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Multiresolution spatiotemporal mechanical model of the heart as a prior to constrain the solution for 4D models of the heart
Author(s): Grant T. Gullberg; Alexander I. Veress; Uttam M. Shrestha; Jing Liu; Karen Ordovas; W. Paul Segars; Youngho Seo
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Paper Abstract

In several nuclear cardiac imaging applications (SPECT and PET), images are formed by reconstructing tomographic data using an iterative reconstruction algorithm with corrections for physical factors involved in the imaging detection process and with corrections for cardiac and respiratory motion. The physical factors are modeled as coefficients in the matrix of a system of linear equations and include attenuation, scatter, and spatially varying geometric response. The solution to the tomographic problem involves solving the inverse of this system matrix. This requires the design of an iterative reconstruction algorithm with a statistical model that best fits the data acquisition. The most appropriate model is based on a Poisson distribution. Using Bayes Theorem, an iterative reconstruction algorithm is designed to determine the maximum a posteriori estimate of the reconstructed image with constraints that maximizes the Bayesian likelihood function for the Poisson statistical model. The a priori distribution is formulated as the joint entropy (JE) to measure the similarity between the gated cardiac PET image and the cardiac MRI cine image modeled as a FE mechanical model. The developed algorithm shows the potential of using a FE mechanical model of the heart derived from a cardiac MRI cine scan to constrain solutions of gated cardiac PET images.

Paper Details

Date Published: 28 May 2019
PDF: 5 pages
Proc. SPIE 11072, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 110721J (28 May 2019); doi: 10.1117/12.2534906
Show Author Affiliations
Grant T. Gullberg, Univ. of California, San Francisco (United States)
Alexander I. Veress, Univ. of Washington (United States)
Numeric Design Engineering, LLC (United States)
Uttam M. Shrestha, Univ. of California, San Francisco (United States)
Jing Liu, Univ. of California, San Francisco (United States)
Karen Ordovas, Univ. of California, San Francisco (United States)
W. Paul Segars, Duke Univ. (United States)
Youngho Seo, Univ. of California, San Francisco (United States)


Published in SPIE Proceedings Vol. 11072:
15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine
Samuel Matej; Scott D. Metzler, Editor(s)

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