Effect of Slice Thickness on Texture-Based Classification of Liver Dynamic CT Scans
| Autor: | Marek Kretowski, Dorota Duda, Johanne Bezy-Wendling |
|---|---|
| Přispěvatelé: | Faculty of Computer Science - University of Białystok, Białystok University of Technology, Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), Khalid Saeed, Rituparna Chaki, Agostino Cortesi, Sławomir Wierzchoń, TC 8, Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM), Ifip, Hal |
| Jazyk: | angličtina |
| Rok vydání: | 2013 |
| Předmět: |
Cirrhotic liver
Materials science Slice thickness [SHS.INFO]Humanities and Social Sciences/Library and information sciences 0206 medical engineering 02 engineering and technology [INFO] Computer Science [cs] dynamic CT liver [SHS.INFO] Humanities and Social Sciences/Library and information sciences 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine CAD [INFO]Computer Science [cs] Texture (crystalline) texture analysis slice thickness Portal phase Tissue characterization 020601 biomedical engineering Cad system classification stability of the parameters Dynamic ct tissue characterization Biomedical engineering |
| Zdroj: | Lecture Notes in Computer Science 12th International Conference on Information Systems and Industrial Management (CISIM) 12th International Conference on Information Systems and Industrial Management (CISIM), Sep 2013, Krakow, Poland. pp.96-107, ⟨10.1007/978-3-642-40925-7_10⟩ ResearcherID Computer Information Systems and Industrial Management ISBN: 9783642409240 CISIM |
| Popis: | Part 3: Biometrics and Biometrics Applications; International audience; This paper assesses the impact of slice thickness on texture parameters. Experiments are performed on liver dynamic CT scans, with two slice thicknesses. Three acquisition moments are considered: without contrast, in arterial and in portal phase. In total, 155 texture parameters, extracted with 9 methods, are tested. Classification of normal and cirrhotic liver is performed using a boosting algorithm. Experiments reveal that slice thickness does not considerably influence the stability of the parameters. They also enable to assess the rate of parameter dependency on slice thickness. Finally, they show that applying different slice thicknesses for training and testing the CAD system requires slice thickness-independent parameters. |
| Databáze: | OpenAIRE |
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