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Published in: Current Cardiology Reports 3/2015

01-03-2015 | Cardiac PET, CT, and MRI (SE Petersen, Section Editor)

Challenges of Cardiac Image Analysis in Large-Scale Population-Based Studies

Authors: Pau Medrano-Gracia, Brett R. Cowan, Avan Suinesiaputra, Alistair A. Young

Published in: Current Cardiology Reports | Issue 3/2015

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Abstract

Large-scale population-based imaging studies of preclinical and clinical heart disease are becoming possible due to the advent of standardized robust non-invasive imaging methods and infrastructure for big data analysis. This gives an exciting opportunity to gain new information about the development and progression of heart disease across population groups. However, the large amount of image data and prohibitive time required for image analysis present challenges for obtaining useful derived data from the images. Automated analysis tools for cardiac image analysis are only now becoming available. This paper reviews the challenges and possible solutions to the analysis of big imaging data in population studies. We also highlight the potential of recent large epidemiological studies using cardiac imaging to discover new knowledge on heart health and well-being.
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Metadata
Title
Challenges of Cardiac Image Analysis in Large-Scale Population-Based Studies
Authors
Pau Medrano-Gracia
Brett R. Cowan
Avan Suinesiaputra
Alistair A. Young
Publication date
01-03-2015
Publisher
Springer US
Published in
Current Cardiology Reports / Issue 3/2015
Print ISSN: 1523-3782
Electronic ISSN: 1534-3170
DOI
https://doi.org/10.1007/s11886-015-0563-2

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