Presentation
7 March 2019 A data-quality-control protocol for in vivo oximetry in small vessels by visible light optical coherence tomography (Conference Presentation)
Author Affiliations +
Abstract
Biological functions rely on local microvasculature for delivering oxygen and nutrients and carrying away metabolic waste. Alterations to local oxygenation level are manifested in diseases including cancer, diabetes mellitus, etc. The ability to in vivo quantify oxygen saturation (sO2) of single vessels down to capillary level to assess local tissue oxygenation and metabolic function is highly sought after. Visible light optical coherence tomography (vis-OCT) has shown promise in reaching this goal. However, to achieve reliable measurement in small vessels are challenging due to the reduced signal and requires data averaging to improve the spectral data quality. Therefore, a method to quality control the vis-OCT data from small vessels becomes essential to reject unreliable readings. In this work, we present a generalized method with several quantitative metrics to evaluate the spectral data for reliable sO2 measurements. Parameters of the scanning protocol and the statistical data cleaning can be flexibly adjusted according to different applications and system performances. We used this method to measure sO2 of C57BL/6J mice lower extremity microvasculature and validated it via introducing hyperoxia for expected sO2 changes. After validation, we applied this method on C57BL/J mouse ear microvasculature to conduct in vivo single capillary OCT oximetry. This work intends to standardize the data processing method for in vivo oximetry in small vessels by vis-OCT.
Conference Presentation
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rongrong Liu, Weiye Song, Vadim Backman, and Ji Yi "A data-quality-control protocol for in vivo oximetry in small vessels by visible light optical coherence tomography (Conference Presentation)", Proc. SPIE 10867, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXIII, 108670A (7 March 2019); https://doi.org/10.1117/12.2511171
Advertisement
Advertisement
KEYWORDS
In vivo imaging

Optical coherence tomography

Oximetry

Visible radiation

Capillaries

Oxygen

Cancer

Back to Top