Detailed Information

Cited 2 time in webofscience Cited 2 time in scopus
Metadata Downloads

Estimating contrast agent motion from ultrasound images using an anisotropic diffusion-based optical flow technique

Full metadata record
DC Field Value Language
dc.contributor.authorLee, Ju Hwan-
dc.contributor.authorKim, Sung Min-
dc.date.accessioned2024-09-25T03:31:40Z-
dc.date.available2024-09-25T03:31:40Z-
dc.date.issued2013-11-01-
dc.identifier.issn0010-4825-
dc.identifier.issn1879-0534-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/23643-
dc.description.abstractThe 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.extent10-
dc.language영어-
dc.language.isoENG-
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD-
dc.titleEstimating contrast agent motion from ultrasound images using an anisotropic diffusion-based optical flow technique-
dc.typeArticle-
dc.publisher.location영국-
dc.identifier.doi10.1016/j.compbiomed.2013.09.004-
dc.identifier.scopusid2-s2.0-84884724424-
dc.identifier.wosid000327578400023-
dc.identifier.bibliographicCitationCOMPUTERS IN BIOLOGY AND MEDICINE, v.43, no.11, pp 1853 - 1862-
dc.citation.titleCOMPUTERS IN BIOLOGY AND MEDICINE-
dc.citation.volume43-
dc.citation.number11-
dc.citation.startPage1853-
dc.citation.endPage1862-
dc.type.docTypeArticle-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClasssci-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaLife Sciences & Biomedicine - Other Topics-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaMathematical & Computational Biology-
dc.relation.journalWebOfScienceCategoryBiology-
dc.relation.journalWebOfScienceCategoryComputer Science, Interdisciplinary Applications-
dc.relation.journalWebOfScienceCategoryEngineering, Biomedical-
dc.relation.journalWebOfScienceCategoryMathematical & Computational Biology-
dc.subject.keywordPlusARTERIAL-WALL-
dc.subject.keywordPlusALGORITHM-
dc.subject.keywordAuthorOptical flow-
dc.subject.keywordAuthorImage recomposition-
dc.subject.keywordAuthorAnisotropic diffusion model-
dc.subject.keywordAuthorTV-L1 approximation-
dc.subject.keywordAuthorContrast agent-
dc.subject.keywordAuthorUltrasound image-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Life Science and Biotechnology > Department of Biomedical Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Kim, Sung Min photo

Kim, Sung Min
College of Life Science and Biotechnology (Department of Biomedical Engineering)
Read more

Altmetrics

Total Views & Downloads

BROWSE