Motion-compensation of Cardiac Perfusion MRI using a Statistical Texture Ensemble

Mikkel Bille Stegmann; Henrik B. W. Larsson

doi:10.1007/3-540-44883-7_16

Motion-compensation of Cardiac Perfusion MRI using a Statistical Texture Ensemble

Mikkel Bille Stegmann, Henrik B. W. Larsson

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

This paper presents a novel method for segmentation of cardiac perfusion MRI. By performing complex analyses of variance and clustering in an annotated training set off-line, the presented method provide real-time segmentation in an on-line setting. This renders the method feasible for e.g. analysis of large image databases or for live motion-compensation in modern MR scanners.
Changes in image intensity during the bolus passage is modelled by an Active Appearance Model is augmented with a cluster analysis of the training set and priors on pose and shape.
Preliminary validation of the method is carried out using 250 MR perfusion images, acquired without breath-hold from five subjects. Results show high accuracy, given the limited number of subjects.

Original language	English
Title of host publication	Functional Imaging and Modeling of the Heart, FIMH 2003
Publisher	Springer Verlag
Publication date	2003
Pages	151-161
DOIs	https://doi.org/10.1007/3-540-44883-7_16
Publication status	Published - 2003
Event	Functional Imaging and Modeling of the Heart, FIMH 2003 - Duration: 1 Jan 2003 → …

Conference

Conference	Functional Imaging and Modeling of the Heart, FIMH 2003
Period	01/01/2003 → …

Series	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	2674
ISSN	0302-9743

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Stegmann, Mikkel Bille ; Larsson, Henrik B. W. / Motion-compensation of Cardiac Perfusion MRI using a Statistical Texture Ensemble. Functional Imaging and Modeling of the Heart, FIMH 2003. Springer Verlag, 2003. pp. 151-161 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2674).

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keywords = "myocardial perfusion imaging, segmentation, clustering, active appearance models",

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Stegmann, MB & Larsson, HBW 2003, Motion-compensation of Cardiac Perfusion MRI using a Statistical Texture Ensemble. in Functional Imaging and Modeling of the Heart, FIMH 2003. Springer Verlag, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2674, pp. 151-161, Functional Imaging and Modeling of the Heart, FIMH 2003, 01/01/2003. https://doi.org/10.1007/3-540-44883-7_16

Motion-compensation of Cardiac Perfusion MRI using a Statistical Texture Ensemble. / Stegmann, Mikkel Bille; Larsson, Henrik B. W.
Functional Imaging and Modeling of the Heart, FIMH 2003. Springer Verlag, 2003. p. 151-161 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2674).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Stegmann MB, Larsson HBW. Motion-compensation of Cardiac Perfusion MRI using a Statistical Texture Ensemble. In Functional Imaging and Modeling of the Heart, FIMH 2003. Springer Verlag. 2003. p. 151-161. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2674). doi: 10.1007/3-540-44883-7_16

Motion-compensation of Cardiac Perfusion MRI using a Statistical Texture Ensemble

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