April 2, 2024

Automated estimation of microcirculation capillary density using relative perfusion maps

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Authors

RJRohit JenaPenn Center for AIDS Research YWYifan WuAllen Institute for Brain Science JGJohn C. GreenwoodUniversity of Pennsylvania

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Implication

Benchmark evaluation demonstrates improved capillary density estimation in handheld microcirculation videos, highlighting clinical viability for hemodynamically compromised patients.

Key Points

Total vessel density estimation and centerline recall improve consistently over baseline methods, demonstrating superior agreement with ground-truth manual annotations.
Supervised and unsupervised models applying relative perfusion maps normalize spatial contrast in handheld videos, recovering intermittently visible vessels across plasma gaps.
Automated microcirculation assessment achieves lower bias than standard mean-image averaging, providing a clinically viable benchmark for hemodynamically compromised patients.

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Jena et al. (2024) studied this question.

synapsesocial.com/papers/68e70c5ab6db643587686362 https://doi.org/10.1117/12.3000736

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Implication

Benchmark evaluation demonstrates improved capillary density estimation in handheld microcirculation videos, highlighting clinical viability for hemodynamically compromised patients.

Automated estimation of microcirculation capillary density using relative perfusion maps

Discussion

Member takes

Implication

Key Points

Cite This Study

Automated estimation of microcirculation capillary density using relative perfusion maps

Discussion

Member takes

Implication

Key Points

Cite This Study

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