Effects of temporal modeling on the statistical uncertainty of spatiotemporal distributions estimated directly from dynamic SPECT projections

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Artifacts can result when reconstructing a dynamic image sequence from inconsistent single photon emission computed tomography (SPECT) projections acquired by a slowly rotating gantry. The artifacts can lead to biases in kinetic parameters estimated from time-activity curves generated by overlaying volumes of interest on the images. To overcome these biases in conventional image based dynamic data analysis, we have been investigating the estimation of time-activity curves and kinetic model parameters directly from dynamic SPECT projection data by modeling the spatial and temporal distribution of the radiopharmaceutical throughout the projected field of view. In previous work we developed computationally efficient methods ... continued below

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3 pages

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Reutter, Bryan W.; Gullberg, Grant T. & Huesman, Ronald H. April 30, 2001.

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Artifacts can result when reconstructing a dynamic image sequence from inconsistent single photon emission computed tomography (SPECT) projections acquired by a slowly rotating gantry. The artifacts can lead to biases in kinetic parameters estimated from time-activity curves generated by overlaying volumes of interest on the images. To overcome these biases in conventional image based dynamic data analysis, we have been investigating the estimation of time-activity curves and kinetic model parameters directly from dynamic SPECT projection data by modeling the spatial and temporal distribution of the radiopharmaceutical throughout the projected field of view. In previous work we developed computationally efficient methods for fully four-dimensional (4-D) direct estimation of spatiotemporal distributions [1] and their statistical uncertainties [2] from dynamic SPECT projection data, using a spatial segmentation and temporal B-splines. In addition, we studied the bias that results from modeling various orders of temporal continuity and using various time samplings [1]. In the present work, we use the methods developed in [1, 2] and Monte Carlo simulations to study the effects of the temporal modeling on the statistical variability of the reconstructed distributions.

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3 pages

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INIS; OSTI as DE00785289

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  • 2001 IEEE Nuclear Science Symposium and Medical Imaging Conference, San Diego, CA (US), 11/04/2001--11/10/2001

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  • Report No.: LBNL--47795
  • Grant Number: AC03-76SF00098
  • Office of Scientific & Technical Information Report Number: 785289
  • Archival Resource Key: ark:/67531/metadc724480

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  • April 30, 2001

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  • Sept. 29, 2015, 5:31 a.m.

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  • Oct. 4, 2017, 1:25 p.m.

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Reutter, Bryan W.; Gullberg, Grant T. & Huesman, Ronald H. Effects of temporal modeling on the statistical uncertainty of spatiotemporal distributions estimated directly from dynamic SPECT projections, article, April 30, 2001; California. (digital.library.unt.edu/ark:/67531/metadc724480/: accessed November 20, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.