Evaluation of area-based collagen scoring by nonlinear microscopy in chronic hepatitis C-induced liver fibrosis
Autor: | Christophe Odin, William L. Irving, Indra Neil Guha, David Sevrain, Yann Le Grand, Matthieu Dubreuil, G E Dolman, Abed M. Zaitoun |
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Přispěvatelé: | Laboratoire de Spectrométrie et Optique Laser (LSOL), Université de Brest (UBO)-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS), Nottingham Digestive Diseases Centre: NIHR Biomedical Research Unit, Nottingham University Hospitals NHS Trust, Nottingham University Hospital, Department of Histopathology, School of Molecular Medical Sciences, Nottingham University Hospitals NHS Trust, University of Nottingham, UK (UON), Institut de Physique de Rennes (IPR), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Centre National de la Recherche Scientifique (CNRS), Nottingham University Hospitals NHS Trust (NUH), Université de Rennes (UR)-Centre National de la Recherche Scientifique (CNRS) |
Jazyk: | angličtina |
Rok vydání: | 2015 |
Předmět: |
Pathology
medicine.medical_specialty Nonlinear microscopy [SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging Liver fibrosis Image processing Medical optics and biotechnology : optical diagnostics for medicine Article Chronic hepatitis Fibrosis Microscopy medicine OCIS Codes (110.2960) Imaging systems : Image analysis(170.1610) Medical optics and biotechnology : Clinical applications(170.3880) Medical optics and biotechnology : Medical and biological imaging(170.4580) Medical optics and biotechnology : Optical diagnostics for medicine(180.4315) Microscopy : Nonlinear microscopy Human liver business.industry medicine.disease Atomic and Molecular Physics and Optics 3. Good health Intensity (physics) Medical optics and biotechnology : medical and biological imaging Medical optics and biotechnology : clinical applications [SPI.OPTI]Engineering Sciences [physics]/Optics / Photonic Imaging systems : image analysis business [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing Biotechnology |
Zdroj: | Biomedical optics express Biomedical optics express, Optical Society of America-OSA Publishing, 2015, 6 (4), pp.1209-1218. ⟨10.1364/BOE.6.001209⟩ Biomedical optics express, 2015, 6 (4), pp.1209-1218. ⟨10.1364/BOE.6.001209⟩ |
ISSN: | 2156-7085 |
DOI: | 10.1364/BOE.6.001209⟩ |
Popis: | International audience; In this paper we analyze a fibrosis scoring method based on measurement of the fibrillar collagen area from second harmonic generation (SHG) microscopy images of unstained histological slices from human liver biopsies. The study is conducted on a cohort of one hundred chronic hepatitis C patients with intermediate to strong Metavir and Ishak stages of liver fibrosis. We highlight a key parameter of our scoring method to discriminate between high and low fibrosis stages. Moreover, according to the intensity histograms of the SHG images and simple mathematical arguments, we show that our area-based method is equivalent to an intensity-based method, despite saturation of the images. Finally we propose an improvement of our scoring method using very simple image processing tools. |
Databáze: | OpenAIRE |
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