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

Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

10.3K
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...
10.3K
Imaging Studies for Cardiovascular System IV: CMRI01:21

Imaging Studies for Cardiovascular System IV: CMRI

515
Cardiovascular magnetic resonance imaging, or CMRI, is a non-invasive diagnostic test that employs a magnetic field and radiofrequency waves to create precise images of the heart and arteries. It provides comprehensive information about cardiac anatomy, function, perfusion, and tissue characterization without ionizing radiation.IndicationsCMRI diagnoses various heart conditions, including tissue damage from heart attacks, ischemic heart disease, myocarditis, aortic issues (tears, aneurysms,...
515

You might also read

Related Articles

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

Sort by
Same author

Aztreonam-Avibactam and Cefiderocol against Metallo-β-Lactamase-Producing Enterobacterales and Other Carbapenem-Resistant Gram-Negative Pathogens: Microbiological Activity and Clinical Evidence.

Journal of global antimicrobial resistance·2026
Same author

Reduction of Blood Culture Contamination Through an Evidence-Based, Multidisciplinary Quality Improvement Initiative.

Journal for healthcare quality : official publication of the National Association for Healthcare Quality·2026
Same author

Sustainable Low-Field Cardiovascular Magnetic Resonance in Changing Healthcare Systems-An Update.

NMR in biomedicine·2026
Same author

A longitudinal study of quantitative pulmonary dynamic contrast enhanced MRI following COVID-19 infection.

Respiratory research·2026
Same author

Efficacy of continuous UV-C<sub>222</sub> exposure of <i>Candida auris,</i> methicillin-resistant <i>Staphylococcus aureus,</i> and T1 bacteriophage at two soil levels in hospital patient rooms.

Infection control and hospital epidemiology·2026
Same author

Characterizing the Diffusion Properties of Prostate Tissue Using Paired MR Microscopy and Multidimensional Diffusion MRI.

Magnetic resonance in medicine·2026

Related Experiment Video

Updated: Mar 26, 2026

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
09:30

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

20.2K

ISMRM Raw data format: A proposed standard for MRI raw datasets.

Souheil J Inati1, Joseph D Naegele1, Nicholas R Zwart2

  • 1National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, USA.

Magnetic Resonance in Medicine
|January 30, 2016
PubMed
Summary

A new ISMRM Raw Data format promotes sharing of magnetic resonance imaging (MRI) data and algorithms. This open format supports reproducible research and collaboration across the MRI community.

Keywords:
image reconstructionmagnetic resonance imagingopen sourceraw data format

More Related Videos

Standardized Data Acquisition for Neuromelanin-Sensitive Magnetic Resonance Imaging of the Substantia Nigra
05:14

Standardized Data Acquisition for Neuromelanin-Sensitive Magnetic Resonance Imaging of the Substantia Nigra

Published on: September 8, 2021

4.9K
Acquisition of Resting-State Functional Magnetic Resonance Imaging Data in the Rat
12:41

Acquisition of Resting-State Functional Magnetic Resonance Imaging Data in the Rat

Published on: August 28, 2021

5.0K

Related Experiment Videos

Last Updated: Mar 26, 2026

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
09:30

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease

Published on: December 18, 2016

20.2K
Standardized Data Acquisition for Neuromelanin-Sensitive Magnetic Resonance Imaging of the Substantia Nigra
05:14

Standardized Data Acquisition for Neuromelanin-Sensitive Magnetic Resonance Imaging of the Substantia Nigra

Published on: September 8, 2021

4.9K
Acquisition of Resting-State Functional Magnetic Resonance Imaging Data in the Rat
12:41

Acquisition of Resting-State Functional Magnetic Resonance Imaging Data in the Rat

Published on: August 28, 2021

5.0K

Area of Science:

  • Medical Imaging
  • Biomedical Engineering
  • Data Science

Background:

  • Magnetic Resonance Imaging (MRI) data sharing is often hindered by proprietary formats.
  • Lack of standardization limits algorithm development and reproducible research in MRI.

Purpose of the Study:

  • To propose and implement a common, open-source raw data format for MRI.
  • To facilitate algorithm and data sharing within the scientific community.

Main Methods:

  • Designed a flexible header and tagged k-space data frames for the ISMRM Raw Data format.
  • Developed Application Programming Interfaces (APIs) in C/C++, MATLAB, and Python.
  • Created converters for proprietary formats from Bruker, GE, Philips, and Siemens.

Main Results:

  • Successfully converted and reconstructed MRI raw data from four vendors using the new format.
  • Shared source code, raw data, and images online to exemplify reproducible research.

Conclusions:

  • The ISMRM Raw Data format addresses a critical need for standardization in MRI.
  • This open, community-driven format can foster reproducible research and collaborations.