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Title: Image reconstruction in higher dimensions: myocardial perfusion imaging of tracer dynamics with cardiac motion due to deformation and respiration

Abstract

Myocardial perfusion imaging (MPI) using slow rotating large field of view cameras requires spatiotemporal reconstruction of dynamically acquired data to capture the time variation of the radiotracer concentration. In vivo, MPI contains additional degrees of freedom involving unavoidable motion of the heart due to quasiperiodic beating and the effects of respiration, which can severely degrade the quality of the images. This work develops a technique for a single photon emission computed tomography (SPECT) that reconstructs the distribution of the radiotracer concentration in the myocardium using a tensor product of different sets of basis functions that approximately describe the spatiotemporal variation of the radiotracer concentration and the motion of the heart. In this study the temporal B-spline basis functions are chosen to reflect the dynamics of the radiotracer, while the intrinsic deformation and the extrinsic motion of the heart are described by a product of a discrete set of Gaussian basis functions. Reconstruction results are presented showing the dynamics of the tracer in the myocardium as it deforms due to cardiac beating, and is displaced due to respiratory motion. These results are compared with the conventional 4D-spatiotemporal reconstruction method that models only the temporal changes of the tracer activity. The highermore » dimensional reconstruction method proposed here improves bias, yet the signal-to-noise ratio (SNR) decreases slightly due to redistribution of the counts over the cardiac-respiratory gates. Additionally, there is a trade-off between the number of gates and the number of projections per gate to achieve high contrast images.« less

Authors:
; ; ;
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
OSTI Identifier:
1378588
DOE Contract Number:  
AC02-05CH11231
Resource Type:
Journal Article
Journal Name:
Physics in Medicine and Biology
Additional Journal Information:
Journal Volume: 60; Journal Issue: 21; Journal ID: ISSN 0031-9155
Publisher:
IOP Publishing
Country of Publication:
United States
Language:
English

Citation Formats

Shrestha, Uttam M., Seo, Youngho, Botvinick, Elias H., and Gullberg, Grant T. Image reconstruction in higher dimensions: myocardial perfusion imaging of tracer dynamics with cardiac motion due to deformation and respiration. United States: N. p., 2015. Web. doi:10.1088/0031-9155/60/21/8275.
Shrestha, Uttam M., Seo, Youngho, Botvinick, Elias H., & Gullberg, Grant T. Image reconstruction in higher dimensions: myocardial perfusion imaging of tracer dynamics with cardiac motion due to deformation and respiration. United States. doi:10.1088/0031-9155/60/21/8275.
Shrestha, Uttam M., Seo, Youngho, Botvinick, Elias H., and Gullberg, Grant T. Fri . "Image reconstruction in higher dimensions: myocardial perfusion imaging of tracer dynamics with cardiac motion due to deformation and respiration". United States. doi:10.1088/0031-9155/60/21/8275. https://www.osti.gov/servlets/purl/1378588.
@article{osti_1378588,
title = {Image reconstruction in higher dimensions: myocardial perfusion imaging of tracer dynamics with cardiac motion due to deformation and respiration},
author = {Shrestha, Uttam M. and Seo, Youngho and Botvinick, Elias H. and Gullberg, Grant T.},
abstractNote = {Myocardial perfusion imaging (MPI) using slow rotating large field of view cameras requires spatiotemporal reconstruction of dynamically acquired data to capture the time variation of the radiotracer concentration. In vivo, MPI contains additional degrees of freedom involving unavoidable motion of the heart due to quasiperiodic beating and the effects of respiration, which can severely degrade the quality of the images. This work develops a technique for a single photon emission computed tomography (SPECT) that reconstructs the distribution of the radiotracer concentration in the myocardium using a tensor product of different sets of basis functions that approximately describe the spatiotemporal variation of the radiotracer concentration and the motion of the heart. In this study the temporal B-spline basis functions are chosen to reflect the dynamics of the radiotracer, while the intrinsic deformation and the extrinsic motion of the heart are described by a product of a discrete set of Gaussian basis functions. Reconstruction results are presented showing the dynamics of the tracer in the myocardium as it deforms due to cardiac beating, and is displaced due to respiratory motion. These results are compared with the conventional 4D-spatiotemporal reconstruction method that models only the temporal changes of the tracer activity. The higher dimensional reconstruction method proposed here improves bias, yet the signal-to-noise ratio (SNR) decreases slightly due to redistribution of the counts over the cardiac-respiratory gates. Additionally, there is a trade-off between the number of gates and the number of projections per gate to achieve high contrast images.},
doi = {10.1088/0031-9155/60/21/8275},
journal = {Physics in Medicine and Biology},
issn = {0031-9155},
number = 21,
volume = 60,
place = {United States},
year = {2015},
month = {10}
}

Works referenced in this record:

Reconstruction of 4-D Dynamic SPECT Images From Inconsistent Projections Using a Spline Initialized FADS Algorithm (SIFADS)
journal, January 2015

  • Abdalah, Mahmoud; Boutchko, Rostyslav; Mitra, Debasis
  • IEEE Transactions on Medical Imaging, Vol. 34, Issue 1
  • DOI: 10.1109/TMI.2014.2352033

Dynamic single photon emission computed tomography—basic principles and cardiac applications
journal, September 2010

  • Gullberg, Grant T.; Reutter, Bryan W.; Sitek, Arkadiusz
  • Physics in Medicine and Biology, Vol. 55, Issue 20
  • DOI: 10.1088/0031-9155/55/20/R01

Reconstruction of dynamic gated cardiac SPECT: Dynamic gated cardiac SPECT
journal, October 2006

  • Jin, Mingwu; Yang, Yongyi; King, Michael A.
  • Medical Physics, Vol. 33, Issue 11
  • DOI: 10.1118/1.2358201

Direct least-squares estimation of spatiotemporal distributions from dynamic SPECT projections using a spatial segmentation and temporal B-splines
journal, May 2000

  • Reutter, B. W.; Gullberg, G. T.; Huesman, R. H.
  • IEEE Transactions on Medical Imaging, Vol. 19, Issue 5
  • DOI: 10.1109/42.870254

Maximum Likelihood Reconstruction for Emission Tomography
journal, October 1982


Factor analysis with a priori knowledge - application in dynamic cardiac SPECT
journal, August 2000

  • Sitek, A.; Bella, E. V. R. Di; Gullberg, G. T.
  • Physics in Medicine and Biology, Vol. 45, Issue 9
  • DOI: 10.1088/0031-9155/45/9/314

Preclinical and Translational PET/MR Imaging
journal, May 2014

  • Wehrl, H. F.; Wiehr, S.; Divine, M. R.
  • Journal of Nuclear Medicine, Vol. 55, Issue Supplement_2
  • DOI: 10.2967/jnumed.113.129221

Investigation of dynamic SPECT measurements of the arterial input function in human subjects using simulation, phantom and human studies
journal, December 2011

  • Winant, Celeste D.; Aparici, Carina Mari; Zelnik, Yuval R.
  • Physics in Medicine and Biology, Vol. 57, Issue 2
  • DOI: 10.1088/0031-9155/57/2/375