Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Modeling Dynamic PET-SPECT Studies in the Wavelet Domain
59
Zitationen
6
Autoren
2000
Jahr
Abstract
This work develops a theoretical framework and corresponding algorithms for the modeling of dynamic PET-SPECT studies both in time and space. The problem of estimating the spatial dimension is solved by applying the wavelet transform to each scan of the dynamic sequence and then performing the kinetic modeling and statistical analysis in the wavelet domain. On reconstruction through the inverse wavelet transform, one obtains parametric images that are consistent estimates of the spatial patterns of the kinetic parameter of interest. The theoretical setup allows the use of linear techniques currently used in PET-SPECT for kinetic analysis. The method is applied to artificial and real data sets. The application to dynamic PET-SPECT studies was performed both for validation purposes, when the spatial patterns are known, and for illustration of the advantages offered by the technique in case of tracers with an unknown pattern of distribution.
Ähnliche Arbeiten
New response evaluation criteria in solid tumours: Revised RECIST guideline (version 1.1)
2008 · 29.276 Zit.
Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
2006 · 15.745 Zit.
Image processing with ImageJ
2004 · 11.904 Zit.
Fast robust automated brain extraction
2002 · 10.803 Zit.
Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images
2002 · 10.628 Zit.