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Published in:
2015 | OriginalPaper | Chapter
Comparison of Linear and Non-linear 2D+T Registration Methods for DE-MRI Cardiac Perfusion Studies
Authors : Gert Wollny, María-Jesus Ledesma-Carbayo
Published in: Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges
Publisher: Springer International Publishing
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A series of motion compensation algorithms is run on the challenge data including methods that optimize only a linear transformation, or a non-linear transformation, or both – first a linear and then a non-linear transformation. Methods that optimize a linear transformation run an initial segmentation of the area of interest around the left myocardium by means of an
independent component analysis
(ICA) (
ICA-
*). Methods that optimize non-linear transformations may run directly on the full images, or after linear registration. Non-linear motion compensation approaches applied include one method that only registers pairs of images in temporal succession (
SERIAL
), one method that registers all image to one common reference (
AllToOne
), one method that was designed to exploit quasi-periodicity in free breathing acquired image data and was adapted to also be usable to image data acquired with initial breath-hold (
QUASI-P
), a method that uses ICA to identify the motion and eliminate it (
ICA-SP
), and a method that relies on the estimation of a
pseudo ground truth
(
PG
) to guide the motion compensation.