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Related Concept Videos

Imaging Studies for Cardiovascular System IV: CMRI01:21

Imaging Studies for Cardiovascular System IV: CMRI

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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

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Biventricular Assessment of Cardiac Function and Pressure-Volume Loops by Closed-Chest Catheterization in Mice
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From Compressed-Sensing to Deep Learning MR: Comparative Biventricular Cardiac Function Analysis in a Patient Cohort.

Xianghu Yan1, Yi Luo1, Xiao Chen2

  • 1Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Journal of Magnetic Resonance Imaging : JMRI
|July 12, 2023
PubMed
Summary
This summary is machine-generated.

Compressed sensing (CS) and artificial intelligence (AI) cine imaging offer fast cardiac assessments comparable to conventional cine imaging. These techniques benefit patients with breath-hold difficulties, providing accurate biventricular function analysis.

Keywords:
artificial intelligencebiventriclecompressed sensingdeep learningfunction

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Area of Science:

  • Cardiovascular Imaging
  • Medical Physics
  • Artificial Intelligence in Medicine

Background:

  • Conventional cine (Conv-cine) MRI faces challenges in patients with breath-hold difficulties.
  • Compressed sensing (CS) cine offers solutions but has long reconstruction times.
  • Artificial intelligence (AI) cine shows potential for rapid cardiac imaging.

Purpose of the Study:

  • To compare CS-cine and AI-cine against Conv-cine for biventricular function, image quality, and reconstruction time.
  • Evaluate quantitative biventricular parameters and subjective image quality.
  • Assess the clinical utility of novel cine techniques.

Main Methods:

  • Prospective study involving 70 patients (39±15 years, 54.3% male) using 3T MRI.
  • Acquisition via balanced steady-state free precession gradient echo sequences.
  • Independent assessment of biventricular parameters and image quality by radiologists; scan and reconstruction times recorded.

Main Results:

  • CS-cine and AI-cine showed no significant differences in biventricular function compared to Conv-cine (P > 0.05).
  • Both CS-cine and AI-cine significantly reduced scan time compared to Conv-cine.
  • AI-cine demonstrated similar image quality to Conv-cine, while CS-cine showed lower scores; AI-cine drastically reduced reconstruction time compared to CS-cine.

Conclusions:

  • CS-cine and AI-cine enable whole-heart cardiac cine imaging within a single breath-hold.
  • Both techniques can supplement conventional cine MRI for biventricular function assessment.
  • AI-cine and CS-cine are beneficial for patients with breath-holding limitations.