Expectation maximization SPECT reconstruction with a content-adaptive singularity-based mesh-domain image model
| Autor: | Xiaofei Hu, Edward D. Lipson, Yao Lu, David Feiglin, Yuesheng Xu, Andrzej Krol, Lixin Shen, Hongwei Ye, Levon Vogelsang |
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| Rok vydání: | 2008 |
| Předmět: |
medicine.diagnostic_test
business.industry Delaunay triangulation ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Wavelet transform Single-photon emission computed tomography Imaging phantom Image (mathematics) Singularity Expectation–maximization algorithm medicine Computer vision Artificial intelligence Representation (mathematics) business ComputingMethodologies_COMPUTERGRAPHICS Mathematics |
| Zdroj: | SPIE Proceedings. |
| ISSN: | 0277-786X |
| DOI: | 10.1117/12.773082 |
| Popis: | To improve the speed and quality of ordered-subsets expectation-maximization (OSEM) SPECT reconstruction, we have implemented a content-adaptive, singularity-based, mesh-domain, image model (CASMIM) with an accurate algorithm for estimation of the mesh-domain system matrix. A preliminary image, used to initialize CASMIM reconstruction, was obtained using pixel-domain OSEM. The mesh-domain representation of the image was produced by a 2D wavelet transform followed by Delaunay triangulation to obtain joint estimation of nodal locations and their activity values. A system matrix with attenuation compensation was investigated. Digital chest phantom SPECT was simulated and reconstructed. The quality of images reconstructed with OSEM-CASMIM is comparable to that from pixel-domain OSEM, but images are obtained five times faster by the CASMIM method. |
| Databáze: | OpenAIRE |
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