Evidence map›Paper›PMID 30675677›Full record

ArticleJournal of medical ultrasonics (2001)2019

Identification of vascular lumen by singular value decomposition filtering on blood flow velocity distribution.

Ryo Nagaoka, Hideyuki Hasegawa

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In one paragraph

Article in Journal of medical ultrasonics (2001), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Ryo NagaokaGraduate School of Science and Engineering for Research, University of Toyama, 3190 Gofuku, Toyama, 930-8555, Japan. nryo@eng.u-toyama.ac.jp.
Hideyuki HasegawaGraduate School of Science and Engineering for Research, University of Toyama, 3190 Gofuku, Toyama, 930-8555, Japan.

Funding

JSPS Grant-in-Aids for Early-Career Scientists 18K18395JSPS Grant-in-Aids for Scientific Research (B) 17H03276
6 · The paper itself

Abstract

purposeIn the present study, we proposed a novel method for identification of the vascular lumen by employing singular value decomposition (SVD), and the feasibility of the proposed method was validated by in vivo measurement of the common carotid artery.

methodSVD filtering was applied to a velocity map that was estimated using an autocorrelation method to identify the lumen region. In this study, the packet size was set at 999 frames with a frame rate of 1302 Hz. The region estimated by the proposed SVD filtering was compared with that estimated by the conventional power Doppler method.

resultThe averaged differences in feature values between vascular wall and lumen regions obtained by the proposed and conventional methods were 34 dB and 26 dB, respectively. The proposed method was hardly influenced by the cardiac phase and could separate the wall and lumen regions more stably. The proposed method could identify the lumen region by setting a threshold of - 28 dB from the averaged difference amplitude.

conclusionWe proposed a novel method for identification of the vascular lumen. The proposed method could suppress the effects of wall motion, which was present in the conventional power Doppler image. The lumen region identified by the proposed method well conformed with the anatomical information in the B-mode image of the corresponding section.

Indexed as

AdultBlood Flow VelocityCarotid Artery, CommonFeasibility StudiesHealthy VolunteersHumansMaleSignal-To-Noise RatioUltrasonography, DopplerHigh-frame-rate imagingLumen identificationSingular value decomposition filteringUltrasonic image

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.