Computer-aided diagnosis of diagnostically challenging lesions in breast MRI: A comparison between a radiomics and a feature-selective approach Conference Paper


Authors: Hoffmann, S.; Lobbes, M.; Houben, I.; Pinker-Domenig, K.; Wengert, G.; Burgeth, B.; Meyer-Bäse, U.; Lemaitre, G.; Meyer-Baese, A.
Title: Computer-aided diagnosis of diagnostically challenging lesions in breast MRI: A comparison between a radiomics and a feature-selective approach
Conference Title: Sensing and Analysis Technologies for Biomedical and Cognitive Applications 2016
Abstract: Diagnostically challenging lesions pose a challenge both for the radiological reading and also for current CAD systems. They are not well-defined in both morphology (geometric shape) and kinetics (temporal enhancement) and pose a problem to lesion detection and classification. Their strong phenotypic differences can be visualized by MRI. Radiomics represents a novel approach to achieve a detailed quantification of the tumour phenotypes by analyzing a large number of image descriptors. In this paper, we apply a quantitative radiomics approach based on shape, texture and kinetics tumor features and evaluate it in comparison to a reduced-order feature approach in a computer-aided diagnosis system applied to diagnostically challenging lesions. © 2016 SPIE.
Keywords: magnetic resonance imaging; classification; kinetics; medical imaging; tumors; diagnosis; breast magnetic resonance imaging; computer-aided diagnosis; computer aided diagnosis; classification (of information); object recognition; radiomics; diagnostically challenging lesions; morphological and kinetic features; breast magnetic-resonance imaging; computer aided diagnosis systems; image descriptors; kinetic features; lesion detection; phenotypic differences
Journal Title Proceedings of SPIE
Volume: 9871
Conference Dates: 2016 Apr 17-18
Conference Location: Baltimore, MD
ISBN: 0277-786X
Publisher: SPIE  
Date Published: 2016-01-01
Start Page: 98710H
Language: English
DOI: 10.1117/12.2228994
PROVIDER: scopus
DOI/URL:
Notes: Conference Paper -- Conference code: 124026 -- Export Date: 2 November 2016 -- The Society of Photo-Optical Instrumentation Engineers (SPIE) -- 17 April 2016 through 18 April 2016 -- Source: Scopus
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