Title :
The Correction of EPI-induced Geometric Distortions and Their Evaluation
Author :
Tao, Guozhi ; He, Renjie ; Poonawalla, Aziz H. ; Narayana, Ponnada A.
Author_Institution :
Univ. of Texas, Houston
fDate :
Sept. 16 2007-Oct. 19 2007
Abstract :
An algorithm for correcting the geometric distortions in the echo planar images and diffusion weighted images is described. In this method the geometric distortion in the echo planar imaging (EPI) data is corrected by non-rigid registration to conventional fast-spin echo (FSE) images. The registration is based on a variant of the Demon´s algorithm [10] with consistency enforced by an improved bijectivity scheme. Quantitative metrics based on the forward similarity and inverse consistency measures, calculated from the closest point distances of the image contours, are used to evaluate the performance of nonlinear registration algorithms. The experimental results demonstrated that the proposed nonlinear registration algorithm is able to correct large distortion in the EPI and diffusion weighted images (DWI) while preserving the topology of brain structure.
Keywords :
image registration; nonlinear estimation; DWI; EPI-induced geometric distortion correction; FSE; diffusion weighted images; echo planar images; fast-spin echo images; image contour; nonlinear registration algorithm; nonrigid registration; quantitative metrics; Biomedical imaging; Diffusion tensor imaging; Distortion measurement; Elasticity; Helium; Image registration; Magnetic resonance imaging; Nonlinear distortion; Optical distortion; Optical imaging; Image registration; Magnetic resonance imaging;
Conference_Titel :
Image Processing, 2007. ICIP 2007. IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4244-1437-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2007.4379562