TY - GEN
T1 - Fluorescein videoangiography data analysis protocol for mapping retinal vascular permeability in humans
AU - Vavrek, Sarah
AU - Kayaalp-Nalbant, Elif
AU - Konopek, Nicholas
AU - Bou-Ghanem, Ghazi
AU - Fawzi, Amani A.
AU - Mieler, William F.
AU - Kang-Mieler, Jennifer J.
AU - Tichauer, Kenneth M.
N1 - Publisher Copyright:
© 2023 SPIE.
PY - 2023
Y1 - 2023
N2 - Fluorescein video angiographies (FVAs) are a diagnostic tool for eye diseases, such as diabetic retinopathy (DR). Currently, kinetic tracer model methods based on indicator-dilutions theory use FVAs to extract biomarkers (e.g., volumetric blood flow and retinal vascular permeability) via pixel mapping using two-step non-linear least square fitting. Prior to biomarker extraction, the FVAs must attain optimal quality. The objective of this research is to create a program to remove all frames experiencing signal drops (causes include blinking, squinting, and head movement). 15 FVAs (6 healthy control subjects, 6 diabetes mellitus no DR (DMnoDR) subjects, and 3 mild non-proliferative DR (NPDR) subjects) were analyzed for low quality frames. The average signal of each frame was analyzed as top, middle, and bottom thirds. The frame with maximum average signal up to the final frame of a created “Gold Standard” was compared with the raw AVI's frame with maximum average signal and subsequent frames. All frames before maximum average signal and any remaining frames were compared with the previous good-quality raw frame to determine if the frame of interest was of good quality. All remaining frames were subsequently re-evaluated and flagged if they had a local minimum prominence of 10% of the maximum average signal. The flagged frames', as well as former and subsequent frames', quality were subjectively determined. The AVI quality was subsequently tested via pre-DTKM processing and biomarker extraction via DTKM methods. Results displayed that the semi-automated frame removal process provides sufficient quality AVIs.
AB - Fluorescein video angiographies (FVAs) are a diagnostic tool for eye diseases, such as diabetic retinopathy (DR). Currently, kinetic tracer model methods based on indicator-dilutions theory use FVAs to extract biomarkers (e.g., volumetric blood flow and retinal vascular permeability) via pixel mapping using two-step non-linear least square fitting. Prior to biomarker extraction, the FVAs must attain optimal quality. The objective of this research is to create a program to remove all frames experiencing signal drops (causes include blinking, squinting, and head movement). 15 FVAs (6 healthy control subjects, 6 diabetes mellitus no DR (DMnoDR) subjects, and 3 mild non-proliferative DR (NPDR) subjects) were analyzed for low quality frames. The average signal of each frame was analyzed as top, middle, and bottom thirds. The frame with maximum average signal up to the final frame of a created “Gold Standard” was compared with the raw AVI's frame with maximum average signal and subsequent frames. All frames before maximum average signal and any remaining frames were compared with the previous good-quality raw frame to determine if the frame of interest was of good quality. All remaining frames were subsequently re-evaluated and flagged if they had a local minimum prominence of 10% of the maximum average signal. The flagged frames', as well as former and subsequent frames', quality were subjectively determined. The AVI quality was subsequently tested via pre-DTKM processing and biomarker extraction via DTKM methods. Results displayed that the semi-automated frame removal process provides sufficient quality AVIs.
KW - diabetic retinopathy
KW - fluorescein video angiography
KW - kinetic tracer modeling
KW - kinetic tracers
KW - retina
KW - retinal vascular permeability
UR - http://www.scopus.com/inward/record.url?scp=85159757253&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85159757253&partnerID=8YFLogxK
U2 - 10.1117/12.2650304
DO - 10.1117/12.2650304
M3 - Conference contribution
AN - SCOPUS:85159757253
T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE
BT - Ophthalmic Technologies XXXIII
A2 - Hammer, Daniel X.
A2 - Bizheva, Kostadinka
A2 - Schuele, Georg
T2 - Ophthalmic Technologies XXXIII 2023
Y2 - 28 January 2023 through 29 January 2023
ER -