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

Distinguishing Molecular and Histologic Glioblastomas Using Multiparametric MRI-Based Habitat Analysis.

Korean journal of radiology·2026

Same author

Deep Learning for Survival Prediction in Glioblastoma: Time-dependent Model Interpretability Using MRI, Clinical, and Molecular Data.

Radiology. Artificial intelligence·2026

Same author

Predictive Factors for Distant Metastasis in Follicular Thyroid Carcinoma: Analysis of Clinical, Genetic, and Radiomics Features.

Journal of the Korean Society of Radiology·2026

Same author

Influence of slice thickness on computed tomography perfusion-derived ischemic core volume accuracy in acute ischemic stroke.

Quantitative imaging in medicine and surgery·2026

Same author

Impact of Thyroid CT on Detecting Macroscopic Nodal Metastasis in Patients With Papillary Thyroid Microcarcinoma.

Korean journal of radiology·2026

Same author

Embolization with <i>N</i>-Butyl Cyanoacrylate: Properties, Techniques, Applications, and Pitfalls.

Radiographics : a review publication of the Radiological Society of North America, Inc·2026

Search research articles

Related Experiment Video

Updated: Jan 17, 2026

High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain

High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain

Published on: May 10, 2012

ST-SRPerf: Continuous spatiotemporal representation for perfusion MRI super-resolution through neural ODE and

Junhyeok Lee¹, Yoseob Han², Joon Jang³

¹Interdisciplinary Program in Cancer Biology, Seoul National University College of Medicine, Seoul, Republic of Korea.

Computers in Biology and Medicine

|September 13, 2025

Summary

A new SpatioTemporal Super-Resolution framework for Perfusion MRI (ST-SRPerf) enhances image resolution. This advanced technique improves diagnostic accuracy for neurodegenerative diseases and tumor analysis using perfusion MRI.

Keywords:

Continuous representation Implicit neural representation Neural ordinary differential equation Perfusion magnetic resonance imaging Spatiotemporal super-resolution

More Related Videos

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Simultaneous Data Collection of fMRI and fNIRS Measurements Using a Whole-Head Optode Array and Short-Distance Channels

Simultaneous Data Collection of fMRI and fNIRS Measurements Using a Whole-Head Optode Array and Short-Distance Channels

Published on: October 20, 2023

Related Experiment Videos

Last Updated: Jan 17, 2026

High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain

High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain

Published on: May 10, 2012

Modeling the Functional Network for Spatial Navigation in the Human Brain

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

Simultaneous Data Collection of fMRI and fNIRS Measurements Using a Whole-Head Optode Array and Short-Distance Channels

Simultaneous Data Collection of fMRI and fNIRS Measurements Using a Whole-Head Optode Array and Short-Distance Channels

Published on: October 20, 2023

Area of Science:

Medical Imaging
Biomedical Engineering
Artificial Intelligence in Medicine

Background:

Perfusion MRI provides vital data on tissue vascularity for diagnosing conditions like tumors and neurodegenerative diseases.
Current perfusion MRI techniques face limitations in achieving high spatial and temporal resolution, impacting diagnostic accuracy.
Inaccuracies in perfusion parameter estimation hinder the full potential of MRI in clinical applications.

Purpose of the Study:

To introduce a novel framework, ST-SRPerf, for enhancing both spatial and temporal resolution in perfusion MRI.
To address the inherent trade-offs in traditional perfusion MRI methods.
To improve image quality and the accuracy of perfusion parameter estimation.

Main Methods:

Developed SpatioTemporal Super-Resolution framework for Perfusion MRI (ST-SRPerf).
Integrated neural ordinary differential equations for continuous temporal trajectory calculation.
Utilized implicit neural representations for continuous spatial implicit representation to achieve super-resolution.

Main Results:

ST-SRPerf significantly improved image quality in brain and breast perfusion MRI datasets.
The framework demonstrated superior performance in perfusion parameter estimation compared to existing methods.
Enhancements in both spatial and temporal resolution were observed across various downsampling factors.

Conclusions:

ST-SRPerf offers a significant advancement in perfusion MRI super-resolution.
The framework holds promise for improving diagnostic accuracy in clinical settings.
This technique provides a valuable tool for enhancing resolution in medical imaging applications.