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Proceedings Paper

Exploring the utility of axial lumbar MRI for automatic diagnosis of intervertebral disc abnormalities
Author(s): Subarna Ghosh; Vipin Chaudhary; Gurmeet Dhillon
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Paper Abstract

In this paper, we explore the importance of axial lumbar MRI slices for automatic detection of abnormalities. In the past, only the sagittal views were taken into account for lumbar CAD systems, ignoring the fact that a radiologist scans through the axial slices as well, to confirm the diagnosis and quantify various abnormalities like herniation and stenosis. Hence, we present an automatic diagnosis system from axial slices using CNN(Convolutional Neural Network) for dynamic feature extraction and classification of normal and abnormal lumbar discs. We show 80:81% accuracy (with a specificity of 85:29% and sensitivity of 75:56%) on 86 cases (391 discs) using only an axial slice for each disc, which implies the usefulness of axial views for automatic lumbar abnormality diagnosis in conjunction with sagittal views.

Paper Details

Date Published: 18 March 2013
PDF: 5 pages
Proc. SPIE 8670, Medical Imaging 2013: Computer-Aided Diagnosis, 86703D (18 March 2013); doi: 10.1117/12.2007704
Show Author Affiliations
Subarna Ghosh, Univ. at Buffalo, SUNY (United States)
Vipin Chaudhary, Univ. at Buffalo, SUNY (United States)
Gurmeet Dhillon, Proscan Imaging, LLC (United States)


Published in SPIE Proceedings Vol. 8670:
Medical Imaging 2013: Computer-Aided Diagnosis
Carol L. Novak; Stephen Aylward, Editor(s)

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