A moving target evaluating algorithms for removing MRI motion artifacts

Author

Smith, M. ; Zeng, J. ; Crawley, A.

Author_Institution

Dept. of Electr. & Comput. Eng., Calgary Univ., Alta., Canada

Volume

3

fYear

1994

fDate

13-16 Nov 1994

Firstpage

45

Abstract

Magnetic resonance images may contain artifacts resulting from periodic movement such as cardiac and respiratory motion. The authors present some preliminary results of a new post-processing approach to the removal of motion artifacts. It is based around the TERA autoregressive moving average modeling algorithm. In addition they discuss the problems associated with generating a useful quantitative comparison between this new algorithm and the post processing techniques of Mitsa et al. (1990) and Hedley and Yan (1992). These problems are representative of those experienced by any researcher attempting to report on a new algorithm in an established image processing field

Keywords

autoregressive moving average processes; biomedical NMR; cardiology; interference suppression; medical image processing; motion compensation; MRI motion artifacts; TERA autoregressive moving average modeling algorithm; cardiac motion; image processing field; magnetic resonance images; moving target evaluating algorithms; periodic movement; post-processing approach; respiratory motion; Autoregressive processes; Biomedical engineering; Biomedical imaging; Councils; Image processing; Imaging phantoms; Kernel; Magnetic resonance; Magnetic resonance imaging; Motion estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference

Conference_Location

Austin, TX

Print_ISBN

0-8186-6952-7

Type

conf

DOI

10.1109/ICIP.1994.413891

Filename

413891