Phase retrieval in 3D X-ray magnified phase nano CT: Imaging bone tissue at the nanoscale

Autor: Loriane Weber, Peter Cloetens, Max Langer, Alexandra Pacureanu, Cécile Olivier, Boliang Yu, Françoise Peyrin
Přispěvatelé: Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), European Synchrotron Radiation Facility (ESRF), Imagerie Tomographique et Radiothérapie, Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL)
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)
IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), Apr 2017, Melbourne, Australia
ISBI
Popis: International audience; X-ray phase computed tomography (CT) offers higher sensitivity than conventional X-ray CT. A new phase-CT instrument producing a nano-focused beam has been developed at the ESRF (European Synchrotron Radiation Facility) for nano-imaging. In order to obtain final images, a suited phase retrieval algorithm is necessary, which is attracting broader interest recently. In this paper, we explicit the 3D phase CT image reconstruction problem, including the stage of phase retrieval prior to 3D CT reconstruction. The phase retrieval problem is solved by extending the single distance Paganin method to multi-distance acquisitions, followed by an iterative non-linear conjugate gradient descent optimization method. The method is evaluated on bone tissue samples imaged at voxel sizes of 120 nm. The results obtained from acquisition at 1 and 4 distances, with and without the iterative refinement are compared. The results show that this method yields improved images compared to other methods.
Databáze: OpenAIRE