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Related Concept Videos

Imaging Studies for Cardiovascular System IV: CMRI01:21

Imaging Studies for Cardiovascular System IV: CMRI

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,...

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Related Experiment Video

Updated: May 21, 2026

Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
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Published on: December 15, 2014

Simultaneous multi-slice Cardiac Diffusion Tensor Imaging with variable CAIPIRINHA shifts and artefact-aware AI.

Michael Tänzer1, Eun Ji Lim1, Huaqi Harvey Qiu2

  • 1Imperial College London, London, UK; Royal Brompton and Harefield Hospital, London, UK.

Medical Image Analysis
|May 19, 2026
PubMed
Summary
This summary is machine-generated.

Cardiac Diffusion Tensor Imaging (cDTI) can now be significantly accelerated using the ORCAS framework. This AI-powered approach drastically reduces scan times while maintaining accuracy for myocardial microstructure analysis.

Keywords:
Artefact reductionCAIPIRINHACardiac diffusion tensor imagingDeep learningMRI reconstructionSimultaneous multi-slice

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Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
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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

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
17:06

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

Area of Science:

  • Biomedical Imaging
  • Cardiovascular MRI
  • Diffusion Tensor Imaging

Background:

  • Cardiac Diffusion Tensor Imaging (cDTI) offers vital in-vivo myocardial microstructure insights.
  • Current cDTI methods suffer from long acquisition times due to signal averaging needs.
  • Existing acceleration techniques like reduced repetitions and simultaneous multi-slice (SMS) imaging have limitations.

Purpose of the Study:

  • To introduce ORCAS, a novel framework for accelerated whole-heart cDTI.
  • To overcome SNR limitations and SMS-induced artefacts in accelerated cDTI.
  • To enable faster and more clinically feasible myocardial microstructure assessment.

Main Methods:

  • ORCAS combines a variable CAIPIRINHA acquisition with an artefact-aware AI reconstruction.
  • Variable CAIPIRINHA decoheres SMS artefacts across repetitions.
  • A dual-domain deep learning model suppresses artefacts and low SNR, guided by auxiliary data.

Main Results:

  • ORCAS achieves over 18-fold acceleration, reducing scan time from hours to under 7 minutes.
  • Errors in biomarkers like Fractional Anisotropy were reduced by up to 64%.
  • The framework successfully preserved microstructural properties and abnormality delineation.

Conclusions:

  • ORCAS significantly accelerates whole-heart cDTI, addressing major clinical translation barriers.
  • The framework demonstrates high fidelity in assessing myocardial microstructure and pathologies.
  • ORCAS represents a substantial advancement towards routine clinical application of cDTI.