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Attenuation correction for PET using a hidden Markov model based segmentation method

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3 Author(s)
Anderson, J.M.M. ; Florida Univ., Gainesville, FL, USA ; Mair, B.A. ; Rao, M.

Presents an attenuation correction method where attenuation images are first segmented and then attenuation density values are assigned to the various regions. A key idea behind the segmentation component of the method is that the attenuation image is viewed as a realization of a system that obeys a hidden Markov model. Some advantages of the segmentation method is that it incorporates a priori anatomical information, accounts for the statistical fluctuations of the attenuation density reconstruction algorithm, requires no thresholds, and has low computational expense

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Nuclear Science Symposium, 1999. Conference Record. 1999 IEEE  (Volume:3 )

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