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Artificial intelligence and texture analysis in cardiac imaging


Mannil, Manoj; Eberhard, Matthias; von Spiczak, Jochen; Heindel, Walter; Alkadhi, Hatem; Baessler, Bettina (2020). Artificial intelligence and texture analysis in cardiac imaging. Current Cardiology Reports, 22(11):131.

Abstract

PURPOSE OF REVIEW: The aim of this structured review is to summarize the current research applications and opportunities arising from artificial intelligence (AI) and texture analysis with regard to cardiac imaging.
RECENT FINDINGS: Current research findings suggest tremendous potential for AI in cardiac imaging, especially with regard to objective image analyses, overcoming the limitations of an observer-dependent subjective image interpretation. Researchers have used this technique across multiple imaging modalities, for instance to detect myocardial scars in cardiac MR imaging, to predict contrast enhancement in non-contrast studies, and to improve image acquisition and reconstruction. AI in medical imaging has the potential to provide novel, much-needed applications for improving patient care pertaining to the cardiovascular system. While several shortcomings are still present in the current methodology, AI may serve as a resourceful assistant to radiologists and clinicians alike.

Abstract

PURPOSE OF REVIEW: The aim of this structured review is to summarize the current research applications and opportunities arising from artificial intelligence (AI) and texture analysis with regard to cardiac imaging.
RECENT FINDINGS: Current research findings suggest tremendous potential for AI in cardiac imaging, especially with regard to objective image analyses, overcoming the limitations of an observer-dependent subjective image interpretation. Researchers have used this technique across multiple imaging modalities, for instance to detect myocardial scars in cardiac MR imaging, to predict contrast enhancement in non-contrast studies, and to improve image acquisition and reconstruction. AI in medical imaging has the potential to provide novel, much-needed applications for improving patient care pertaining to the cardiovascular system. While several shortcomings are still present in the current methodology, AI may serve as a resourceful assistant to radiologists and clinicians alike.

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Additional indexing

Item Type:Journal Article, refereed, further contribution
Communities & Collections:04 Faculty of Medicine > University Hospital Zurich > Clinic for Diagnostic and Interventional Radiology
Dewey Decimal Classification:610 Medicine & health
Scopus Subject Areas:Health Sciences > Cardiology and Cardiovascular Medicine
Uncontrolled Keywords:Artificial intelligence; CT; Cardiac imaging; MRI; Radiomics; Texture analysis.
Language:English
Date:10 September 2020
Deposited On:28 Sep 2020 14:54
Last Modified:29 Sep 2020 20:00
Publisher:Springer
ISSN:1523-3782
OA Status:Closed
Publisher DOI:https://doi.org/10.1007/s11886-020-01402-1
PubMed ID:32910325

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