Standardization of blood flow measurements by automated vascular analysis from power Doppler ultrasound scan
Power Doppler ultrasound imaging provides a non-invasive method to explore tissue vascularity in real-time. It has farreaching clinical utility, for example to assess the perfusion of organs such as the placenta. In this study, a fully automated method was proposed to standardize the power Doppler s...
| Main Authors: | , , |
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| Format: | Conference item |
| Language: | English |
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Society of Photo-optical Instrumentation Engineers
2020
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| _version_ | 1797067624688910336 |
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| author | Yin, Y Looney, P Collins, SL |
| author_facet | Yin, Y Looney, P Collins, SL |
| author_sort | Yin, Y |
| collection | OXFORD |
| description | Power Doppler ultrasound imaging provides a non-invasive method to explore tissue vascularity in real-time. It has farreaching clinical utility, for example to assess the perfusion of organs such as the placenta. In this study, a fully automated method was proposed to standardize the power Doppler signals in the placental bed to estimate the perfusion by a technique known as fractional moving blood volume (FMBV). The uterine vasculature was extracted by a region growing algorithm from 3D power Doppler scan and further localized based on the placenta segmentation obtained by a multi-class fully Convolution Neural Network (CNN). The largest vessel close to the volume of interest (VOI) in placenta was identified within which the average power Doppler signal was used as a standardization value to correct the signal attenuation in placenta bed to estimate the FMBV measurement. This is the first successful attempt to automatically identify individual blood vessel segments from a complex uterine vascular plexus. The proposed method was performed in twenty 3D power Doppler scans of first trimester placenta with promising results. The mean ± STD FMBV value was 21.35% ± 9.43%. With further analysis and evaluation in large dataset, the proposed method will serve as an efficient tool for assessing the blood perfusion in placenta bed. |
| first_indexed | 2024-03-06T21:59:01Z |
| format | Conference item |
| id | oxford-uuid:4df4939c-f401-42c8-b0c8-1fb6c56e2fa0 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-06T21:59:01Z |
| publishDate | 2020 |
| publisher | Society of Photo-optical Instrumentation Engineers |
| record_format | dspace |
| spelling | oxford-uuid:4df4939c-f401-42c8-b0c8-1fb6c56e2fa02022-03-26T15:58:25ZStandardization of blood flow measurements by automated vascular analysis from power Doppler ultrasound scanConference itemhttp://purl.org/coar/resource_type/c_5794uuid:4df4939c-f401-42c8-b0c8-1fb6c56e2fa0EnglishSymplectic ElementsSociety of Photo-optical Instrumentation Engineers2020Yin, YLooney, PCollins, SLPower Doppler ultrasound imaging provides a non-invasive method to explore tissue vascularity in real-time. It has farreaching clinical utility, for example to assess the perfusion of organs such as the placenta. In this study, a fully automated method was proposed to standardize the power Doppler signals in the placental bed to estimate the perfusion by a technique known as fractional moving blood volume (FMBV). The uterine vasculature was extracted by a region growing algorithm from 3D power Doppler scan and further localized based on the placenta segmentation obtained by a multi-class fully Convolution Neural Network (CNN). The largest vessel close to the volume of interest (VOI) in placenta was identified within which the average power Doppler signal was used as a standardization value to correct the signal attenuation in placenta bed to estimate the FMBV measurement. This is the first successful attempt to automatically identify individual blood vessel segments from a complex uterine vascular plexus. The proposed method was performed in twenty 3D power Doppler scans of first trimester placenta with promising results. The mean ± STD FMBV value was 21.35% ± 9.43%. With further analysis and evaluation in large dataset, the proposed method will serve as an efficient tool for assessing the blood perfusion in placenta bed. |
| spellingShingle | Yin, Y Looney, P Collins, SL Standardization of blood flow measurements by automated vascular analysis from power Doppler ultrasound scan |
| title | Standardization of blood flow measurements by automated vascular analysis from power Doppler ultrasound scan |
| title_full | Standardization of blood flow measurements by automated vascular analysis from power Doppler ultrasound scan |
| title_fullStr | Standardization of blood flow measurements by automated vascular analysis from power Doppler ultrasound scan |
| title_full_unstemmed | Standardization of blood flow measurements by automated vascular analysis from power Doppler ultrasound scan |
| title_short | Standardization of blood flow measurements by automated vascular analysis from power Doppler ultrasound scan |
| title_sort | standardization of blood flow measurements by automated vascular analysis from power doppler ultrasound scan |
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