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: May 21, 2026

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
15:48

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging

Published on: December 15, 2014

Dynamic breast MRI with Flexible Temporal Resolution Aided by Deep Learning.

Sungheon Gene Kim1, Jonghyun Bae1, Linda Moy2

  • 1MRI Research Institute, Department of Radiology, Weill Cornell Medical College, Cornell University, 407 East 61st Street, New York, NY, USA.

Nature Communications
|May 19, 2026
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

Five-Year Breast Cancer Risk Prediction From Screening Breast Ultrasound Using Deep Learning.

medRxiv : the preprint server for health sciences·2026
Same author

Software-defined Radar for MRI Motion Correction: A versatile, vendor-independent Platform.

medRxiv : the preprint server for health sciences·2026
Same author

Endometrial microbiota in maternal-fetal tolerance: An in vitro study of extravillous trophoblasts and uNK cells.

Journal of reproductive immunology·2026
Same author

Multi-omics validation of myelin water fraction as a myelin-specific MRI biomarker.

NeuroImage·2026
Same author

Excess iron in deep gray matter is associated with cognitive and functional decline: The mediating role of white matter myelin.

NeuroImage·2026
Same author

Breast US: State of the Art.

Radiology·2026

Enhanced Locally low-rank Imaging for Tissue contrast Enhancement (ELITE) improves dynamic contrast-enhanced MRI (DCE-MRI) for breast cancer screening. This novel framework enhances image quality and allows for faster scan times, benefiting various MRI applications.

Area of Science:

  • Radiology
  • Medical Imaging
  • Machine Learning

Background:

  • Magnetic Resonance Imaging (MRI) is crucial for high-risk breast cancer screening.
  • Current MRI methods primarily use morphological features, with limited use of contrast kinetic information.
  • Balancing spatial resolution, temporal resolution, and scan time is a significant challenge in dynamic MRI.

Purpose of the Study:

  • To introduce a novel radial MRI reconstruction framework, Enhanced Locally low-rank Imaging for Tissue contrast Enhancement (ELITE), for Dynamic Contrast Enhanced (DCE) imaging.
  • To address the limitations of current dynamic MRI techniques in balancing resolution and scan time.
  • To improve the effectiveness of MRI in screening and other applications.

Main Methods:

  • Developed ELITE, a radial MRI reconstruction framework combining locally low-rank subspace modeling with deep learning.

More Related Videos

Pulmonary Structural MRI using Free-Breathing, Self-Gated Ultra-short Echo Time Imaging
05:07

Pulmonary Structural MRI using Free-Breathing, Self-Gated Ultra-short Echo Time Imaging

Published on: September 6, 2024

Related Experiment Videos

Last Updated: May 21, 2026

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
15:48

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging

Published on: December 15, 2014

Pulmonary Structural MRI using Free-Breathing, Self-Gated Ultra-short Echo Time Imaging
05:07

Pulmonary Structural MRI using Free-Breathing, Self-Gated Ultra-short Echo Time Imaging

Published on: September 6, 2024

  • Utilized locally low-rank subspace modeling to capture spatially localized tissue dynamics.
  • Evaluated ELITE using the fastMRI breast initiative dataset.

    • Main Results:

    • Demonstrated substantial improvements in Contrast-to-Noise Ratio (CNR) and noise reduction.
    • Enabled flexible temporal resolution down to 1 second.
    • Showed benefits in neck and brain imaging, indicating broader applicability.

    Conclusions:

    • ELITE offers a viable alternative for DCE-MRI, significantly enhancing image quality and speed.
    • The framework effectively addresses the challenges in dynamic MRI acquisition.
    • ELITE shows promise for improving breast cancer screening and other DCE-MRI applications.