LOW-DOSE SYNCHROTRON NANO-CT VIA COMPRESSED SENSING
| Autor: | Max Langer, Françoise Peyrin, C. Goubet, Juan F P J Abascal |
|---|---|
| Přispěvatelé: | Imagerie Tomographique et Radiothérapie, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM), ANR-11-LABX-0063,PRIMES,Physique, Radiobiologie, Imagerie Médicale et Simulation(2011), ANR-17-CE19-0011,SALTO,Développent et évaluation de méthodes de CT spectral pour la détection précoce de l'arthrose(2017), European Project: 701915,H2020,H2020-MSCA-IF-2015,SUCCESS(2016), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-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), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Jean Monnet - Saint-Étienne (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), ANR: SALTO,ANR-17-CE19- 0011-01 |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
split Bregman
Tomographic reconstruction low-dose Computer science [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging 020208 electrical & electronic engineering Low dose Phase (waves) High radiation 02 engineering and technology Biological tissue Synchrotron 020202 computer hardware & architecture law.invention Compressed sensing Signal-to-noise ratio law 0202 electrical engineering electronic engineering information engineering [INFO.INFO-IM]Computer Science [cs]/Medical Imaging Synchrotron CT Biomedical engineering compressed sensing |
| Zdroj: | The International Symposium on Biomedical Imaging (ISBI'18) The International Symposium on Biomedical Imaging (ISBI'18), Apr 2018, Washington DC, United States ISBI |
| Popis: | International audience; Synchrotron phase nano-CT is a very useful technique for studying bone diseases, which requires investigating bone at the cellular level. Nevertheless, imaging biological tissue at this resolution is challenging due to the very high radiation dose. Compressed sensing provides a framework that permits to reconstruct an image from a limited amount of data. The most promising way to reduce radiation exposure in X-ray CT is to reduce the number of projections. The aim of this study is to assess the use of compressed sensing to reduce dose for synchrotron phase nano-CT for bone applications. In this paper, we address the tomographic reconstruction step by posing a total variation problem and solving it with the Split Bregman formulation. To assess the proposed method we created different low-dose imaging scenarios by reducing the number of projections, and tested them on several bone samples. The proposed method allowed accurate reconstruction using 1/4th of the projections, preserving bone features, details, and a high signal to noise ratio. |
| Databáze: | OpenAIRE |
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