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18 March 2013 Exploring the utility of axial lumbar MRI for automatic diagnosis of intervertebral disc abnormalities
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Proceedings Volume 8670, Medical Imaging 2013: Computer-Aided Diagnosis; 86703D (2013) https://doi.org/10.1117/12.2007704
Event: SPIE Medical Imaging, 2013, Lake Buena Vista (Orlando Area), Florida, United States
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.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Subarna Ghosh, Vipin Chaudhary, and Gurmeet Dhillon "Exploring the utility of axial lumbar MRI for automatic diagnosis of intervertebral disc abnormalities", Proc. SPIE 8670, Medical Imaging 2013: Computer-Aided Diagnosis, 86703D (18 March 2013); https://doi.org/10.1117/12.2007704
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