Determining arterial blood velocity using MAUI software from recorded doppler ultrasound videos

Ahmed Gawish, Jason Deglint, Kathryn Zuj, Mikel Egana, Joel Rocha, Alex Wong, Richard Hughson

Research output: Contribution to conferencePoster

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Abstract

Objectives: The purpose of this study was to investigate the repeatability and reproducibility of a new software, developed to provide measurements of arterial blood velocity from recorded Doppler ultrasound videos.

Methods: The “Measurements from Arterial Ultrasound Imaging” (MAUI) software (Hedgehog Medical Inc.), developed for the measurement of arterial dimensions, has been expanded to measure the blood velocity from ultrasound videos. MAUI uses an adaptive based segmentation and intelligent outlier removal image analysis method to determine the instantaneous peak velocity in the positive and negative directions and the intensity weighted mean of the signal. Three recorded videos of popliteal arterial velocity were used to evaluate the reproducibility and repeatability of MAUI. For this assessment, two investigators (E1 and E2) each performed 10 measurements of the three test videos using MAUI.

Results: MAUI provided blood velocity measurements (cm/s) for each frame of each video. The ten measurements made by E1 and E2 were averaged and are listed below (mean ± SD).

Video # Velocity Measure E1 E2
1 Positive Envelope 27.84 ± 0.15 27.31 ± 0.28
Negative Envelope -13.99 ± 0.28 -13.68 ± 0.19
Mean Signal 13.80 ± 0.24 13.81 ± 0.10
2 Positive Envelope 42.30 ± 0.13 42.34 ± 0.33
Negative Envelope -11.51 ± 0.28 -11.53 ± 0.24
Mean Signal 29.69 ± 0.02 29.08 ± 0.36
3 Positive Envelope 53.48 ± 0.11 53.54 ± 0.20
Negative Envelope -13.66 ± 0.10 -13.40 ± 0.21
Mean Signal 38.60 ± 0.12 38.47 ± 0.17

Conclusion: Preliminary assessments suggest that MAUI is a viable method for the measurement of blood velocity from recorded Doppler ultrasound video with high repeatability and low interrater variability. In future, measurements of velocity may be combined with existing continuous measurements of arterial diameter for the calculation of blood flow and assessments of vascular health and disease.

Original languageEnglish
Publication statusPublished - 19 May 2017
EventNorth American Artery Seventh Annual Meeting: Beyond the Clinic: Blood Pressure and Vascular Function - Mechanisms, Assessement & Management in Health and Disease - University of Illinois, Chicago, United States
Duration: 19 May 201720 May 2017
http://naartery.org/NAA2017

Conference

ConferenceNorth American Artery Seventh Annual Meeting
CountryUnited States
CityChicago
Period19/05/1720/05/17
Internet address

Fingerprint

Doppler Ultrasonography
Ultrasonography
Software
Vascular Diseases
Research Personnel
Health

Cite this

Gawish, A., Deglint, J., Zuj, K., Egana, M., Rocha, J., Wong, A., & Hughson, R. (2017). Determining arterial blood velocity using MAUI software from recorded doppler ultrasound videos. Poster session presented at North American Artery Seventh Annual Meeting, Chicago, United States.
Gawish, Ahmed ; Deglint, Jason ; Zuj, Kathryn ; Egana, Mikel ; Rocha, Joel ; Wong, Alex ; Hughson, Richard. / Determining arterial blood velocity using MAUI software from recorded doppler ultrasound videos. Poster session presented at North American Artery Seventh Annual Meeting, Chicago, United States.
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abstract = "Objectives: The purpose of this study was to investigate the repeatability and reproducibility of a new software, developed to provide measurements of arterial blood velocity from recorded Doppler ultrasound videos. Methods: The “Measurements from Arterial Ultrasound Imaging” (MAUI) software (Hedgehog Medical Inc.), developed for the measurement of arterial dimensions, has been expanded to measure the blood velocity from ultrasound videos. MAUI uses an adaptive based segmentation and intelligent outlier removal image analysis method to determine the instantaneous peak velocity in the positive and negative directions and the intensity weighted mean of the signal. Three recorded videos of popliteal arterial velocity were used to evaluate the reproducibility and repeatability of MAUI. For this assessment, two investigators (E1 and E2) each performed 10 measurements of the three test videos using MAUI. Results: MAUI provided blood velocity measurements (cm/s) for each frame of each video. The ten measurements made by E1 and E2 were averaged and are listed below (mean ± SD).Video # Velocity Measure E1 E21 Positive Envelope 27.84 ± 0.15 27.31 ± 0.28 Negative Envelope -13.99 ± 0.28 -13.68 ± 0.19 Mean Signal 13.80 ± 0.24 13.81 ± 0.102 Positive Envelope 42.30 ± 0.13 42.34 ± 0.33 Negative Envelope -11.51 ± 0.28 -11.53 ± 0.24 Mean Signal 29.69 ± 0.02 29.08 ± 0.363 Positive Envelope 53.48 ± 0.11 53.54 ± 0.20 Negative Envelope -13.66 ± 0.10 -13.40 ± 0.21 Mean Signal 38.60 ± 0.12 38.47 ± 0.17Conclusion: Preliminary assessments suggest that MAUI is a viable method for the measurement of blood velocity from recorded Doppler ultrasound video with high repeatability and low interrater variability. In future, measurements of velocity may be combined with existing continuous measurements of arterial diameter for the calculation of blood flow and assessments of vascular health and disease.",
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Gawish, A, Deglint, J, Zuj, K, Egana, M, Rocha, J, Wong, A & Hughson, R 2017, 'Determining arterial blood velocity using MAUI software from recorded doppler ultrasound videos' North American Artery Seventh Annual Meeting, Chicago, United States, 19/05/17 - 20/05/17, .

Determining arterial blood velocity using MAUI software from recorded doppler ultrasound videos. / Gawish, Ahmed; Deglint, Jason; Zuj, Kathryn ; Egana, Mikel; Rocha, Joel; Wong, Alex; Hughson, Richard.

2017. Poster session presented at North American Artery Seventh Annual Meeting, Chicago, United States.

Research output: Contribution to conferencePoster

TY - CONF

T1 - Determining arterial blood velocity using MAUI software from recorded doppler ultrasound videos

AU - Gawish, Ahmed

AU - Deglint, Jason

AU - Zuj, Kathryn

AU - Egana, Mikel

AU - Rocha, Joel

AU - Wong, Alex

AU - Hughson, Richard

PY - 2017/5/19

Y1 - 2017/5/19

N2 - Objectives: The purpose of this study was to investigate the repeatability and reproducibility of a new software, developed to provide measurements of arterial blood velocity from recorded Doppler ultrasound videos. Methods: The “Measurements from Arterial Ultrasound Imaging” (MAUI) software (Hedgehog Medical Inc.), developed for the measurement of arterial dimensions, has been expanded to measure the blood velocity from ultrasound videos. MAUI uses an adaptive based segmentation and intelligent outlier removal image analysis method to determine the instantaneous peak velocity in the positive and negative directions and the intensity weighted mean of the signal. Three recorded videos of popliteal arterial velocity were used to evaluate the reproducibility and repeatability of MAUI. For this assessment, two investigators (E1 and E2) each performed 10 measurements of the three test videos using MAUI. Results: MAUI provided blood velocity measurements (cm/s) for each frame of each video. The ten measurements made by E1 and E2 were averaged and are listed below (mean ± SD).Video # Velocity Measure E1 E21 Positive Envelope 27.84 ± 0.15 27.31 ± 0.28 Negative Envelope -13.99 ± 0.28 -13.68 ± 0.19 Mean Signal 13.80 ± 0.24 13.81 ± 0.102 Positive Envelope 42.30 ± 0.13 42.34 ± 0.33 Negative Envelope -11.51 ± 0.28 -11.53 ± 0.24 Mean Signal 29.69 ± 0.02 29.08 ± 0.363 Positive Envelope 53.48 ± 0.11 53.54 ± 0.20 Negative Envelope -13.66 ± 0.10 -13.40 ± 0.21 Mean Signal 38.60 ± 0.12 38.47 ± 0.17Conclusion: Preliminary assessments suggest that MAUI is a viable method for the measurement of blood velocity from recorded Doppler ultrasound video with high repeatability and low interrater variability. In future, measurements of velocity may be combined with existing continuous measurements of arterial diameter for the calculation of blood flow and assessments of vascular health and disease.

AB - Objectives: The purpose of this study was to investigate the repeatability and reproducibility of a new software, developed to provide measurements of arterial blood velocity from recorded Doppler ultrasound videos. Methods: The “Measurements from Arterial Ultrasound Imaging” (MAUI) software (Hedgehog Medical Inc.), developed for the measurement of arterial dimensions, has been expanded to measure the blood velocity from ultrasound videos. MAUI uses an adaptive based segmentation and intelligent outlier removal image analysis method to determine the instantaneous peak velocity in the positive and negative directions and the intensity weighted mean of the signal. Three recorded videos of popliteal arterial velocity were used to evaluate the reproducibility and repeatability of MAUI. For this assessment, two investigators (E1 and E2) each performed 10 measurements of the three test videos using MAUI. Results: MAUI provided blood velocity measurements (cm/s) for each frame of each video. The ten measurements made by E1 and E2 were averaged and are listed below (mean ± SD).Video # Velocity Measure E1 E21 Positive Envelope 27.84 ± 0.15 27.31 ± 0.28 Negative Envelope -13.99 ± 0.28 -13.68 ± 0.19 Mean Signal 13.80 ± 0.24 13.81 ± 0.102 Positive Envelope 42.30 ± 0.13 42.34 ± 0.33 Negative Envelope -11.51 ± 0.28 -11.53 ± 0.24 Mean Signal 29.69 ± 0.02 29.08 ± 0.363 Positive Envelope 53.48 ± 0.11 53.54 ± 0.20 Negative Envelope -13.66 ± 0.10 -13.40 ± 0.21 Mean Signal 38.60 ± 0.12 38.47 ± 0.17Conclusion: Preliminary assessments suggest that MAUI is a viable method for the measurement of blood velocity from recorded Doppler ultrasound video with high repeatability and low interrater variability. In future, measurements of velocity may be combined with existing continuous measurements of arterial diameter for the calculation of blood flow and assessments of vascular health and disease.

M3 - Poster

ER -

Gawish A, Deglint J, Zuj K, Egana M, Rocha J, Wong A et al. Determining arterial blood velocity using MAUI software from recorded doppler ultrasound videos. 2017. Poster session presented at North American Artery Seventh Annual Meeting, Chicago, United States.