Model-based estimation with boundary side information or boundaryregularization [cardiac emission CT]
Ping-Chun Chiao; Rogers, W.L.; Fessler, J.A.; Clinthorne, N.H.; Hero, A.O.
Medical Imaging, IEEE Transactions on
Volume 13, Issue 2, Jun 1994 Page(s):227 - 234
Digital Object Identifier 10.1109/42.293915
Summary:The authors have previously developed a model-based strategy for
joint estimation of myocardial perfusion and boundaries using ECT
(emission computed tomography). They have also reported difficulties
with boundary estimation in low contrast and low count rate situations.
Here they propose using boundary side information (obtainable from high
resolution MRI and CT images) or boundary regularization to improve both
perfusion and boundary estimation in these situations. To fuse boundary
side information into the emission measurements, the authors formulate a
joint log-likelihood function to include auxiliary boundary measurements
as well as ECT projection measurements. In addition, they introduce
registration parameters to align auxiliary boundary measurements with
ECT measurements and jointly estimate these parameters with other
parameters of interest from the composite measurements. In simulated PET
O-15 water myocardial perfusion studies using a simplified model, the
authors show that the joint estimation improves perfusion estimation
performance and gives boundary alignment accuracy of <0.5 mm even at
0.2 million counts. They implement boundary regularization through
formulating a penalized log-likelihood function. They also demonstrate
in simulations that simultaneous regularization of the epicardial
boundary and myocardial thickness gives comparable perfusion estimation
accuracy with the use of boundary side information
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