Learning-based distortion correction enables proximal-scanning endoscopic OCT elastography.

ABSTRACT: Proximal rotary scanning is predominantly used in the clinical practice of endoscopic and intravascular OCT, mainly because of the much lower manufacturing cost of the probe compared to distal scanning. However, proximal scanning causes severe beam stability issues (also known as non-uniform rotational distortion, NURD), which hinders the extension of its applications to functional imaging, such as OCT elastography (OCE). In this work, we demonstrate the abilities of learning-based NURD correction methods to enable the imaging stability required for intensity-based OCE. Compared with the previous learning-based NURD correction methods that use pseudo distortion vectors for model training, we propose a method to extract real distortion vectors from a specific endoscopic OCT system, and vali

SUBMITTER: Zhang H 

PROVIDER: S-EPMC11249688 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature