Exploring the utility of axial lumbar MRI for automatic diagnosis of intervertebral disc abnormalities

Subarna Ghosh; Vipin Chaudhary; Gurmeet Dhillon

doi:10.1117/12.2007704

18 March 2013 Exploring the utility of axial lumbar MRI for automatic diagnosis of intervertebral disc abnormalities

Subarna Ghosh, Vipin Chaudhary, Gurmeet Dhillon

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.

Citation Download Citation

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

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available