| Improvement of automated detection method of lacunar infarcts in brain MR images. | |
| | |
MedLine Citation:
|
PMID: 18002277 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
|
The detection of asymptomatic lacunar infarcts on magnetic resonance (MR) images are important tasks for radiologists to ensure the prevention of sever cerebral infarction. However, their accurate identification is often difficult task. Therefore, the purpose of this study is to develop a computer-aided diagnosis scheme for the detection of lacunar infarcts. Our database consisted of 1,143 T1- and 1,143 T2-weighted images obtained from 132 patients. We first segmented the cerebral region in the T1- weighted image by using a region growing technique. For identifying the initial lacunar infarcts candidates, white top-hat transform and multiple-phase binarization were then applied to the T2- weighted image. For eliminating false positives (FPs), we determined 12 features, i.e., the locations x and y, density differences in the T1- and T2- weighted images, nodular components (NC), and nodular & linear components (NLC) from a scale 1 to 4. The NCs and NLCs were obtained using filter bank technique. The rule-based scheme and a neural network with 12 features were employed as the first step for eliminating FPs. The modular classifier was then used for eliminating three typical sources of FPs. As a result, the sensitivity of the detection of lacunar infarcts was 96.8% with 0.30 FP per image. Our computerized scheme would assist radiologists in identifying lacunar infarcts on MR images. |
| | |
Authors:
|
Yoshikazu Uchiyama; Ryujiro Yokoyama; Hiromichi Ando; Takahiko Asano; Hiroki Kato; Hiroyasu Yamakawa; Haruki Yamakawa; Takeshi Hara; Toru Iwama; Hiroaki Hoshi; Hiroshi Fujita |
Related Documents
:
|
17179367 - Reproducibility of postprocessing of quantitative ct perfusion maps. 3369977 - Isolated small-vessel angiitis of the central nervous system. 3195327 - Cerebral nuclear magnetic resonance (mri) in kearns syndrome. 21359937 - High-resolution computed tomography features of pulmonary chronic graft-versus-host dis... 21688007 - Diagnostic performance of diffusion-weighted magnetic resonance imaging in bladder canc... 22434697 - Tumor response assessments with diffusion and perfusion mri. |
Publication Detail:
|
Type: Journal Article; Research Support, Non-U.S. Gov't |
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: 2007 ISSN: 1557-170X ISO Abbreviation: Conf Proc IEEE Eng Med Biol Soc Publication Date: 2007 |
Date Detail:
|
Created Date: 2007-11-16 Completed Date: 2008-03-14 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: 1599-602 Citation Subset: IM |
Affiliation:
|
Dept. of Intelligent Image Information, Graduate School of Medicine, Gifu University, Yanagido 1-1, Gifu, 501-1194, Japan. |
Export Citation:
|
APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
|
Adult Aged Algorithms Artificial Intelligence* Brain / pathology* Brain Infarction / diagnosis* Female Humans Image Enhancement / methods* Image Interpretation, Computer-Assisted / methods* Magnetic Resonance Imaging / methods* Male Middle Aged Pattern Recognition, Automated / methods* Reproducibility of Results Sensitivity and Specificity |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
Previous Document: Multimodal MRI segmentation of ischemic stroke lesions.
Next Document: Volume mesh generation and finite element analysis of trabecular bone magnetic resonance images.