標題: Accurate 3D reconstruction by a new PDS-OSEM algorithm for HRRT
作者: Chen, Tai-Been
Lu, Henry Horng-Shing
Kim, Hang-Keun
Son, Young-Don
Cho, Zang-Hee
統計學研究所
Institute of Statistics
關鍵字: HART;PET;OP-OSEM;PDS-OSEM;Time Activity Curve;Average Sum of Square Error
公開日期: 1-三月-2014
摘要: State-of-the-art high resolution research tomography (HRRT) provides high resolution PET images with full 3D human brain scanning. But, a short time frame in dynamic study causes many problems related to the low counts in the acquired data. The PDS-OSEM algorithm was proposed to reconstruct the HRRT image with a high signal-to-noise ratio that provides accurate information for dynamic data. The new algorithm was evaluated by simulated image, empirical phantoms, and real human brain data. Meanwhile, the time activity curve was adopted to validate a reconstructed performance of dynamic data between PDS-OSEM and OP-OSEM algorithms. According to simulated and empirical studies, the PDS-OSEM algorithm reconstructs images with higher quality, higher accuracy, less noise, and less average sum of square error than those of OP-OSEM. The presented algorithm is useful to provide quality images under the condition of low count rates in dynamic studies with a short scan time. (C) 2013 Elsevier Ltd. All rights reserved.
URI: http://dx.doi.org/10.1016/j.radphyschem.2013.09.006
http://hdl.handle.net/11536/23571
ISSN: 0969-806X
DOI: 10.1016/j.radphyschem.2013.09.006
期刊: RADIATION PHYSICS AND CHEMISTRY
Volume: 96
Issue: 
起始頁: 107
結束頁: 114
顯示於類別:期刊論文


文件中的檔案:

  1. 000330157400018.pdf