Authors
Raja’ S Alomari, Jason J Corso, Vipin Chaudhary, Gurmeet Dhillon
Publication date
2010/5
Source
International journal of computer assisted radiology and surgery
Volume
5
Pages
287-293
Publisher
Springer-Verlag
Description
Purpose
Detection of abnormal discs from clinical T2-weighted MR Images. This aids the radiologist as well as subsequent CAD methods in focusing only on abnormal discs for further diagnosis. Furthermore, it gives a degree of confidence about the abnormality of the intervertebral discs that helps the radiologist in making his decision.
Materials and methods
We propose a probabilistic classifier for the detection of abnormality of intervertebral discs. We use three features to label abnormal discs that include appearance, location, and context. We model the abnormal disc appearance with a Gaussian model, the location with a 2D Gaussian model, and the context with a Gaussian model for the distance between abnormal discs. We infer on the middle slice of the T2-weighted MRI volume for each case. These MRI scans are specific for the lumbar area. We …
Total citations
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Scholar articles
RS Alomari, JJ Corso, V Chaudhary, G Dhillon - International journal of computer assisted radiology …, 2010