A feasability study of color flow doppler vectorization for automated blood flow monitoring.
An ongoing issue in vascular medicine is the measure of the blood flow. Catheterization remains the gold standard measurement method, although non-invasive techniques are an area of intense research. We hereby present a computational method for real-time measurement of the blood flow from color flow...
| Publicado en: | Journal of Clinical Monitoring & Computing Vol. 31; no. 6; pp. 1167 - 1176 |
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| Autores principales: | , , , , , |
| Formato: | diagnostic images research tables/charts Journal Article |
| Publicado: |
Springer Nature
Dec2017
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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=125840648&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 125840648 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13871307 OHC jtl: Journal of Clinical Monitoring & Computing issn: 13871307 maglogo: N pubinfo: dt: Dec2017 vid: 31 iid: 6 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 125840648 125840648 143941440 NLM27838880 125840648 10.1007/s10877-016-9953-2 NLM27838880 125840648 ppf: 1167 ppct: 9 formats: fmt: @attributes: type: P tig: atl: A feasability study of color flow doppler vectorization for automated blood flow monitoring. aug: au: Schorer, R. Badoual, A. Bastide, B. Vandebrouck, A. Licker, M. Sage, D. affil: Department of Anaesthesiology, Pharmacology and Intensive Care , Geneva University Hospital , 1205 Geneva Switzerland sug: subj: Image Processing, Computer Assisted Methods Signal Processing, Computer Assisted Blood Flow Velocity Ultrasonography, Doppler Methods Reproducibility of Results Software Algorithms Computer Simulation Hemodynamics Bar Coding Computer Graphics Phantoms, Imaging Pilot Studies User-Computer Interface Human ab: An ongoing issue in vascular medicine is the measure of the blood flow. Catheterization remains the gold standard measurement method, although non-invasive techniques are an area of intense research. We hereby present a computational method for real-time measurement of the blood flow from color flow Doppler data, with a focus on simplicity and monitoring instead of diagnostics. We then analyze the performance of a proof-of-principle software implementation. We imagined a geometrical model geared towards blood flow computation from a color flow Doppler signal, and we developed a software implementation requiring only a standard diagnostic ultrasound device. Detection performance was evaluated by computing flow and its determinants (flow speed, vessel area, and ultrasound beam angle of incidence) on purposely designed synthetic and phantom-based arterial flow simulations. Flow was appropriately detected in all cases. Errors on synthetic images ranged from nonexistent to substantial depending on experimental conditions. Mean errors on measurements from our phantom flow simulation ranged from 1.2 to 40.2% for angle estimation, and from 3.2 to 25.3% for real-time flow estimation. This study is a proof of concept showing that accurate measurement can be done from automated color flow Doppler signal extraction, providing the industry the opportunity for further optimization using raw ultrasound data. pubtype: Academic Journal doctype: diagnostic images research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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