Cited 2 time in
Estimating contrast agent motion from ultrasound images using an anisotropic diffusion-based optical flow technique
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Lee, Ju Hwan | - |
| dc.contributor.author | Kim, Sung Min | - |
| dc.date.accessioned | 2024-09-25T03:31:40Z | - |
| dc.date.available | 2024-09-25T03:31:40Z | - |
| dc.date.issued | 2013-11-01 | - |
| dc.identifier.issn | 0010-4825 | - |
| dc.identifier.issn | 1879-0534 | - |
| dc.identifier.uri | https://scholarworks.dongguk.edu/handle/sw.dongguk/23643 | - |
| dc.description.abstract | The purpose of this study was to suggest a novel optical flow method to estimate the motion patterns of contrast agents from an ultrasound image. We first recomposed the original image with relative structural and textural parts. We embedded an anisotropic diffusion model into a slightly non-convex total variation-L1 approximation scheme to provide more reliable estimates. An intermediate bilateral filter was adopted after each computation step to prevent over-smoothing effects. Ultrasound data were acquired during continuous injection of contrast agent into a tissue mimicking phantom. The results showed that our method provided robust performance for estimating contrast agent flow patterns. (C) 2013 The Authors. Published by Elsevier Ltd. All rights reserved. | - |
| dc.format.extent | 10 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | PERGAMON-ELSEVIER SCIENCE LTD | - |
| dc.title | Estimating contrast agent motion from ultrasound images using an anisotropic diffusion-based optical flow technique | - |
| dc.type | Article | - |
| dc.publisher.location | 영국 | - |
| dc.identifier.doi | 10.1016/j.compbiomed.2013.09.004 | - |
| dc.identifier.scopusid | 2-s2.0-84884724424 | - |
| dc.identifier.wosid | 000327578400023 | - |
| dc.identifier.bibliographicCitation | COMPUTERS IN BIOLOGY AND MEDICINE, v.43, no.11, pp 1853 - 1862 | - |
| dc.citation.title | COMPUTERS IN BIOLOGY AND MEDICINE | - |
| dc.citation.volume | 43 | - |
| dc.citation.number | 11 | - |
| dc.citation.startPage | 1853 | - |
| dc.citation.endPage | 1862 | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | Y | - |
| dc.description.journalRegisteredClass | sci | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Life Sciences & Biomedicine - Other Topics | - |
| dc.relation.journalResearchArea | Computer Science | - |
| dc.relation.journalResearchArea | Engineering | - |
| dc.relation.journalResearchArea | Mathematical & Computational Biology | - |
| dc.relation.journalWebOfScienceCategory | Biology | - |
| dc.relation.journalWebOfScienceCategory | Computer Science, Interdisciplinary Applications | - |
| dc.relation.journalWebOfScienceCategory | Engineering, Biomedical | - |
| dc.relation.journalWebOfScienceCategory | Mathematical & Computational Biology | - |
| dc.subject.keywordPlus | ARTERIAL-WALL | - |
| dc.subject.keywordPlus | ALGORITHM | - |
| dc.subject.keywordAuthor | Optical flow | - |
| dc.subject.keywordAuthor | Image recomposition | - |
| dc.subject.keywordAuthor | Anisotropic diffusion model | - |
| dc.subject.keywordAuthor | TV-L1 approximation | - |
| dc.subject.keywordAuthor | Contrast agent | - |
| dc.subject.keywordAuthor | Ultrasound image | - |
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