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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sang Ho Lee Jong Hyo Kim Jeong Seon Park Yun Sub Jung Woo Kyung Moon |
| Copyright Year | 2009 |
| Description | Author affiliation: Interdisciplinary Program in Radiation Applied Life Science, Seoul National University College of Medicine, Korea (Sang Ho Lee; Jong Hyo Kim; Yun Sub Jung) || Department of Radiology, Hanyang University College of Medicine, Seoul, Korea (Jeong Seon Park) || Department of Radiology, Seoul National University College of Medicine, Korea (Woo Kyung Moon) |
| Abstract | This study was designed to characterize the spatio-temporal properties of intratumoral enhancement patterns by using voxel-wise temporal enhancement spectra and morphometry of their spatial distributions in dynamic contrast-enhanced (DCE) breast MRI. Discrete Fourier transformation (DFT) and singular value decomposition (SVD) were used to extract the temporal enhancement features for comparison, generating 4D spectral maps. The spatial variations of DFT and SVD-based eigen spectra within tumor were captured by 3D moment descriptors, respectively. Differentiation between benign and malignant tumors was carried out using least squares support vector machine (LS-SVM) with a radial basis function (RBF) kernel and leave-one-out cross validation was used for performance evaluation. Using DFT, the sensitivity, specificity and area under ROC curve were 84.8%, 64.4% and 0.728. Using SVD, the corresponding values were 100%, 86.7% and 0.935. Combination of SVD and 3D moments yields higher performance in tumor differentiation than that of DFT and 3D moments. |
| Starting Page | 65 |
| Ending Page | 68 |
| File Size | 274599 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424439317 |
| ISSN | 19457928 |
| DOI | 10.1109/ISBI.2009.5192984 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-06-28 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Pattern analysis Spectral analysis Performance analysis Discrete Fourier transforms Magnetic resonance imaging Singular value decomposition Breast neoplasms Malignant tumors Least squares methods Support vector machines tumor characterization Breast DCE-MRI discrete Fourier transformation (DFT) singular value decomposition (SVD) spatio-temporal properties 3D moment descriptors |
| Content Type | Text |
| Resource Type | Article |
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