TY - GEN
T1 - The correction of EPI-induced geometric distortions and their evaluation
AU - Guozhi, Tao
AU - Renjie, He
AU - Poonawalla, Aziz H.
AU - Narayana, Ponnada A.
PY - 2006
Y1 - 2006
N2 - 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.
AB - 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.
KW - Image registration
KW - Magnetic resonance imaging
UR - https://www.scopus.com/pages/publications/48149108581
UR - https://www.scopus.com/pages/publications/48149108581#tab=citedBy
U2 - 10.1109/ICIP.2007.4379562
DO - 10.1109/ICIP.2007.4379562
M3 - Conference contribution
AN - SCOPUS:48149108581
SN - 1424414377
SN - 9781424414376
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - VI225-VI228
BT - 2007 IEEE International Conference on Image Processing, ICIP 2007 Proceedings
T2 - 14th IEEE International Conference on Image Processing, ICIP 2007
Y2 - 16 September 2007 through 19 September 2007
ER -