Ordered subsets convex algorithm for 3D terahertz transmission tomography
| العنوان: | Ordered subsets convex algorithm for 3D terahertz transmission tomography |
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| المؤلفون: | Benoit Recur, J. Bou Sleiman, Andrew Kingston, Jean-Paul Guillet, Hugo Balacey, Jean-Baptiste Perraud, Patrick Mounaix |
| المساهمون: | Department of Applied Mathematics (Canberra), Australian National University (ANU), Laboratoire Ondes et Matière d'Aquitaine (LOMA), Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS), Noctylio SAS, Laboratoire de l'intégration, du matériau au système (IMS), Université Sciences et Technologies - Bordeaux 1-Institut Polytechnique de Bordeaux-Centre National de la Recherche Scientifique (CNRS), ANR-11-SECU-0010,InPoSec,Integrated Postal Supply Chain Security(2011) |
| المصدر: | Optics Express Optics Express, Optical Society of America-OSA Publishing, 2014, 22 (19), pp.23299-23309. ⟨10.1364/OE.22.023299⟩ |
| بيانات النشر: | HAL CCSD, 2014. |
| سنة النشر: | 2014 |
| مصطلحات موضوعية: | (120.5800) Scanners, Terahertz radiation, Gaussian, Physics::Optics, Image processing, 02 engineering and technology, Iterative reconstruction, 01 natural sciences, 010309 optics, symbols.namesake, Optics, 0103 physical sciences, Image Processing, Computer-Assisted, Humans, (170.3010) Image reconstruction techniques, Probability, Physics, (110.6795) Terahertz imaging, [PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics], Tomographic reconstruction, Phantoms, Imaging, Tomography, X-Ray, business.industry, Detector, (100.6890) Three-dimensional image processing, 021001 nanoscience & nanotechnology, (110.6955) Tomographic imaging, Atomic and Molecular Physics, and Optics, symbols, Continuous wave, OCIS codes: 110.6795, 110.6955, 100.6890, 170.3010, 120.5800, Tomography, Tomography, X-Ray Computed, 0210 nano-technology, business, Algorithms |
| الوصف: | International audience; We investigate in this paper a new reconstruction method in order to perform 3D Terahertz (THz) tomography using a continuous wave acquisition setup in transmission mode. This method is based on the Maximum Likelihood for TRansmission tomography (ML-TR) first developed for X-ray imaging. We optimize the Ordered Subsets Convex (OSC) implementation of the ML-TR by including the Gaussian propagation model of THz waves and take into account the intensity distributions of both blank calibration scan and dark-field measured on THz detectors. THz ML-TR reconstruction quality and accuracy are discussed and compared to other tomographic reconstructions. |
| اللغة: | English |
| تدمد: | 1094-4087 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac0d1a256c437e2644d7e837ffb026f9 https://hal.archives-ouvertes.fr/hal-01066999/document |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....ac0d1a256c437e2644d7e837ffb026f9 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 10944087 |
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