Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Magnetic Resonance Imaging

Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...

You might also read

Related Articles

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

Sort by

Same author

A pilot study of magnetic resonance fingerprinting and radiomics analysis in autosomal dominant polycystic kidney disease.

Kidney international·2026

Same author

A Comparison of the Tofts and Linear Reference Region Models for DCE MRI When Monitoring Vascular Disruption in a Preclinical Tumor Model.

NMR in biomedicine·2026

Same author

Using a Physics-Based Approach to Standardize Radiomics Values: Experimental Validation in an Anthropomorphic Phantom on a Clinical CT Scanner Using a Range of Dose Levels and Reconstruction Kernels.

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

Same author

Lung T1-MRI and Multi-Breath Washout Detect Longitudinal Changes in Children 6-11 Years Old After Beginning Elexacaftor/Tezacaftor/Ivacaftor (ETI) Therapy.

Pediatric pulmonology·2026

Same author

A Generative Model of Lung CT Conditioned on Radiomics Features.

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

Same author

Characterization of Clinically Significant Prostate Cancer in the Peripheral Zone Using Rapid B<sub>1</sub>-Insensitive MR Fingerprinting.

Radiology·2026

Search research articles

Related Experiment Video

Updated: Jan 15, 2026

Use of 3D Robotic Ultrasound for In Vivo Analysis of Mouse Kidneys

Use of 3D Robotic Ultrasound for In Vivo Analysis of Mouse Kidneys

Published on: August 12, 2021

Accelerating 2D Kidney Magnetic Resonance Fingerprinting Using Deep Learning Based Tissue Quantification.

Zhiqing Yin¹, Huay Din², Jessie E P Sun³

¹Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, USA.

Journal of Magnetic Resonance Imaging : JMRI

|October 14, 2025

Summary

This summary is machine-generated.

Deep learning accelerates kidney Magnetic Resonance Fingerprinting (MRF) acquisition, enabling rapid and accurate T1 and T2 mapping in healthy kidneys and renal masses. This method ensures reliable tissue quantification with at least two-fold acceleration.

Keywords:

T 1 and T 2 relaxation times deep learning magnetic resonance fingerprinting quantitative imaging renal cell carcinoma

More Related Videos

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

Use of Ultra-high Field MRI in Small Rodent Models of Polycystic Kidney Disease for In Vivo Phenotyping and Drug Monitoring

Use of Ultra-high Field MRI in Small Rodent Models of Polycystic Kidney Disease for In Vivo Phenotyping and Drug Monitoring

Published on: June 23, 2015

Related Experiment Videos

Last Updated: Jan 15, 2026

Use of 3D Robotic Ultrasound for In Vivo Analysis of Mouse Kidneys

Use of 3D Robotic Ultrasound for In Vivo Analysis of Mouse Kidneys

Published on: August 12, 2021

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

Use of Ultra-high Field MRI in Small Rodent Models of Polycystic Kidney Disease for In Vivo Phenotyping and Drug Monitoring

Use of Ultra-high Field MRI in Small Rodent Models of Polycystic Kidney Disease for In Vivo Phenotyping and Drug Monitoring

Published on: June 23, 2015

Area of Science:

Medical Imaging
Artificial Intelligence in Medicine
Biomedical Engineering

Background:

Magnetic Resonance Fingerprinting (MRF) offers rapid quantification of tissue properties.
Deep learning presents a potential avenue for accelerating MRF acquisition.

Purpose of the Study:

To develop a deep learning (DL) method for accelerated kidney MRF acquisition.
To evaluate the DL method's performance in healthy subjects and patients with renal masses.

Main Methods:

Retrospective study using internal reference data.
Development and testing on datasets including healthy subjects and patients with renal masses.
Steady-State Free Precession (FISP)-based MRF at 3T, with quantitative metrics like NRMSE for accuracy assessment.

Main Results:

Achieved accurate T1 and T2 quantification in healthy kidneys with three-fold acceleration (5s scan time), outperforming template matching.
Demonstrated similar performance for renal masses with T1/T2 values close to healthy tissues.
Showed that distinct T1/T2 values in renal masses require more MRF frames for accurate quantification.
Found no significant difference in quantification accuracy between networks trained on healthy subjects versus mixed datasets.

Conclusions:

A DL-based method successfully accelerates kidney MRF acquisition without compromising relaxation time mapping accuracy.
The developed method provides reliable tissue quantification for healthy kidneys and various renal masses with at least two-fold acceleration.