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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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Magnetic Resonance Imaging01:24

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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...
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Imaging Studies for Cardiovascular System V: CT01:28

Imaging Studies for Cardiovascular System V: CT

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Cardiac computed tomography (CT) scanning is an advanced cardiac imaging technique that utilizes CT technology, with or without intravenous (IV) contrast, to produce accurate cross-sectional virtual slices of specific areas of the heart, coronary circulation, and major blood vessels such as the aorta, pulmonary veins, and arteries. The computer processes these slices to generate three-dimensional images. Multidetector CT (MDCT) is a rapid form of CT scanning that captures multiple slices...
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Imaging Studies I: CT and MRI01:14

Imaging Studies I: CT and MRI

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Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
Description of the Procedures
Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...
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Imaging Studies IV: Magnetic Resonance Imaging01:27

Imaging Studies IV: Magnetic Resonance Imaging

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Introduction:Magnetic Resonance Imaging, or MRI, can include a specialized imaging technique of the urinary system known as Magnetic Resonance Urography (MRU). This radiation-free technique uses strong magnetic fields and radio waves to produce detailed images with the help of a computer. MRU is particularly effective for visualizing fluid-filled structures like the kidneys, ureters, and bladder.Applications of MRI in the Genitourinary SystemKidneys and Ureters: MRI detects tumors, cysts,...
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Cardiac Magnetic Resonance Imaging at 7 Tesla
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Cardiac MR: From Theory to Practice.

Tevfik F Ismail1,2, Wendy Strugnell3, Chiara Coletti4

  • 1School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom.

Frontiers in Cardiovascular Medicine
|March 21, 2022
PubMed
Summary
This summary is machine-generated.

Cardiovascular magnetic resonance (CMR) offers advanced assessment of heart health but faces complexity challenges. This review bridges clinical and scientific gaps, highlighting machine learning

Keywords:
CMR protocolcardiovascular MRdeep learningimage processingimage reconstructionimaging accelerationquantitative imagingsequence design

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Area of Science:

  • Cardiovascular imaging and diagnostics
  • Medical physics and engineering
  • Artificial intelligence in healthcare

Background:

  • Cardiovascular disease (CVD) is a leading global cause of death and significant economic burden.
  • Cardiovascular magnetic resonance (CMR) is crucial for assessing heart anatomy, function, and viability.
  • Widespread CMR adoption is limited by complex imaging, reconstruction, and analysis methods.

Purpose of the Study:

  • To provide a comprehensive overview of Cardiovascular Magnetic Resonance (CMR) for cardiovascular disease (CVD) assessment.
  • To bridge the gap between clinical practice and scientific advancements, particularly in machine learning.
  • To cover essential aspects from MR physics to deep learning-based analysis.

Main Methods:

  • Introduction to basic MR physics and CMR pulse sequences for parametric mapping and functional imaging.
  • Illustration of CMR methods for CVD identification, including anatomy, function, and pathology.
  • Guidance on planning and conducting CMR exams, including strategies for challenging patients.
  • Presentation of imaging acceleration, reconstruction techniques, and motion handling strategies.
  • Summary of deep learning advancements in CMR reconstruction, segmentation, and analysis.

Main Results:

  • The review details fundamental CMR principles and their application in diagnosing CVD.
  • It outlines efficient CMR workflows and techniques for motion artifact mitigation.
  • Recent advances in deep learning for accelerated CMR acquisition and automated analysis are highlighted.

Conclusions:

  • CMR is a powerful tool for CVD assessment, with ongoing advancements addressing its limitations.
  • Machine learning and deep learning are poised to enhance CMR's efficiency, accuracy, and clinical utility.
  • This review provides a foundational understanding and outlook on the evolving field of CMR.