Agradecimientos:
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.
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 reconstrQuantitative 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.[+][-]
