Full-view in vivo skin and blood vessels profile segmentation in photoacoustic imaging based on deep learning.

ABSTRACT: Photoacoustic (PA) microscopy allows imaging of the soft biological tissue based on optical absorption contrast and spatial ultrasound resolution. One of the major applications of PA imaging is its characterization of microvasculature. However, the strong PA signal from skin layer overshadowed the subcutaneous blood vessels leading to indirectly reconstruct the PA images in human study. Addressing the present situation, we examined a deep learning (DL) automatic algorithm to achieve high-resolution and high-contrast segmentation for widening PA imaging applications. In this research, we propose a DL model based on modified U-Net for extracting the relationship features between amplitudes of the generated PA signal from skin and underlying vessels. This study illustrates the broader potenti

SUBMITTER: Ly CD 

PROVIDER: S-EPMC8603312 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature