Beamforming algorithms for endocardial border detection.
Background: Software‐based beamforming which utilizes delay and standard beamforming is a signal processing technique that temporarily stores data from each probe element to improve specular reflections to improve the image resolution. We compared a software algorithm which uses delay and standard b...
| Publicado en: | Echocardiography Vol. 35; no. 10; pp. 1499 - 1507 |
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| Autores principales: | , , , , , , |
| Formato: | diagnostic images pictorial research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Oct2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=132212502&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 132212502 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 07422822 GSE jtl: Echocardiography issn: 07422822 maglogo: Y pubinfo: dt: Oct2018 vid: 35 iid: 10 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 132212502 132212502 132212502 10.1111/echo.14059 132212502 ppf: 1499 ppct: 8 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Beamforming algorithms for endocardial border detection. aug: au: Kulina, Robert Seetharam, Karthik Agarwal, Sunil Wiley, Brandon M. Narula, Jagat Chaudhry, Farooq A. Sengupta, Partho P. affil: Icahn School of Medicine at Mount Sinai, New York NY, USA sug: subj: Endocardium Anatomy and Histology Signal Processing, Computer Assisted Methods Algorithms Software Image Enhancement Endocardium Ultrasonography Contrast Media Diagnostic Use Echocardiography Human Prospective Studies Adolescence Young Adult Adult Middle Age Aged Aged, 80 and Over Male Adolescent: 13-18 years Adult: 19-44 years Middle Aged: 45-64 years Aged: 65+ years Aged, 80 & over Male ab: Background: Software‐based beamforming which utilizes delay and standard beamforming is a signal processing technique that temporarily stores data from each probe element to improve specular reflections to improve the image resolution. We compared a software algorithm which uses delay and standard beamforming with delay and sum beamforming in standard, hardware to evaluate endocardial borders and need for echo contrast. Methods: In this prospective study, eligible participants were ≥18 years of age referred clinically for transthoracic echocardiograms. A limited study consisting of three views (apical 4, apical 3, and apical 2 chamber) was performed with the software‐based beamforming and standard platform. Number and quality of segments visualized were evaluated using a 17‐segment model. Quality of segments was graded as 0 = not visualized, 1 = incompletely visualized, or 2 = completely visualized. Overall quality score for each study (0 = poor, 1 = adequate, 2 = good) was reported. The need for contrast was determined by ASE guidelines. Results: A total of 101 patients (mean age 61 ± 16 years, males 52%) were enrolled. Mean number of segments visualized in apical 4‐ (6.28 vs 5.65, P < .001), apical 3‐ (6.27 vs 5.54, P < .001), and apical 2‐chamber views (6.26 vs 5.72 P < .001) was higher with the software vs standard platform. The average overall score for image quality was significantly better for the software platform vs standard (1.4 vs 0.9, P =< .001). With the software platform, 23% were judged as requiring contrast as compared with 45% for the standard platform (P < .001). Conclusions: Delay and standard beamforming in software platform identified more segments with better image quality when compared to the standard high‐end platform, decreasing the need for contrast usage. pubtype: Academic Journal doctype: diagnostic images pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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