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An EM algorithm for dynamic SPECT

delete1999-03-01
delete30
delete
OA
AI
H
Heinz H. Bauschke
D
Dominikus Noll *
A
A. Ćeller
J
Jonathan M. Borwein
DOI：10.1109/42.764899delete
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Abstract

Abstract

En 中文
In this paper me present two variants of the EM algorithm for dynamic SPECT imaging. A version based on compartmental modeling which fits a sum of exponentials and a more general approach allowing for arbitrary decaying activities. The underlying probabilistic models are discussed and the incomplete and complete data spaces are shown to be physically meaningful, We indicate that the second method, leading to a convex program in the M step, is easier to treat numerically and we present a possible numerical approach. Some preliminary numerical tests indicating the feasibility of the method are included.
Keywords:
EXPECTATION-MAXIMIZATION ALGORITHM
POSITRON EMISSION TOMOGRAPHY
TRANSMISSION MEASUREMENTS
ATTENUATION COMPENSATION
CANINE MODEL
LINE SOURCE
RECONSTRUCTION
LIKELIHOOD
MAPS
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

IEEE Transactions on Medical Imaging cover
IEEE Transactions on Medical Imaging
IF:
9.8
Papers:
6.2K
Citations:
3.7W

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