TY - GEN UR - http://lib.ugent.be/catalog/pug01:2034392 ID - pug01:2034392 LA - eng TI - On structured sparsity and selected applications in tomographic imaging PY - 2011 SN - 9780819487483 SN - 0277-786X PB - Bellingham AU - Pizurica, Aleksandra AU - Aelterman, Jan TW07 002002158509 AU - Bai, Funing UGent 000100714490 802001448972 AU - Vanloocke, Sam 002002079895 AU - Luong, Hiep TW07 001998225561 AU - Goossens, Bart TW07 002001321780 802000053889 0000-0002-1666-5483 AU - Philips, Wilfried AU - Papadakis, Manos editor AU - Van De Ville, Dimitri editor AU - Goyal, Vivek K editor AB - This work explores the potentials of structure encoding in sparse tomographic reconstructions. We are encoding spatial structure with Markov Random Field (MRF) models and employ it within Magnetic Resonance Imaging (MRI) and Quantitative Microwave Tomography. We illustrate thereby also different ways of MRF modelling: as a discrete, binary field imposed on hidden labels and as a continuous model imposed on the observable field. In case of MRI, the analyzed approach is a straightforward extension of sparse MRI methods and is related to the so-called LaMP (Lattice Matching Pursuit) algorithm, but with a number of differences. In case of Microwave Tomography, we give another interpretation of structured sparsity using much different, but also effective approach. Thorough experiments demonstrate clear advantages of MRF based structure encoding in both cases and motivate strongly further development. ER -Download RIS file
| 00000nam^a2200301^i^4500 | |||
| 001 | 2034392 | ||
| 005 | 20180813141338.0 | ||
| 008 | 120215s2011------------------------eng-- | ||
| 020 | a 9780819487483 | ||
| 022 | a 0277-786X | ||
| 024 | a 000297583100036 2 wos | ||
| 024 | a 1854/LU-2034392 2 handle | ||
| 024 | a 10.1117/12.893784 2 doi | ||
| 040 | a UGent | ||
| 245 | a On structured sparsity and selected applications in tomographic imaging | ||
| 260 | a Bellingham, WA, USA b SPIE c 2011 | ||
| 520 | a This work explores the potentials of structure encoding in sparse tomographic reconstructions. We are encoding spatial structure with Markov Random Field (MRF) models and employ it within Magnetic Resonance Imaging (MRI) and Quantitative Microwave Tomography. We illustrate thereby also different ways of MRF modelling: as a discrete, binary field imposed on hidden labels and as a continuous model imposed on the observable field. In case of MRI, the analyzed approach is a straightforward extension of sparse MRI methods and is related to the so-called LaMP (Lattice Matching Pursuit) algorithm, but with a number of differences. In case of Microwave Tomography, we give another interpretation of structured sparsity using much different, but also effective approach. Thorough experiments demonstrate clear advantages of MRF based structure encoding in both cases and motivate strongly further development. | ||
| 598 | a P1 | ||
| 100 | a Pizurica, Aleksandra u TW07 0 801001580450 | ||
| 700 | a Aelterman, Jan u TW07 0 002002158509 0 802000208079 | ||
| 700 | a Bai, Funing u UGent 0 000100714490 0 802001448972 0 972693655240 | ||
| 700 | a Vanloocke, Sam 0 002002079895 0 802000712782 | ||
| 700 | a Luong, Hiep u TW07 0 001998225561 0 801001749087 | ||
| 700 | a Goossens, Bart u TW07 0 002001321780 0 802000053889 0 0000-0002-1666-5483 | ||
| 700 | a Philips, Wilfried u TW07 0 801000739176 | ||
| 700 | a Papadakis, Manos e editor | ||
| 700 | a Van De Ville, Dimitri e editor | ||
| 700 | a Goyal, Vivek K e editor | ||
| 650 | a Technology and Engineering | ||
| 653 | a Markov Random Field | ||
| 653 | a Magnetic Resonance Imaging | ||
| 653 | a RECONSTRUCTION | ||
| 653 | a REGRESSION | ||
| 653 | a SIGNAL RECOVERY | ||
| 653 | a INVERSE PROBLEMS | ||
| 653 | a ROBUST | ||
| 653 | a MODEL | ||
| 653 | a ALGORITHMS | ||
| 653 | a MRI | ||
| 653 | a structure | ||
| 653 | a sparsity | ||
| 653 | a Microwave Tomography | ||
| 773 | t Conference on Wavelets and Sparsity XIV g Proc. SPIE Int. Soc. Opt. Eng. 2011. SPIE. 8138 p.81381D-1-81381D-12 q 8138:<81381D-1 | ||
| 856 | 3 Full Text u https://biblio.ugent.be/publication/2034392/file/2034399 z [ugent] y pizurica-SPIE2011-final.pdf | ||
| 920 | a confcontrib | ||
| 852 | x IB b IBBT | ||
| 922 | a UGENT-EA | ||
| 852 | x EA b TW07 | ||
| 922 | a UGENT-EA | ||
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