Archivo Abierto Institucional de la Universidad Carlos III de Madrid >
Departamento de Bioingeniería e Ingeniería Aeroespacial: Bioingeniería >
DBIAB - Book Chapters >
Please use this identifier to cite or link to this item:
|Title: ||Fully 4D reconstruction of dynamic SPECT images based on the estimation of spatiotemporal basis coefficients directly from projection measurements|
|Author(s): ||Abella, Mónica|
Reutter, Bryan W.
Vaquero, Juan José
Gullberg, Grant T.
|Issued date: ||Oct-2008|
|Citation: ||2008 IEEE Nuclear Science Symposium Conference Record, Oct. 2008, p. 4604 - 4607|
|Description: ||Proceeding of: 2008 IEEE Nuclear Science Symposium Conference Record (NSS '08), Dresden, Germany, 19-25 Oct. 2008|
|Abstract: ||Quantitative kinetic analysis of dynamic cardiac SPECT data provides unique information that can enable improved discrimination between healthy and diseased tissue, compared to static imaging. Conventional kinetic parameter estimation is based on the reconstruction of a dynamic sequence of 3D images from complete projections and the fitting of the compartmental kinetic models to time-activity curves generated by overlaying regions of interest on the reconstructed sequence. The problem with this approach is that, due to the gantry motion involved and the changes in the distribution of radiopharmaceutical during the acquisition, the projection data at different angles come from ditTerent tracer distributions resulting in inconsistent projections. Images reconstructed from these inconsistent projections can contain artifacts that lead to bias in the estimated kinetic parameters. In this work we present a fully 4D reconstruction algorithm for dynamic SPECT in a parallel ray geometry. The method is based on modeling the spatial and temporal distribution of the radiotracer inside the field of view with spatial tri-linear B-spline and 4 piecewise quadratic temporal B-spline basis functions The algorithm was tested on a dynamic 99mTc-teboroxime cardiac SPECT/CT canine study.|
|Sponsor: ||This work is partially funded by the CD-TEAM Project, CENIT Program, Spanish Ministerio de Industria, with grants from the Ministerio de Educaci6n y Ciencia, projects TEC200764731 and TEC2008-06715-C02-01, and grants ROIEBOO121 and ROIHL71253 from the National Institutes of Health (NIH) and the U.S. Department of Energy under Contract No. DE-AC03-76SFOOO98.|
|Publisher version: ||http://dx.doi.org/10.1109/NSSMIC.2008.4774382|
|Rights: ||© IEEE|
|Appears in Collections:||DBIAB - Journal Articles|
DBIAB - Proceedings
DBIAB - Book Chapters
Items in E-Archivo are protected by copyright, with all rights reserved, unless otherwise indicated.