@inproceedings{4ac549037334493497ce5abc1e63f11f,
title = "A List-Mode OSEM-Based Attenuation and Scatter Compensation Method for SPECT",
abstract = "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.",
keywords = "Attenuation and scatter compensation, Brain, List-mode data, Parkinson's disease, Reconstruction, SPECT",
author = "Rahman, {Md Ashequr} and Richard Laforest and Jha, {Abhinav K.}",
note = "Funding Information: This work was financially supported by NIH R21 EB024647 (Trailblazer award) and an NVIDIA GPU grant. Funding Information: This work was financially supported by NIH R21 EB024647 (Trailblazer award) and by an NVIDIA GPU grant. We also thank the Washington University Center for High Performance Computing for providing computational resources for this project. The center is partially funded by NIH grants 1S10RR022984-01A1 and 1S10OD018091-01. Publisher Copyright: {\textcopyright} 2020 IEEE.; 17th IEEE International Symposium on Biomedical Imaging, ISBI 2020 ; Conference date: 03-04-2020 Through 07-04-2020",
year = "2020",
month = apr,
doi = "10.1109/ISBI45749.2020.9098333",
language = "English",
series = "Proceedings - International Symposium on Biomedical Imaging",
publisher = "IEEE Computer Society",
pages = "646--650",
booktitle = "ISBI 2020 - 2020 IEEE International Symposium on Biomedical Imaging",
}