary SystemKidneys and Ureters: MRI detects tumors, cysts,...
181

You might also read

Related Articles

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

Sort by
Same author

Physics-constrained dual-domain network for CBCT reconstruction from orthogonal X-rays in gynecologic radiotherapy.

Medical physics·2026
Same author

A digital twin framework for adaptive treatment planning in radiotherapy.

Physics in medicine and biology·2026
Same author

Gut Microbiome Associations With Depressive Symptoms in Women With Gynecologic Cancer: A Longitudinal Study.

Biological research for nursing·2026
Same author

Efficient vision mamba for MRI super-resolution via hybrid selective scanning.

Medical physics·2026
Same author

Stereotactic arrhythmia radioablation for refractory ventricular tachycardia: A narrative review and pooled analysis of clinical outcomes and treatment delivery approaches.

Journal of applied clinical medical physics·2026
Same author

A Pilot Study of Multimodal Dosiomics and Longitudinal Delta-Radiomics for Predicting Radiation-Induced Xerostomia in Head-and-Neck Cancer.

Proceedings of SPIE--the International Society for Optical Engineering·2026

Related Experiment Video

Updated: Dec 20, 2025

A Cognitive Fusion-guided Prostate Biopsy Using Multiparametric Magnetic Resonance Imaging and Transrectal Ultrasound
06:08

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

Published on: March 21, 2025

932

Automatic multi-catheter detection using deeply supervised convolutional neural network in MRI-guided HDR prostate

Xianjin Dai1, Yang Lei1, Yupei Zhang1

  • 1Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA, 30332, USA.

Medical Physics
|June 3, 2020
PubMed
Summary

A novel deep learning method accurately reconstructs multiple catheters in MRI scans for high-dose-rate (HDR) prostate brachytherapy. This automated approach improves efficiency and precision in treatment planning for prostate cancer.

Keywords:
catheter detectiondeep learningmagnetic resonance imagingprostate brachytherapytotal variation regularization

More Related Videos

Detection and Isolation of Cancer in Prostate Biopsies Using Stimulated Raman Histology and Artificial Intelligence
08:05

Detection and Isolation of Cancer in Prostate Biopsies Using Stimulated Raman Histology and Artificial Intelligence

Published on: June 10, 2025

1.0K
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

22.1K

Related Experiment Videos

Last Updated: Dec 20, 2025

A Cognitive Fusion-guided Prostate Biopsy Using Multiparametric Magnetic Resonance Imaging and Transrectal Ultrasound
06:08

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

Published on: March 21, 2025

932
Detection and Isolation of Cancer in Prostate Biopsies Using Stimulated Raman Histology and Artificial Intelligence
08:05

Detection and Isolation of Cancer in Prostate Biopsies Using Stimulated Raman Histology and Artificial Intelligence

Published on: June 10, 2025

1.0K
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

22.1K

Area of Science:

  • Medical Imaging
  • Radiation Oncology
  • Artificial Intelligence

Background:

  • High-dose-rate (HDR) brachytherapy is a key treatment for prostate cancer, often combined with external beam radiation therapy (EBRT).
  • Accurate radiation source path reconstruction is vital for HDR treatment planning.
  • Magnetic resonance imaging (MRI) offers superior soft-tissue contrast for precise delineation in image-guided HDR prostate brachytherapy.

Purpose of the Study:

  • To develop and evaluate a deep learning-based method for automatic multi-catheter reconstruction in MRI for prostate cancer HDR brachytherapy.
  • To improve the efficiency and accuracy of catheter localization compared to manual methods.

Main Methods:

  • An attention-gated U-Net model with total variation (TV) regularization was employed for multi-catheter segmentation in MRI.
  • Attention gates enhanced the identification of small catheter points, while TV regularization ensured spatial continuity.
  • The model was trained using expert-annotated MRI images and subsequently tested on new patient data.

Main Results:

  • The method successfully detected 299 catheters across 20 patients, achieving a mean catheter tip error of 0.37 ± 1.68 mm and a mean shaft error of 0.93 ± 0.50 mm.
  • 87% of catheter tips were localized within ±2.0 mm, with over 71% within 1.0 mm.
  • 97% of catheter shafts were detected within 2.0 mm, and 63% within 1.0 mm.

Conclusions:

  • A novel deep learning method precisely localizes catheter tips and shafts in 3D MRI for HDR prostate brachytherapy.
  • This automated approach has the potential to enhance the quality and outcomes of MRI-guided HDR prostate brachytherapy.