文档介绍：Hindawi Publishing CorporationInternational Journal of Biomedical ImagingVolume 2009, Article ID718157,6pagesdoi: ArticleBlind Deblurring Reconstruction Technique withApplications in PET ImagingHeng Li,1Osama R. Mawlawi,2Ronald X. Zhu,1and Yibin Zheng31Department of Radiation Physics, The University of Texas M. D. Anderson Cancer Center, Houston, TX 77030, USA2Department of Imaging Physics, The University of Texas M. D. Anderson Cancer Center, Houston, TX 77030, USA3GE Healthcare, Waukesha, WI 53188, USACorrespondence should be addressed to Heng Li,******@Received 16 March 2009; Accepted 9 April mended by M. JiangWe developed an empirical PET model taking into account system blurring and a blind iterative reconstruction scheme thatestimates both the actual image and the point spread function of the system. Reconstruction images of high quality can be acquiredby using the proposed reconstruction technique for both synthetic and experimental data. Inthe synthetic data study, the algorithmreduces image blurring and preserves the edges without introducing extra artifacts. The localized measurement shows that theperformance of the reconstruction image improved by up to 100%. In experimental data studies, the contrast and quality ofreconstruction is substantially improved. The proposed method shows promise in tumor localization and quanti? ? 2009 Heng Li et al. This is an open access article distributed under the mons Attribution License, whichpermits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly . IntroductionIn the past decade, positron emission tomography (PET)has rapidly e a popular diagnostic imaging modal-ity for tumor detection and cancer staging. PET gener-ates three-dimensional (3D) tomographic images of thedistribution of positron-emitting radiotracers within anobject, which provides quantitative functional informa-tion in vivo. However, the physics of the