000161987 001__ 161987
000161987 005__ 20251017144610.0
000161987 0247_ $$2doi$$a10.3390/s25123619
000161987 0248_ $$2sideral$$a144611
000161987 037__ $$aART-2025-144611
000161987 041__ $$aeng
000161987 100__ $$0(orcid)0000-0002-6591-0801$$aOtin, Sofia$$uUniversidad de Zaragoza
000161987 245__ $$aA Superpixel-Based Algorithm for Detecting Optical Density Changes in Choroidal Optical Coherence Tomography Images of Diabetic Patients
000161987 260__ $$c2025
000161987 5060_ $$aAccess copy available to the general public$$fUnrestricted
000161987 5203_ $$aThis study explored the diagnostic potential of image-processing analysis in optical coherence tomography (OCT) images to detect systemic vascular changes in individuals with systemic diseases. Methods: Ocular OCT images from two cohorts diabetic patients and healthy control subjects were analyzed. A novel Superpixel Segmentation (SpS) algorithm was used to process these images and extract optical image density information from ocular vascular tissue. The algorithm was applied to isolate the choroid layer for analysis of its optical properties. The procedure was performed by separate examiners, and both inter- and intra-observer repeatability were assessed. Choroidal area (CA) and choroidal optical image density (COID) metrics were used to assess structural changes in the vascular tissue and predict alterations in the choroidal parameters. Results: A total of 110 diabetic patient eye images and 92 healthy control images were processed. The results showed significant differences in CA and COID between diabetic and healthy eyes, indicating that these parameters could serve as valuable biomarkers for early vascular damage. Conclusions: The use of the SpS algorithm on OCT B-scan images allows for the identification of new parameters linked to ocular vascular damage. These findings suggest that digital image-processing techniques can reveal differences in vascular tissue, offering potential new indicators of pathology.
000161987 536__ $$9info:eu-repo/grantAgreement/ES/DGA/B23-23R$$9info:eu-repo/grantAgreement/ES/DGA/B50-24$$9info:eu-repo/grantAgreement/ES/DGA-FEDER/E44-23R$$9info:eu-repo/grantAgreement/ES/ISCIII/PI20-00437$$9info:eu-repo/grantAgreement/ES/ISCIII/RD24-0007-0022
000161987 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttps://creativecommons.org/licenses/by/4.0/deed.es
000161987 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000161987 700__ $$aMallen-Gracia, Victor$$uUniversidad de Zaragoza
000161987 700__ $$aPerez-Maña, Luis
000161987 700__ $$0(orcid)0000-0002-9068-7728$$aÁvila, Francisco J.$$uUniversidad de Zaragoza
000161987 700__ $$0(orcid)0000-0001-6258-2489$$aGarcia-Martin, Elena$$uUniversidad de Zaragoza
000161987 7102_ $$11013$$2646$$aUniversidad de Zaragoza$$bDpto. Cirugía$$cÁrea Oftalmología
000161987 7102_ $$12002$$2647$$aUniversidad de Zaragoza$$bDpto. Física Aplicada$$cÁrea Óptica
000161987 773__ $$g25, 12 (2025), 3619 [9 pp.]$$pSensors$$tSensors$$x1424-8220
000161987 8564_ $$s971507$$uhttps://zaguan.unizar.es/record/161987/files/texto_completo.pdf$$yVersión publicada
000161987 8564_ $$s2548951$$uhttps://zaguan.unizar.es/record/161987/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000161987 909CO $$ooai:zaguan.unizar.es:161987$$particulos$$pdriver
000161987 951__ $$a2025-10-17-14:16:53
000161987 980__ $$aARTICLE