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Multiresolution spatiotemporal mechanical model of the heart as a prior to constrain the solution for 4D models of the heart

Journal Article · · Proceedings of SPIE - The International Society for Optical Engineering
DOI:https://doi.org/10.1117/12.2534906· OSTI ID:1603514
 [1];  [2];  [1];  [1];  [1];  [3];  [1]
  1. Univ. of California, San Francisco, CA (United States)
  2. Univ. of Washington, Seattle, WA (United States); Numeric Design Engineering, LLC, Seattle, WA (United States)
  3. Duke Univ., Durham, NC (United States)
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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. In conclusion, 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.
Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC)
Grant/Contract Number:
AC02-05CH11231
OSTI ID:
1603514
Journal Information:
Proceedings of SPIE - The International Society for Optical Engineering, Journal Name: Proceedings of SPIE - The International Society for Optical Engineering Vol. 11072; ISSN 0277-786X
Publisher:
SPIECopyright Statement
Country of Publication:
United States
Language:
English

References (5)

The Living Heart Project: A robust and integrative simulator for human heart function journal November 2014
Anatomy assisted PET image reconstruction incorporating multi-resolution joint entropy journal December 2014
Image reconstruction in higher dimensions: myocardial perfusion imaging of tracer dynamics with cardiac motion due to deformation and respiration journal October 2015
PET Image Reconstruction Using Information Theoretic Anatomical Priors journal March 2011
4D XCAT phantom for multimodality imaging research: 4D XCAT phantom for multimodality imaging research journal August 2010

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60 APPLIED LIFE SCIENCES