A List-Mode OSEM-Based Attenuation and Scatter Compensation Method for SPECT

Reliable attenuation and scatter compensation (ASC) is a pre-requisite for quantification and beneficial for visual interpretation tasks in SPECT. In this paper, we develop a reconstruction method that uses the entire SPECT emission data, i.e. data in both the photopeak and scatter windows, acquired...

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Vydáno v:Proceedings (International Symposium on Biomedical Imaging) Ročník 2020; s. 646 - 650
Hlavní autoři: Rahman, Md Ashequr, Laforest, Richard, Jha, Abhinav K.
Médium: Konferenční příspěvek Journal Article
Jazyk:angličtina
Vydáno: United States IEEE 01.04.2020
Témata:
Attenuation and scatter compensation
Brain
List-mode data
Parkinson's disease
Reconstruction
SPECT
Attenuation and scatter compensation
Reconstruction
Brain
List-mode data
Parkinson’s disease
SPECT
ISSN:1945-7928, 1945-8452
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Shrnutí:Reliable attenuation and scatter compensation (ASC) is a pre-requisite for quantification and beneficial for visual interpretation tasks in SPECT. In this paper, we develop a reconstruction method that uses the entire SPECT emission data, i.e. data in both the photopeak and scatter windows, acquired in list-mode format and including the energy attribute of the detected photon, to perform ASC. We implemented a GPU-based version of this method using an ordered subsets expectation maximization (OSEM) algorithm. The method was objectively evaluated using realistic simulation studies on the task of estimating uptake in the striatal regions of the brain in a 2-D dopamine transporter (DaT)-scan SPECT study. We observed that inclusion of data from the scatter window and using list-mode data yielded improved quantification compared to using data only from the photopeak window or using binned data. These results motivate further development of list-mode-based ASC methods that include scatter-window data for SPECT.
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ISSN:1945-7928
1945-8452
DOI:10.1109/ISBI45749.2020.9098333