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Nearly automated analysis of coronary Doppler flow velocity from transthoracic ultrasound images: validation with manual tracings

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Abstract

Coronary flow velocity reserve is obtained by manual tracings of transthoracic coronary Doppler flow velocity profiles as the ratio of stress versus baseline diastolic peak velocities. This approach introduces subjectivity in the measurements and limits the information which could be exploited from the Doppler velocity profile. Accordingly, our goals were to develop a technique for nearly automated detection of Doppler coronary flow velocity profile, and automatically compute both conventional and additional amplitude, derivative and temporal parameters, and validate it with manual tracings. A total of 100 patients (17 normals, 15 patients with severe coronary stenosis, 41 with connective tissue disease and 27 with diabetes mellitus) were studied. Linear correlation and Bland–Altman analyses showed that the proposed method was highly accurate and repeatable compared to the manual measurements. Comparison between groups evidenced significant differences in some of the automated parameters, thus representing potentially additional indices useful for the noninvasive diagnosis of microcirculatory or coronary artery disease.

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Abbreviations

CFR:

Coronary flow reserve

CFVR:

Coronary flow velocity reserve

LAD:

Left anterior descending

CTD:

Connective tissue disease

DM:

Diabetes mellitus

DSVR:

Diastolic to systolic velocity ratio

N:

Normal

CS:

Coronary stenosis

ROI:

Region of interest

PDV:

Peak diastolic velocity

PDA:

Peak diastolic acceleration

BD:

Beginning of the diastolic phase

PSV:

Peak systolic velocity

PDD:

Peak diastolic deceleration

MSV:

Mean systolic velocity

MDV:

Mean diastolic velocity

SPD:

Systolic phase duration

DPD:

Diastolic phase duration

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Authors and Affiliations

  1. Dipartimento di Bioingegneria, Politecnico di Milano, Piazza L. da Vinci, 32, 20133, Milan, Italy

    V. Magagnin, S. Cerutti & E. G. Caiani

  2. Servizio di Cardiologia, Istituto Ortopedico Galeazzi IRCCS, Università degli Studi di Milano, Milan, Italy

    L. Delfino & M. Turiel

  3. Istituto Ortopedico Galeazzi IRCCS, Unità di Bioingegneria, Milan, Italy

    V. Magagnin & E. G. Caiani

Authors
  1. V. Magagnin
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  2. L. Delfino
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  3. S. Cerutti
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  4. M. Turiel
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  5. E. G. Caiani
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Correspondence to E. G. Caiani.

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Magagnin, V., Delfino, L., Cerutti, S. et al. Nearly automated analysis of coronary Doppler flow velocity from transthoracic ultrasound images: validation with manual tracings. Med Bio Eng Comput 45, 483–493 (2007). https://doi.org/10.1007/s11517-007-0178-x

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  • DOI: https://doi.org/10.1007/s11517-007-0178-x

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