
Graph-based rotational nonuniformity correction for localized compliance measurement in the human nasopharynx
Author(s) -
Yusi Miao,
Joseph Jing,
Zhongping Chen
Publication year - 2021
Publication title -
biomedical optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.362
H-Index - 86
ISSN - 2156-7085
DOI - 10.1364/boe.419997
Subject(s) - optical coherence tomography , computer science , distortion (music) , coherence (philosophical gambling strategy) , biomedical engineering , optics , computer vision , physics , engineering , telecommunications , amplifier , bandwidth (computing) , quantum mechanics
Recent advancements in the high-speed long-range optical coherence tomography (OCT) endoscopy allow characterization of tissue compliance in the upper airway, an indicator of collapsibility. However, the resolution and accuracy of localized tissue compliance measurement are currently limited by the lack of a reliable nonuniform rotational distortion (NURD) correction method. In this study, we developed a robust 2-step NURD correction algorithm that can be applied to the dynamic OCT images obtained during the compliance measurement. We demonstrated the utility of the NURD correction algorithm by characterizing the local compliance of nasopharynx from an awake human subject for the first time.