Application of Blind Deblurring Reconstruction Technique to SPECT Imaging
An SPECT image can be approximated as the convolution of the ground truth spatial radioactivity with the system point spread function (PSF). The PSF of an SPECT system is determined by the combined effect of several factors, including the gamma camera PSF, scattering, attenuation, and collimator res...
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| Format: | Article |
| Language: | English |
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Wiley
2007-01-01
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| Series: | International Journal of Biomedical Imaging |
| Online Access: | http://dx.doi.org/10.1155/2007/63750 |
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| _version_ | 1849307677984817152 |
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| author | Heng Li Yibin Zheng |
| author_facet | Heng Li Yibin Zheng |
| author_sort | Heng Li |
| collection | DOAJ |
| description | An SPECT image can be approximated as the convolution of the ground truth spatial radioactivity with the system point spread function (PSF). The PSF of an SPECT system is determined by the combined effect of several factors, including the gamma camera PSF, scattering, attenuation, and collimator response. It is hard to determine the SPECT system PSF analytically, although it may be measured experimentally. We formulated a blind deblurring reconstruction algorithm to estimate both the spatial radioactivity distribution and the system PSF from the set of blurred projection images. The algorithm imposes certain spatial-frequency domain constraints on the reconstruction volume and the PSF and does
not otherwise assume knowledge of the PSF. The algorithm alternates between two iterative update sequences that correspond to the PSF and radioactivity estimations, respectively. In simulations and a small-animal study, the algorithm reduced image blurring and preserved the edges without introducing extra artifacts. The localized measurement shows that the reconstruction efficiency of SPECT images improved more than 50% compared to conventional expectation maximization (EM) reconstruction. In experimental studies, the contrast and quality of reconstruction was substantially
improved with the blind deblurring reconstruction algorithm. |
| format | Article |
| id | doaj-art-21982216fc9d4257a1023e2bf0cd6a4c |
| institution | Kabale University |
| issn | 1687-4188 1687-4196 |
| language | English |
| publishDate | 2007-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Biomedical Imaging |
| spelling | doaj-art-21982216fc9d4257a1023e2bf0cd6a4c2025-08-20T03:54:42ZengWileyInternational Journal of Biomedical Imaging1687-41881687-41962007-01-01200710.1155/2007/6375063750Application of Blind Deblurring Reconstruction Technique to SPECT ImagingHeng Li0Yibin Zheng1Department of Radiation Physics, MD Anderson Cancer Center, University of Texas, Houston, TX 77030, USADepartment of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA 22904, USAAn SPECT image can be approximated as the convolution of the ground truth spatial radioactivity with the system point spread function (PSF). The PSF of an SPECT system is determined by the combined effect of several factors, including the gamma camera PSF, scattering, attenuation, and collimator response. It is hard to determine the SPECT system PSF analytically, although it may be measured experimentally. We formulated a blind deblurring reconstruction algorithm to estimate both the spatial radioactivity distribution and the system PSF from the set of blurred projection images. The algorithm imposes certain spatial-frequency domain constraints on the reconstruction volume and the PSF and does not otherwise assume knowledge of the PSF. The algorithm alternates between two iterative update sequences that correspond to the PSF and radioactivity estimations, respectively. In simulations and a small-animal study, the algorithm reduced image blurring and preserved the edges without introducing extra artifacts. The localized measurement shows that the reconstruction efficiency of SPECT images improved more than 50% compared to conventional expectation maximization (EM) reconstruction. In experimental studies, the contrast and quality of reconstruction was substantially improved with the blind deblurring reconstruction algorithm.http://dx.doi.org/10.1155/2007/63750 |
| spellingShingle | Heng Li Yibin Zheng Application of Blind Deblurring Reconstruction Technique to SPECT Imaging International Journal of Biomedical Imaging |
| title | Application of Blind Deblurring Reconstruction Technique to SPECT Imaging |
| title_full | Application of Blind Deblurring Reconstruction Technique to SPECT Imaging |
| title_fullStr | Application of Blind Deblurring Reconstruction Technique to SPECT Imaging |
| title_full_unstemmed | Application of Blind Deblurring Reconstruction Technique to SPECT Imaging |
| title_short | Application of Blind Deblurring Reconstruction Technique to SPECT Imaging |
| title_sort | application of blind deblurring reconstruction technique to spect imaging |
| url | http://dx.doi.org/10.1155/2007/63750 |
| work_keys_str_mv | AT hengli applicationofblinddeblurringreconstructiontechniquetospectimaging AT yibinzheng applicationofblinddeblurringreconstructiontechniquetospectimaging |