Title :
Ordered-subsets EM algorithm for image segmentation with application to brain MRI
Author :
Hashimoto, Aiko ; Kudo, Hiroyuiti
Author_Institution :
Doctral Program in Eng., Tsukuba Univ., Ibaraki, Japan
Abstract :
Proposes a fast expectation maximization (EM) algorithm called the ordered-subsets EM (OS-EM) algorithm for statistical model-based image segmentation. The OS-EM algorithm is based on the ordered-subsets idea which has been successfully used for image reconstruction in SPECT and PET. The OS-EM algorithm is very simple such that one needs only a few small changes in the code of the EM algorithm. The authors have applied the OS-EM algorithm to brain MRI images obtained from the MRI simulator. The results demonstrate that the OS-EM algorithm rapidly converges to a reasonable approximate solution with few iterations. Furthermore, there is no significant difference between the segmentation result with the EM algorithm and that with the OS-EM algorithm
Keywords :
biomedical MRI; brain; image reconstruction; image segmentation; medical image processing; optimisation; statistics; MRI simulator; PET; SPECT; brain MRI; iterations; magnetic resonance imaging; medical diagnostic imaging; ordered-subsets EM algorithm; statistical model-based image segmentation; Bayesian methods; Biomedical imaging; Brain modeling; Clustering algorithms; Image converters; Image reconstruction; Image segmentation; Iterative algorithms; Magnetic resonance imaging; Positron emission tomography;
Conference_Titel :
Nuclear Science Symposium Conference Record, 2000 IEEE
Conference_Location :
Lyon
Print_ISBN :
0-7803-6503-8
DOI :
10.1109/NSSMIC.2000.949249