TY - JOUR
T1 - OCTAVA
T2 - An open-source toolbox for quantitative analysis of optical coherence tomography angiography images
AU - Untracht, Gavrielle R.
AU - Matos, Rolando S.
AU - Dikaios, Nikolaos
AU - Bapir, Mariam
AU - Durrani, Abdullah K.
AU - Butsabong, Teemapron
AU - Campagnolo, Paola
AU - Sampson, David D.
AU - Heiss, Christian
AU - Sampson, Danuta M.
PY - 2021/12
Y1 - 2021/12
N2 - Optical coherence tomography angiography (OCTA) performs non-invasive visualization and characterization of microvasculature in research and clinical applications mainly in ophthalmology and dermatology. A wide variety of instruments, imaging protocols, processing methods and metrics have been used to describe the microvasculature, such that comparing different study outcomes is currently not feasible. With the goal of contributing to standardization of OCTA data analysis, we report a user-friendly, open-source toolbox, OCTAVA (OCTA Vascular Analyzer), to automate the pre-processing, segmentation, and quantitative analysis of en face OCTA maximum intensity projection images in a standardized workflow. We present each analysis step, including optimization of filtering and choice of segmentation algorithm, and definition of metrics. We perform quantitative analysis of OCTA images from different commercial and non-commercial instruments and samples and show OCTAVA can accurately and reproducibly determine metrics for characterization of microvasculature. Wide adoption could enable studies and aggregation of data on a scale sufficient to develop reliable microvascular biomarkers for early detection, and to guide treatment, of microvascular disease.
AB - Optical coherence tomography angiography (OCTA) performs non-invasive visualization and characterization of microvasculature in research and clinical applications mainly in ophthalmology and dermatology. A wide variety of instruments, imaging protocols, processing methods and metrics have been used to describe the microvasculature, such that comparing different study outcomes is currently not feasible. With the goal of contributing to standardization of OCTA data analysis, we report a user-friendly, open-source toolbox, OCTAVA (OCTA Vascular Analyzer), to automate the pre-processing, segmentation, and quantitative analysis of en face OCTA maximum intensity projection images in a standardized workflow. We present each analysis step, including optimization of filtering and choice of segmentation algorithm, and definition of metrics. We perform quantitative analysis of OCTA images from different commercial and non-commercial instruments and samples and show OCTAVA can accurately and reproducibly determine metrics for characterization of microvasculature. Wide adoption could enable studies and aggregation of data on a scale sufficient to develop reliable microvascular biomarkers for early detection, and to guide treatment, of microvascular disease.
UR - http://www.scopus.com/inward/record.url?scp=85121052910&partnerID=8YFLogxK
U2 - 10.1371/journal.pone.0261052
DO - 10.1371/journal.pone.0261052
M3 - Article
C2 - 34882760
AN - SCOPUS:85121052910
VL - 16
JO - PLoS One
JF - PLoS One
SN - 1932-6203
IS - 12 December
M1 - e0261052
ER -