%0 Conference Proceedings %T A blob-based tomographic reconstruction of 3D coronary trees from rotational x-ray angiography %+ Laboratoire Traitement du Signal et de l'Image (LTSI) %+ Laboratory of Image Science and Technology [Nanjing] (LIST) %+ Centre de Recherche en Information Biomédicale sino-français (CRIBS) %A Zhou, Jian %A Bousse, Alexandre %A Yang, Guanyu %A Bellanger, Jean-Jacques %A Luo, Limin, M. %A Toumoulin, Christine %A Coatrieux, Jean-Louis %Z ISBN : 9780819470973 %< avec comité de lecture %( Proceedings of SPIE Medical Imaging 2008: Physics of Medical Imaging. %B Medical Imaging 2008: Physics of Medical Imaging %C San Diego, CA, United States %Y SPIE %I SPIE %3 Proceedings of SPIE Vol. 6913 edited by Jiang Hsieh; Ehsan Samei %V 6913 %P 69132N-12 %8 2008-02-18 %D 2008 %R 10.1117/12.769478 %K cone-beam %K coronary %K reconstruction %K X-ray %K angiography %K blob %K maximum a posteriori %K expectation- maximization %Z Life Sciences [q-bio]/Bioengineering %Z Life Sciences [q-bio]/Bioengineering/Imaging %Z Engineering Sciences [physics]/Signal and Image processing %Z Statistics [stat]/Applications [stat.AP] %Z Computer Science [cs]/Medical Imaging %Z Computer Science [cs]/Modeling and Simulation %Z Computer Science [cs]/Graphics [cs.GR] %Z Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system %Z Computer Science [cs]/Signal and Image ProcessingConference papers %X A method is proposed for a 3D reconstruction of coronary networks from rotational projections that departs from motion-compensated approaches. It deals with multiple views extracted from a time-stamped image sequence through ECG gating. This statistics-based vessel reconstruction method relies on a new imaging model by considering both the effect of background tissues and the image representation using spherically-symmetric basis functions, also called 'blobs'. These blobs have a closed analytical expression for the X-ray transform, which makes easier to compute a cone-beam projection than a voxel-based description. A Bayesian maximum a posteriori (MAP) estimation is used with a Poisson distributed projection data instead of the Gaussian approximation often used in tomography reconstruction. A heavy-tailed distribution is proposed as image prior to take into account the sparse nature of the object of interest. The optimization is performed by an expectation-maximization like (EM) block iterative algorithm which offers a fast convergence and a sound introduction of the non-negativity constraint for vessel attenuation coefficients. Simulations are performed using a model of coronary tree extracted from multidetector CT scanner and a performance study is conducted. They point out that, even with severe angular undersampling (6 projections over 110 degrees for instance) and without introducing a prior model of the object, significant results can be achieved. %G English %2 https://inserm.hal.science/inserm-00335244/document %2 https://inserm.hal.science/inserm-00335244/file/ang_blob_spie_final-2008.pdf %L inserm-00335244 %U https://inserm.hal.science/inserm-00335244 %~ INSERM %~ UNIV-RENNES1 %~ LTSI %~ CARDIO %~ CRIBS %~ METRIQ %~ TDS-MACS %~ UR1-HAL %~ UR1-MATH-STIC %~ TEST-UNIV-RENNES %~ TEST-UR-CSS %~ UNIV-RENNES %~ UR1-MATH-NUM %~ UR1-BIO-SA