적응 대역필터를 이용한 의료 초음파 감쇠 예측
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 허서원 | - |
dc.contributor.author | 이준환 | - |
dc.contributor.author | 김형석 | - |
dc.date.accessioned | 2021-12-17T02:44:12Z | - |
dc.date.available | 2021-12-17T02:44:12Z | - |
dc.date.created | 2021-12-16 | - |
dc.date.issued | 2010 | - |
dc.identifier.issn | 1229-6392 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/21163 | - |
dc.description.abstract | Attenuation coefficients of medical ultrasound not only reflect the pathological information of tissues scanned but also provide the quantitative information to compensate the decay of backscattered signals for other medical ultrasound parameters. Based on the frequency-selective attenuation property of human tissues, attenuation estimation methods in spectral domain have difficulties for real-time implementation due to the complexicity while estimation methods in time domain do not achieve the compensation for the diffraction effect effectively. In this paper, we propose the modified VSA method, which compensates the diffraction with reference phantom in time domain, using adaptive bandpass filters with decreasing center frequencies along depths. The adaptive bandpass filtering technique minimizes the distortion of relative echogenicity of wideband transmit pulses and maximizes the signal-to-noise ratio due to the random scattering, especially at deeper depths. Since the filtering center frequencies change according to the accumulated attenuation, the proposed algorithm improves estimation accuracy and precision comparing to the fixed filtering method. Computer simulation and experimental results using tissue-mimicking phantoms demonstrate that the distortion of relative echogenicity is decreased at deeper depths, and the accuracy of attenuation estimation is improved by 5.1% and the standard deviation is decreased by 46.9% for the entire scan depth. | - |
dc.language | 한국어 | - |
dc.language.iso | ko | - |
dc.publisher | 대한전자공학회 | - |
dc.title | 적응 대역필터를 이용한 의료 초음파 감쇠 예측 | - |
dc.title.alternative | Estimation of Medical Ultrasound Attenuation using Adaptive Bandpass Filters | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | 허서원 | - |
dc.identifier.bibliographicCitation | 전자공학회논문지 - SC, v.47, no.5, pp.43 - 51 | - |
dc.relation.isPartOf | 전자공학회논문지 - SC | - |
dc.citation.title | 전자공학회논문지 - SC | - |
dc.citation.volume | 47 | - |
dc.citation.number | 5 | - |
dc.citation.startPage | 43 | - |
dc.citation.endPage | 51 | - |
dc.type.rims | ART | - |
dc.identifier.kciid | ART001480966 | - |
dc.description.journalClass | 2 | - |
dc.description.journalRegisteredClass | kci | - |
dc.subject.keywordAuthor | medical ultrasound | - |
dc.subject.keywordAuthor | attenuation | - |
dc.subject.keywordAuthor | VSA method | - |
dc.subject.keywordAuthor | bandpass filter | - |
dc.subject.keywordAuthor | quantitative ultrasound analysis | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
94, Wausan-ro, Mapo-gu, Seoul, 04066, Korea02-320-1314
COPYRIGHT 2020 HONGIK UNIVERSITY. ALL RIGHTS RESERVED.
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.