Correction of partial volume effect in 99mTc-TRODAT-1 brain SPECT images using an edge-preserving weighted regularization

Tang Kai Yin, Nan-Tsing Chiu

研究成果: Conference contribution

摘要

The partial volume effect (PVE) due to the low resolution of SPECT in brain SPECT volumes can be modeled as a convolution of a three-dimensional point-spread function (PSF) with the underlying true radioactivity. In this paper, a deconvolution guided by the edge locations in the geometric transfer matrix (GTM) method as a weighted regularization, denoted as RGTM, was proposed to take into account both the discrepancy from the convolution and the regional-homogeneity prior information in the correction of the PVE (PVC). Two steps were conducted: GTM and then a weighted regularization. Twenty digital phantom simulations were made to compare the performance of RGTM with those of Van-Cittert deconvolution (VC), GTM, and the region-based voxel-wise correction (RBV). Clinical data from eighty-four healthy adults with 99mTc-TRODAT-1 SPECT and MRI scans were also tested. Because the proposed RGTM was good in both constant and non-constant ROIs, its robustness is better than other methods if the distribution of the underlying radioactivity is not known exactly.

原文English
主出版物標題2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017
發行者IEEE Computer Society
頁面1074-1077
頁數4
ISBN(電子)9781509011711
DOIs
出版狀態Published - 2017 六月 15
事件14th IEEE International Symposium on Biomedical Imaging, ISBI 2017 - Melbourne, Australia
持續時間: 2017 四月 182017 四月 21

出版系列

名字Proceedings - International Symposium on Biomedical Imaging
ISSN(列印)1945-7928
ISSN(電子)1945-8452

Other

Other14th IEEE International Symposium on Biomedical Imaging, ISBI 2017
國家Australia
城市Melbourne
期間17-04-1817-04-21

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

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  • 引用此

    Yin, T. K., & Chiu, N-T. (2017). Correction of partial volume effect in 99mTc-TRODAT-1 brain SPECT images using an edge-preserving weighted regularization. 於 2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017 (頁 1074-1077). [7950702] (Proceedings - International Symposium on Biomedical Imaging). IEEE Computer Society. https://doi.org/10.1109/ISBI.2017.7950702