Výsledky vyhledávání - "Separable Footprint"

New GPU implementation of Separable Footprint (SF) Projector and Backprojector : first results

Autor: Camille Chapdelaine, Nicolas Gac, Ali Mohammad-Djafari, Estelle Parra-Denis

Publikováno v: The Fifth International Conference on Image Formation in X-Ray Computed Tomography
The Fifth International Conference on Image Formation in X-Ray Computed Tomography, May 2018, Salt Lake City, United States. pp.314-317
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International audience; —Model-based iterative reconstruction methods enable to improve the quality of reconstruction in 3D X-ray Computed Tomography (CT). The main computational burden of these methods lies in successive projection and backproject

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a84712f2e6217c4146480aea53c9b19f
https://hal.archives-ouvertes.fr/hal-01745746/document

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Accelerating separable footprint (SF) forward and back projection on GPU

Autor: James Lin, Yong Long, Xiaobin Xie, Madison G. McGaffin, Minhua Wen, Jeffrey A. Fessler

Publikováno v: Medical Imaging 2017: Physics of Medical Imaging.

Statistical image reconstruction (SIR) methods for X-ray CT can improve image quality and reduce radiation dosages over conventional reconstruction methods, such as filtered back projection (FBP). However, SIR methods require much longer computation

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bc3a6700b4290148d0dc2a95db045f23
https://doi.org/10.1117/12.2252010

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Segmented separable footprint projector for digital breast tomosynthesis and its application for subpixel reconstruction

Autor: Heang Ping Chan, Jiabei Zheng, Jeffrey A. Fessler

Publikováno v: Medical physics. 44(3)

PURPOSE Digital forward and back projectors play a significant role in iterative image reconstruction. The accuracy of the projector affects the quality of the reconstructed images. Digital breast tomosynthesis (DBT) often uses the ray-tracing (RT) p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0dfec4b814f8112f6adcfabd76ecad66
https://pubmed.ncbi.nlm.nih.gov/28058719

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Conference

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Periodical

Accelerating separable footprint (SF) forward and back projection on GPU

Autor: Flohr, Thomas G., Lo, Joseph Y., Gilat Schmidt, Taly, Xie, Xiaobin, McGaffin, Madison G., Long, Yong, Fessler, Jeffrey A., Wen, Minhua, Lin, James

Publikováno v: Proceedings of SPIE; March 2017, Vol. 10132 Issue: 1 p101322S-101322S-8, 911907p

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Akademický článek

Variational Bayesian Approach in Model-Based Iterative Reconstruction for 3D X-Ray Computed Tomography with Gauss-Markov-Potts Prior

Autor: Camille Chapdelaine, Ali Mohammad-Djafari, Nicolas Gac, Estelle Parra

Publikováno v: Proceedings, Vol 33, Iss 1, p 4 (2019)

3D X-ray Computed Tomography (CT) is used in medicine and non-destructive testing (NDT) for industry to visualize the interior of a volume and control its healthiness. Compared to analytical reconstruction methods, model-based iterative reconstructio

Externí odkaz: https://doaj.org/article/244275b2f26f449a869692dfc0252dad

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Multi-streaming and multi-GPU optimization for a matched pair of Projector and Backprojector

Autor: Ali Mohammad-Djafari, Camille Chapdelaine, Estelle Parra, Nicolas Gac, Nicolas Georgin

Publikováno v: SPIE Proceedings
The 2019 International Conference on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine
The 2019 International Conference on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, Jun 2019, Philadelphie, PA, United States. ⟨10.1117/12.2534108⟩

International audience; Iterative reconstruction methods are used in X-ray Computed Tomography in order to improve the quality of reconstruction compared to filtered backprojection methods. However, these methods are computationally expensive due to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3569d63b6636427247621a5037081d0b
https://hal.archives-ouvertes.fr/hal-02070223/document

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Variational Bayesian approach in model-based iterative reconstruction for 3D X-ray computed tomography with Gauss-Markov-Potts prior

Autor: Nicolas Gac, Camille Chapdelaine, Estelle Parra-Denis, Ali Mohammad-Djafari

Publikováno v: The 39th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering
MaxEnt 2019 : Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering
MaxEnt 2019 : Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Jun 2019, Garching/Munich, Germany. ⟨10.3390/proceedings2019033004⟩
Proceedings, Vol 33, Iss 1, p 4 (2019)

International audience; 3D X-ray Computed Tomography (CT) is used in medicine and non-destructive testing 1 (NDT) for industry to visualize the interior of a volume and control its healthiness. Compared to 2 analytical reconstruction methods, model-b

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70b6385509f62169c56fce8d38f339b8
https://hal.archives-ouvertes.fr/hal-02132706/document

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