| Quantitative analysis in clinical applications of brain MRI using independent component analysis coupled with support vector machine. | |
| | |
MedLine Citation:
|
PMID: 20578007 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
|
PURPOSE: To effectively perform quantification of brain normal tissues and pathologies simultaneously, independent component analysis (ICA) coupled with support vector machine (SVM) is investigated and evaluated for effective volumetric measurements of normal and lesion tissues using multispectral MR images. MATERIALS AND METHODS: Synthetic and real MR data of normal brain and white matter lesion (WML) data were used to evaluate the accuracy and reproducibility of gray matter (GM), white matter (WM), and WML volume measurements by using the proposed ICA+SVM method to analyze three sets of MR images, T1-weighted, T2-weighted, and proton density/fluid-attenuated inversion recovery images. RESULTS: The Tanimoto indexes of GM/WM classification in the normal synthetic data calculated by the ICA+SVM method were 0.82/0.89 for data with 0% noise level. As for clinical MR data experiments, the ICA+SVM method clearly extracted the normal tissues and white matter hyperintensity lesions from the MR images, with low intra- and inter-operator coefficient of variations. CONCLUSION: The experiments conducted provide evidence that the ICA+SVM method has shown promise and potential in applications to classification of normal and pathological tissues in brain MRI. |
| | |
Authors:
|
Jyh-Wen Chai; Clayton Chi-Chang Chen; Chih-Ming Chiang; Yung-Jen Ho; Hsian-Min Chen; Yen-Chieh Ouyang; Ching-Wen Yang; San-Kan Lee; Chein-I Chang |
Related Documents
:
|
12599277 - Bilateral brain abnormalities associated with dominantly inherited verbal and orofacial... 12605447 - Leukodystrophy associated with oligodontia in a large inbred family: fortuitous associa... 18246747 - Noncystic white matter injury--a case report. 1549677 - Mr imaging of tuberous sclerosis: pathogenesis of this phakomatosis, use of gadopenteta... 19472637 - Assessment of trabecular bone microarchitecture by two different x-ray microcomputed to... 8378487 - Fully automated segmentation of cerebrospinal fluid in computed tomography. |
Publication Detail:
|
Type: Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
|
Title: Journal of magnetic resonance imaging : JMRI Volume: 32 ISSN: 1522-2586 ISO Abbreviation: J Magn Reson Imaging Publication Date: 2010 Jul |
Date Detail:
|
Created Date: 2010-06-29 Completed Date: 2010-10-18 Revised Date: - |
Medline Journal Info:
|
Nlm Unique ID: 9105850 Medline TA: J Magn Reson Imaging Country: United States |
Other Details:
|
Languages: eng Pagination: 24-34 Citation Subset: IM |
Copyright Information:
|
(c) 2010 Wiley-Liss, Inc. |
Affiliation:
|
Department of Radiology, Taichung Veterans General Hospital, Taichung, Taiwan. |
Export Citation:
|
APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
|
Adult Brain / anatomy & histology*, pathology* Brain Mapping / methods*, statistics & numerical data Discriminant Analysis Humans Image Processing, Computer-Assisted / methods Magnetic Resonance Imaging / methods*, statistics & numerical data Middle Aged Observer Variation Reproducibility of Results Sensitivity and Specificity Young Adult |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
Previous Document: Intracranial tumor response to respiratory challenges at 3.0 T: Impact of different methods to quant...
Next Document: Two-dimensional MR spectroscopy of minimal hepatic encephalopathy and neuropsychological correlates ...