Regularization Methods for Phase Retrieval and Phase Contrast Tomography

Autor: Bruno Sixou

Publikováno v: Abstract and Applied Analysis, Vol 2015 (2015)

Phase contrast tomography is a high sensitivity medical imaging technique. Several regularization methods have been used in the literature to obtain stable solutions for the phase retrieval or the phase contrast tomography problems. Yet, the function

Externí odkaz: https://doaj.org/article/8d8a7d7301674c82a5b082451b70634e

Deep learning methods for blood flow reconstruction in a vessel with contrast enhanced x‐ray computed tomography.

Autor: Shusong, Huang, Monica, Sigovan, Bruno, Sixou

Publikováno v: International Journal for Numerical Methods in Biomedical Engineering; Jan2024, Vol. 40 Issue 1, p1-15, 15p

Mixed scale dense convolutional networks for x-ray phase contrast imaging

Autor: Kannara Mom, Bruno Sixou, Max Langer

Publikováno v: Applied optics
Applied optics, 2022, 61 (10), pp.2497-2505. ⟨10.1364/AO.443330⟩

International audience; X-ray in-line phase contrast imaging relies on the measurement of Fresnel diffraction intensity patterns due to the phase shift and the attenuation induced by the object. The recovery of phase and attenuation from one or sever

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::848fe43b2d4efd903757309dcb62125f
https://pubmed.ncbi.nlm.nih.gov/35471314

Deep Gauss–Newton for phase retrieval

Autor: Kannara Mom, Max Langer, Bruno Sixou

Publikováno v: Optics Letters. 48:1136

We propose the deep Gauss–Newton (DGN) algorithm. The DGN allows one to take into account the knowledge of the forward model in a deep neural network by unrolling a Gauss–Newton optimization method. No regularization or step size needs to be chos

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fabb742f921755469ffc474350c80677
https://doi.org/10.1364/ol.484862

Investigation of Semi-Coupled Dictionary Learning in 3-D Super Resolution HR-pQCT Imaging

Autor: Bruno Sixou, Y. Li, Françoise Peyrin, Andrew Burghard

Publikováno v: IEEE Transactions on Radiation and Plasma Medical Sciences
IEEE Transactions on Radiation and Plasma Medical Sciences, IEEE, In press, 3 (2), pp.129-136. ⟨10.1109/TRPMS.2018.2881488⟩

International audience; High Resolution peripheral Quantitative CT (HR-pQCT) permits to investigate bone micro-architecture in vivo. While it is a considerable progress over standard CT for this specific application, the spatial resolution remains so

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e472af87e3a521b89004cc734192363e
https://doi.org/10.1109/trpms.2018.2881488