Correction of geometric distortions in EP images using nonrigid registration to corresponding anatomic images

Darko Skerl; Shiyan Pan; Rui Li; J. Michael Fitzpatrick; Mitchell H. Parks M.D.; Peter R. Martin; Victoria L. Morgan; Benoit M. Dawant

doi:10.1117/12.431140

3 July 2001 Correction of geometric distortions in EP images using nonrigid registration to corresponding anatomic images

Darko Skerl, Shiyan Pan, Rui Li, J. Michael Fitzpatrick, Mitchell H. Parks M.D., Peter R. Martin, Victoria L. Morgan, Benoit M. Dawant

Author Affiliations +

Proceedings Volume 4322, Medical Imaging 2001: Image Processing; (2001) https://doi.org/10.1117/12.431140
Event: Medical Imaging 2001, 2001, San Diego, CA, United States

Abstract

The spatial resolution of echo planar image (EPI) data acquired for functional MRI (fMRI) studies is low. To facilitate their interpretation, conventional T1-weighted anatomical images are often acquired prior to the acquisition of the EP images. T1-weighted and EP images are then registered and activation patterns computed from the EP images are superimposed on the anatomic images. Registration between the anatomic and the EP images is required to compensate for patient motion between the acquisitions and for geometric distortions affecting EP images. Recently, methods have been proposed to register EP and anatomic images using non-rigid registration techniques. In these approaches, the transformation is parameterized using splines. Here, we propose an alternative solution to this problem based on optical flow with non-stationary stiffness constraint. The approach we propose also includes several preprocessing steps such as automatic skull removal and intensity remapping. Results obtained with eight studies on normal volunteers are presented.

Citation Download Citation

Darko Skerl, Shiyan Pan, Rui Li, J. Michael Fitzpatrick, Mitchell H. Parks M.D., Peter R. Martin, Victoria L. Morgan, and Benoit M. Dawant "Correction of geometric distortions in EP images using nonrigid registration to corresponding anatomic images", Proc. SPIE 4322, Medical Imaging 2001: Image Processing, (3 July 2001); https://doi.org/10.1117/12.431140

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