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Image reconstruction for positron emission tomography using fuzzy nonlinear anisotropic diffusion penalty.
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In: ISSN: 0140-0118 ; EISSN: 1741-0444 ; Medical and Biological Engineering and Computing ; https://www.hal.inserm.fr/inserm-00183785 ; Medical and Biological Engineering and Computing, Springer Verlag, 2006, 44 (11), pp.983-97. ⟨10.1007/s11517-006-0115-4⟩ (2006)
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Abstract:
International audience ; Iterative algorithms such as maximum likelihood-expectation maximization (ML-EM) become the standard for the reconstruction in emission computed tomography. However, such algorithms are sensitive to noise artifacts so that the reconstruction begins to degrade when the number of iterations reaches a certain value. In this paper, we have investigated a new iterative algorithm for penalized-likelihood image reconstruction that uses the fuzzy nonlinear anisotropic diffusion (AD) as a penalty function. The proposed algorithm does not suffer from the same problem as that of ML-EM algorithm, and it converges to a low noisy solution even if the iteration number is high. The fuzzy reasoning instead of a nonnegative monotonically decreasing function was used to calculate the diffusion coefficients which control the whole diffusion. Thus, the diffusion strength is controlled by fuzzy rules expressed in a linguistic form. The proposed method makes use of the advantages of fuzzy set theory in dealing with uncertain problems and nonlinear AD techniques in removing the noise as well as preserving the edges. Quantitative analysis shows that the proposed reconstruction algorithm is suitable to produce better reconstructed images when compared with ML-EM, ordered subsets EM (OS-EM), Gaussian-MAP, MRP, TV-EM reconstructed images.
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Keyword:
[SDV.IB]Life Sciences [q-bio]/Bioengineering; Computer-Assisted; expectation maximization; Fuzzy; Image reconstruction; Imaging; Maximum likelihood; MESH: Algorithms; MESH: Anisotropy; MESH: Diffusion; MESH: Fuzzy Logic; MESH: Humans; MESH: Image Processing; MESH: Phantoms; MESH: Positron-Emission Tomography; ML-EM; Nonlinear anisotropic diffusion; PET; Positron Emission Tomography
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URL: https://www.hal.inserm.fr/inserm-00183785/document
https://www.hal.inserm.fr/inserm-00183785/file/MBEC.pdf
https://www.hal.inserm.fr/inserm-00183785
https://doi.org/10.1007/s11517-006-0115-4
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| 166 |
A three-dimensional computed tomographic analysis of the cervical spine in unoperated infants with cleft lip and palate
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| 167 |
Word and nonword repetition in bilingual subjects: a PET study.
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In: Symplectic Elements at Oxford ; Europe PubMed Central ; PubMed (http://www.ncbi.nlm.nih.gov/pubmed/) ; Web of Science (Lite) (http://apps.webofknowledge.com/summary.do) ; Scopus (http://www.scopus.com/home.url) ; CrossRef (2006)
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| 168 |
How reading differs from object naming at the neuronal level
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In: NEUROIMAGE , 29 (2) 643 - 648. (2006) (2006)
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| 178 |
within-category change in consonant^vowel syllable
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In: http://spin.ecn.purdue.edu/fmri/PDFLibrary/SittiprapapornW_NR_2005_16_1513_1518.pdf (2005)
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