| Composite features for automatic diagnosis of intervertebral disc herniation from lumbar MRI. | |
| | |
MedLine Citation:
|
PMID: 22255478 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
|
Lower back pain is widely prevalent in the world today, and the situation is aggravated due to a shortage of radiologists. Intervertebral disc disorders like desiccation, degeneration and herniation are some of the major causes of lower back pain. In this paper, we propose a robust computer-aided herniation diagnosis system for lumbar MRI by first extracting an approximate Region Of Interest (ROI) for each disc and then using a combination of viable features to produce a highly accurate classifier. We describe the extraction of raw, LBP (Local Binary Patterns), Gabor, GLCM (Gray-Level Co-occurrence Matrix), shape, and intensity features from lumbar SPIR T2-weighted MRI and also present a thorough performance comparison of individual and combined features. We perform 5-fold cross validation experiments on 35 cases and report a very high accuracy of 98.29% using a combination of features. Also, combining the desired features and reducing the dimensionality using LDA, we achieve a high sensitivity (true positive rate) of 98.11%. |
| | |
Authors:
|
Subarna Ghosh; Raja' S Alomari; Vipin Chaudhary; Gurmeet Dhillon |
Related Documents
:
|
10050798 - Lower extremity occlusive disease: diagnostic imaging with a combination of cardiac-gat... 20574098 - Intracranial dural arteriovenous fistulas: diagnosis and evaluation with 64-detector ro... 17650558 - Magnetic resonance angiography of the head and neck vessels. 16802438 - Vasovist-enhanced mr angiography. 21959828 - Arterial flow characteristics in the presence of vascular disease and implications for ... 20821218 - The inter-observer reliability is very low at clinical examination of parastomal hernia. |
Publication Detail:
|
Type: Journal Article |
Journal Detail:
|
Title: Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference Volume: 2011 ISSN: 1557-170X ISO Abbreviation: Conf Proc IEEE Eng Med Biol Soc Publication Date: 2011 Aug |
Date Detail:
|
Created Date: 2012-01-18 Completed Date: - Revised Date: - |
Medline Journal Info:
|
Nlm Unique ID: 101243413 Medline TA: Conf Proc IEEE Eng Med Biol Soc Country: United States |
Other Details:
|
Languages: eng Pagination: 5068-71 Citation Subset: IM |
Export Citation:
|
APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
|
|
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
Previous Document: A generalized estimating equations approach for resting-state functional MRI group analysis.
Next Document: An improved classification scheme for chromosomes with missing data.