Diameter-dependent classification of dermal vasculature using optical coherence tomography angiography.

ABSTRACT:

Background

Dermal blood vessels beneath the epidermis play critical roles in epidermal homeostasis and are functionally divided into several types, such as capillaries. Optical coherence tomography angiography (OCTA) is a powerful tool for the non-invasive assessment of dermal vasculature. However, the classification of vessel types has been limited. To address this issue, we proposed an algorithm for diameter-dependent classification that preserves three-dimensional (3D) information using OCTA.

Methods

OCTA data were acquired by a prototype swept-source-type optical coherence tomography (OCT) system, which was processed through several imaging filters: an optical microangiography (OMAG) imaging filter, a vesselness imaging filter, and a diameter map filter. All vessels were

SUBMITTER: Hoshino T 

PROVIDER: S-EPMC11400647 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature