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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Salvado, O. Hillenbrand, C. Shaoxiong Zhang Suri, J. Wilson, D. |
| Copyright Year | 2004 |
| Description | Author affiliation: Case Western Reserve Univ., Cleveland, OH, USA (Salvado, O.) |
| Abstract | We are characterizing atherosclerotic disease in patients and animal models using multiple MR images having different contrasts. We use intravascular and surface array coils giving high signal-to-noise but significant sensitivity inhomogeneity. In human carotid images, bias was corrected using a modified adaptive fuzzy c-mean method with a mechanical membrane model of the bias field. Noise reduction filtering, background segmentation, outlier class identification, and signal normalization were all designed to address specific, significant technical issues. In a synthetic image having a bias field measured from our MR system, variations across an area comparable to a carotid artery were reduced from 60% to <5% with processing while the misclassification rate was kept below 4% even with poor SNR (<7). Human carotid images were qualitatively improved and large regions of skeletal muscle were flattened and normalized for inter- and intra-subject variation. The method should facilitate interpretation of artery gray scales for manual plaque characterization and enable computerized plaque classification. |
| Starting Page | 1143 |
| Ending Page | 1146 |
| File Size | 1382196 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780383885 |
| DOI | 10.1109/ISBI.2004.1398745 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-04-18 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Atherosclerosis Lesions Humans Diseases Animals Coils Biomembranes Noise reduction Filtering Image segmentation |
| Content Type | Text |
| Resource Type | Article |
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