Measurement of Single-Vessel Flow Parameters for Vascular Characterization of Spinal Cord Injury

Denis Routkevitch; Arjun K. Menta; Nicholas Kats; Emily Baca; Zoe Soulé; Kelley M.Kempski Leadingham; Andrew M. Hersh; Nicholas Theodore; Nitish V. Thakor; Amir Manbachi

doi:10.1109/NER52421.2023.10123780

Measurement of Single-Vessel Flow Parameters for Vascular Characterization of Spinal Cord Injury

Denis Routkevitch
, Arjun K. Menta
, Nicholas Kats
, Emily Baca
, Zoe Soulé
, Kelley M.Kempski Leadingham
, Andrew M. Hersh
, Nicholas Theodore
, Nitish V. Thakor
, Amir Manbachi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

The spatial distribution of blood flow following spinal cord injury (SCI) represents a promising biomarker for improving patient outcomes. This work follows up on a previously reported algorithm, FlowMorph, that enables measurement of blood flow through individual microvessels in the rat spinal cord. Building upon FlowMorph in this study, spinal cord blood flow was quantified pre- and post-injury, and single-vessel changes were related to distance from the injury. Two-dimensional probability densities were calculated using kernel density estimation in order to determine the extent of injury throughout the cord and measure the borders of vascular injury. Using these borders, vessel density and average flow was calculated at the site of injury as well as in the surrounding tissue. Significantly fewer vessels had measurable flow at the site of injury after trauma, and flow in the remaining vessels was highly variable. Further experiments with different injury severities will delineate the effect of injury severity on blood flow. Additionally, experiments with the addition of contrast-enhanced measurements will validate this technique.

Original language	English (US)
Title of host publication	11th International IEEE/EMBS Conference on Neural Engineering, NER 2023 - Proceedings
Publisher	IEEE Computer Society
ISBN (Electronic)	9781665462921
DOIs	https://doi.org/10.1109/NER52421.2023.10123780
State	Published - 2023
Externally published	Yes
Event	11th International IEEE/EMBS Conference on Neural Engineering, NER 2023 - Baltimore, United States Duration: Apr 25 2023 → Apr 27 2023

Publication series

Name	International IEEE/EMBS Conference on Neural Engineering, NER
Volume	2023-April
ISSN (Print)	1948-3546
ISSN (Electronic)	1948-3554

Conference

Conference	11th International IEEE/EMBS Conference on Neural Engineering, NER 2023
Country/Territory	United States
City	Baltimore
Period	4/25/23 → 4/27/23

Keywords

blood flow
kernel density estimation
non-contrast
spinal cord
spinal cord injury
Ultrasound

ASJC Scopus subject areas

Artificial Intelligence
Mechanical Engineering

Access to Document

10.1109/NER52421.2023.10123780

Cite this

Routkevitch, D., Menta, A. K., Kats, N., Baca, E., Soulé, Z., Leadingham, K. M. K., Hersh, A. M., Theodore, N., Thakor, N. V., & Manbachi, A. (2023). Measurement of Single-Vessel Flow Parameters for Vascular Characterization of Spinal Cord Injury. In 11th International IEEE/EMBS Conference on Neural Engineering, NER 2023 - Proceedings (International IEEE/EMBS Conference on Neural Engineering, NER; Vol. 2023-April). IEEE Computer Society. https://doi.org/10.1109/NER52421.2023.10123780

Measurement of Single-Vessel Flow Parameters for Vascular Characterization of Spinal Cord Injury. / Routkevitch, Denis; Menta, Arjun K.; Kats, Nicholas et al.
11th International IEEE/EMBS Conference on Neural Engineering, NER 2023 - Proceedings. IEEE Computer Society, 2023. (International IEEE/EMBS Conference on Neural Engineering, NER; Vol. 2023-April).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Routkevitch, D, Menta, AK, Kats, N, Baca, E, Soulé, Z, Leadingham, KMK, Hersh, AM, Theodore, N, Thakor, NV & Manbachi, A 2023, Measurement of Single-Vessel Flow Parameters for Vascular Characterization of Spinal Cord Injury. in 11th International IEEE/EMBS Conference on Neural Engineering, NER 2023 - Proceedings. International IEEE/EMBS Conference on Neural Engineering, NER, vol. 2023-April, IEEE Computer Society, 11th International IEEE/EMBS Conference on Neural Engineering, NER 2023, Baltimore, United States, 4/25/23. https://doi.org/10.1109/NER52421.2023.10123780

Routkevitch D, Menta AK, Kats N, Baca E, Soulé Z, Leadingham KMK et al. Measurement of Single-Vessel Flow Parameters for Vascular Characterization of Spinal Cord Injury. In 11th International IEEE/EMBS Conference on Neural Engineering, NER 2023 - Proceedings. IEEE Computer Society. 2023. (International IEEE/EMBS Conference on Neural Engineering, NER). doi: 10.1109/NER52421.2023.10123780

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abstract = "The spatial distribution of blood flow following spinal cord injury (SCI) represents a promising biomarker for improving patient outcomes. This work follows up on a previously reported algorithm, FlowMorph, that enables measurement of blood flow through individual microvessels in the rat spinal cord. Building upon FlowMorph in this study, spinal cord blood flow was quantified pre- and post-injury, and single-vessel changes were related to distance from the injury. Two-dimensional probability densities were calculated using kernel density estimation in order to determine the extent of injury throughout the cord and measure the borders of vascular injury. Using these borders, vessel density and average flow was calculated at the site of injury as well as in the surrounding tissue. Significantly fewer vessels had measurable flow at the site of injury after trauma, and flow in the remaining vessels was highly variable. Further experiments with different injury severities will delineate the effect of injury severity on blood flow. Additionally, experiments with the addition of contrast-enhanced measurements will validate this technique.",

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AB - The spatial distribution of blood flow following spinal cord injury (SCI) represents a promising biomarker for improving patient outcomes. This work follows up on a previously reported algorithm, FlowMorph, that enables measurement of blood flow through individual microvessels in the rat spinal cord. Building upon FlowMorph in this study, spinal cord blood flow was quantified pre- and post-injury, and single-vessel changes were related to distance from the injury. Two-dimensional probability densities were calculated using kernel density estimation in order to determine the extent of injury throughout the cord and measure the borders of vascular injury. Using these borders, vessel density and average flow was calculated at the site of injury as well as in the surrounding tissue. Significantly fewer vessels had measurable flow at the site of injury after trauma, and flow in the remaining vessels was highly variable. Further experiments with different injury severities will delineate the effect of injury severity on blood flow. Additionally, experiments with the addition of contrast-enhanced measurements will validate this technique.

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Measurement of Single-Vessel Flow Parameters for Vascular Characterization of Spinal Cord Injury

Abstract

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Keywords

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