Model-based estimation for dynamic cardiac studies using ECT
Ping-Chun Chiao
Rogers, W.L.
Clinthorne, N.H.
Fessler, J.A.
Hero, A.O.
Div. of Nucl. Med., Michigan Univ., Ann Arbor, MI ;
This paper appears in: Medical Imaging, IEEE Transactions on
Publication Date: Jun 1994
Volume: 13,
Issue: 2
On page(s): 217-226
ISSN: 0278-0062
References Cited: 26
CODEN: ITMID4
INSPEC Accession Number: 4737132
Digital Object Identifier: 10.1109/42.293914
Current Version Published: 2002-08-06
Abstract
The authors develop a strategy for joint estimation of
physiological parameters and myocardial boundaries using ECT (emission
computed tomography). They construct an observation model to relate
parameters of interest to the projection data and to account for limited
ECT system resolution and measurement noise. The authors then use a
maximum likelihood (ML) estimator to jointly estimate all the parameters
directly from the projection data without reconstruction of intermediate
images. They also simulate myocardial perfusion studies based on a
simplified heart model to evaluate the performance of the model-based
joint ML estimator and compare this performance to the Cramer-Rao lower
bound. Finally, the authors discuss model assumptions and potential uses
of the joint estimation strategy
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