Title :
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
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;
Conference_Titel :
Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
Conference_Location :
Austin, TX
Print_ISBN :
0-8186-6952-7
DOI :
10.1109/ICIP.1994.413891
