Cardiac MR perfusion image processing techniques: a survey

TitleCardiac MR perfusion image processing techniques: a survey
Publication TypeJournal Article
Year of Publication2012
AuthorsGupta, V, Kirişli, HA, Hendriks, EA, van der Geest, RJ, van de Giessen, M, Niessen, WJ, Reiber, JHC, Lelieveldt, BPF
JournalMedical Image Analysis
Date Published2012 May
KeywordsAlgorithms, Coronary Artery Disease, Humans, Image Enhancement, Image Interpretation, Computer-Assisted, Magnetic Resonance Angiography, Myocardial Perfusion Imaging, Reproducibility of Results, Sensitivity and Specificity

First-pass cardiac MR perfusion (CMRP) imaging has undergone rapid technical advancements in recent years. Although the efficacy of CMRP imaging in the assessment of coronary artery diseases (CAD) has been proven, its clinical use is still limited. This limitation stems, in part, from manual interaction required to quantitatively analyze the large amount of data. This process is tedious, time-consuming, and prone to operator bias. Furthermore, acquisition and patient related image artifacts reduce the accuracy of quantitative perfusion assessment. With the advent of semi- and fully automatic image processing methods, not only the challenges posed by these artifacts have been overcome to a large extent, but a significant reduction has also been achieved in analysis time and operator bias. Despite an extensive literature on such image processing methods, to date, no survey has been performed to discuss this dynamic field. The purpose of this article is to provide an overview of the current state of the field with a categorical study, along with a future perspective on the clinical acceptance of image processing methods in the diagnosis of CAD.

PubMed ID22297264