Literature DB >> 18955175

A comprehensive approach to the analysis of contrast enhanced cardiac MR images.

Anja Hennemuth1, Achim Seeger, Ola Friman, Stephan Miller, Bernhard Klumpp, Steffen Oeltze, Heinz-Otto Peitgen.   

Abstract

Current magnetic resonance imaging (MRI) technology allows the determination of patient-individual coronary tree structure, detection of infarctions, and assessment of myocardial perfusion. Joint inspection of these three aspects yields valuable information for therapy planning, e.g., through classification of myocardium into healthy tissue, regions showing a reversible hypoperfusion, and infarction with additional information on the corresponding supplying artery. Standard imaging protocols normally provide image data with different orientations, resolutions and coverages for each of the three aspects, which makes a direct comparison of analysis results difficult. The purpose of this work is to develop methods for the alignment and combined analysis of these images. The proposed approach is applied to 21 datasets of healthy and diseased patients from the clinical routine. The evaluation shows that, despite limitations due to typical MRI artifacts, combined inspection is feasible and can yield clinically useful information.

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Year:  2008        PMID: 18955175     DOI: 10.1109/TMI.2008.2006512

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  17 in total

1.  New automated Markov-Gibbs random field based framework for myocardial wall viability quantification on agent enhanced cardiac magnetic resonance images.

Authors:  Ahmed Elnakib; Garth M Beache; Georgy Gimel'farb; Ayman El-Baz
Journal:  Int J Cardiovasc Imaging       Date:  2011-12-09       Impact factor: 2.357

2.  Automated quantification of myocardial infarction using graph cuts on contrast delayed enhanced magnetic resonance images.

Authors:  Yingli Lu; Yuesong Yang; Kim A Connelly; Graham A Wright; Perry E Radau
Journal:  Quant Imaging Med Surg       Date:  2012-06

3.  Comparison of semi-automated scar quantification techniques using high-resolution, 3-dimensional late-gadolinium-enhancement magnetic resonance imaging.

Authors:  Martin Rajchl; John Stirrat; Maged Goubran; Jeff Yu; David Scholl; Terry M Peters; James A White
Journal:  Int J Cardiovasc Imaging       Date:  2014-10-12       Impact factor: 2.357

Review 4.  A new look at the heart-novel imaging techniques.

Authors:  C M Johnston; A J Krafft; M F Russe; E A Rog-Zielinska
Journal:  Herzschrittmacherther Elektrophysiol       Date:  2017-12-14

5.  The culprit lesion and its consequences: combined visualization of the coronary arteries and delayed myocardial enhancement in dual-source CT: a pilot study.

Authors:  Andreas H Mahnken; Philipp Bruners; Ola Friman; Anja Hennemuth
Journal:  Eur Radiol       Date:  2010-06-23       Impact factor: 5.315

6.  Image fusion of coronary CT angiography and cardiac perfusion MRI: a pilot study.

Authors:  Paul Stolzmann; Hatem Alkadhi; Hans Scheffel; Anja Hennemuth; Caroline Kuehnel; Stephan Baumueller; Sebastian Kozerke; Volkmar Falk; Borut Marincek; Olivio F Donati
Journal:  Eur Radiol       Date:  2010-03-04       Impact factor: 5.315

7.  Myocardium segmentation from DE MRI with guided random walks and sparse shape representation.

Authors:  Jie Liu; Xiahai Zhuang; Hongzhi Xie; Shuyang Zhang; Lixu Gu
Journal:  Int J Comput Assist Radiol Surg       Date:  2018-07-07       Impact factor: 2.924

8.  Robust universal nonrigid motion correction framework for first-pass cardiac MR perfusion imaging.

Authors:  Mitchel Benovoy; Matthew Jacobs; Farida Cheriet; Nagib Dahdah; Andrew E Arai; Li-Yueh Hsu
Journal:  J Magn Reson Imaging       Date:  2017-02-15       Impact factor: 4.813

9.  Myocardial Infarct Segmentation From Magnetic Resonance Images for Personalized Modeling of Cardiac Electrophysiology.

Authors:  Natalia A Trayanova; Fijoy Vadakkumpadan; Eranga Ukwatta; Hermenegild Arevalo; Kristina Li; Jing Yuan; Wu Qiu; Peter Malamas; Katherine C Wu
Journal:  IEEE Trans Med Imaging       Date:  2015-12-25       Impact factor: 10.048

Review 10.  Quantification in cardiac MRI: advances in image acquisition and processing.

Authors:  Anil K Attili; Andreas Schuster; Eike Nagel; Johan H C Reiber; Rob J van der Geest
Journal:  Int J Cardiovasc Imaging       Date:  2010-02       Impact factor: 2.357

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