Model-based estimation for dynamic cardiac studies using ECT

P C Chiao; W L Rogers; N H Clinthorne; J A Fessler; A O Hero

doi:10.1109/42.293914

Model-based estimation for dynamic cardiac studies using ECT

IEEE Trans Med Imaging. 1994;13(2):217-26. doi: 10.1109/42.293914.

Authors

P C Chiao¹, W L Rogers, N H Clinthorne, J A Fessler, A O Hero

Affiliation

¹ Div. of Nucl. Med., Michigan Univ., Ann Arbor, MI.

PMID: 18218498
DOI: 10.1109/42.293914

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.