A High-Fidelity Computational Model for Predicting Blood Cell Trafficking and 3D Capillary Hemodynamics in Retinal Microvascular Networks
This study highlights the usefulness of high-fidelity cell-resolved modeling to obtain accurate and detailed 3D, time-resolved retinal hemodynamic parameters that are not readily available through noninvasive imaging approaches. The results presented are expected to complement and enhance the interpretation of in vivo data, as well as open new avenues to study retinal hemodynamics in health and disease.
Authors
- Phillip Bedggood (ORCID: https://orcid.org/0000-0001-5144-3694)
- Andrew Metha (ORCID: https://orcid.org/0000-0003-2997-4362)
- Prosenjit Bagchi (ORCID: https://orcid.org/0000-0003-4573-7455)
- Yifu Ding (ORCID: https://orcid.org/0000-0001-7779-7781)
- Saman Ebrahimi (ORCID: https://orcid.org/0000-0001-9368-8569)
Institutions
- Rutgers, The State University of New Jersey (US)
- The University of Melbourne (AU)
- Australian College of Optometry (AU)
Publication Details
- Journal
- Investigative Ophthalmology & Visual Science
- Published
- 2024-11-15
- DOI
- https://doi.org/10.1167/iovs.65.13.37
- Primary Topic
- Blood properties and coagulation
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Purdue University