Characterizing time-intensity curves for spectral morphometric analysis of intratumoral enhancement patterns in breast DCE-MRI: Comparison between differentiation performance of temporal model parameters based on DFT AND SVD
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Sang Ho | - |
dc.contributor.author | Kim, Jong Hyo | - |
dc.contributor.author | Park, Jeong Seon | - |
dc.contributor.author | Jung, Yun Sub | - |
dc.contributor.author | Moon, Woo Kyung | - |
dc.date.accessioned | 2022-12-20T21:49:26Z | - |
dc.date.available | 2022-12-20T21:49:26Z | - |
dc.date.created | 2022-09-16 | - |
dc.date.issued | 2009-06 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/176627 | - |
dc.description.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. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | IEEE | - |
dc.title | Characterizing time-intensity curves for spectral morphometric analysis of intratumoral enhancement patterns in breast DCE-MRI: Comparison between differentiation performance of temporal model parameters based on DFT AND SVD | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Park, Jeong Seon | - |
dc.identifier.doi | 10.1109/ISBI.2009.5192984 | - |
dc.identifier.scopusid | 2-s2.0-70449368989 | - |
dc.identifier.bibliographicCitation | Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009, pp.65 - 68 | - |
dc.relation.isPartOf | Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009 | - |
dc.citation.title | Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009 | - |
dc.citation.startPage | 65 | - |
dc.citation.endPage | 68 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | 3D moment descriptors | - |
dc.subject.keywordPlus | Breast DCE-MRI | - |
dc.subject.keywordPlus | Discrete Fourier transformation (DFT) | - |
dc.subject.keywordPlus | Singular value decomposition (SVD) | - |
dc.subject.keywordPlus | Spatio-temporal properties | - |
dc.subject.keywordPlus | Tumor characterization | - |
dc.subject.keywordPlus | Communication channels (information theory) | - |
dc.subject.keywordPlus | Discrete Fourier transforms | - |
dc.subject.keywordPlus | Feature extraction | - |
dc.subject.keywordPlus | Fourier analysis | - |
dc.subject.keywordPlus | Image segmentation | - |
dc.subject.keywordPlus | Light polarization | - |
dc.subject.keywordPlus | Multilayer neural networks | - |
dc.subject.keywordPlus | Probability density function | - |
dc.subject.keywordPlus | Radial basis function networks | - |
dc.subject.keywordPlus | Support vector machines | - |
dc.subject.keywordPlus | Three dimensional | - |
dc.subject.keywordPlus | Tumors | - |
dc.subject.keywordPlus | Singular value decomposition | - |
dc.subject.keywordAuthor | 3D moment descriptors | - |
dc.subject.keywordAuthor | Breast DCE-MRI | - |
dc.subject.keywordAuthor | Discrete Fourier transformation (DFT) | - |
dc.subject.keywordAuthor | Singular value decomposition (SVD) | - |
dc.subject.keywordAuthor | Spatio-temporal properties | - |
dc.subject.keywordAuthor | Tumor characterization | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/5192984 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.