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Automatic anterior chamber angle assessment for HD-OCT images.
Tian, Jing; Marziliano, Pina; Baskaran, Mani; Wong, Hong-Tym; Aung, Tin.
Afiliação
  • Tian J; School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. ti0001ng@ntu.edu.sg
IEEE Trans Biomed Eng ; 58(11): 3242-9, 2011 Nov.
Article em En | MEDLINE | ID: mdl-21880568
Angle-closure glaucoma is a major blinding eye disease and could be detected by measuring the anterior chamber angle in the human eyes. High-definition OCT (Cirrus HD-OCT) is an emerging noninvasive, high-speed, and high-resolution imaging modality for the anterior segment of the eye. Here, we propose a novel algorithm which automatically detects a new landmark, Schwalbe's line, and measures the anterior chamber angle in the HD-OCT images. The distortion caused by refraction is corrected by dewarping the HD-OCT images, and three biometric measurements are defined to quantitatively assess the anterior chamber angle. The proposed algorithm was tested on 40 HD-OCT images of the eye and provided accurate measurements in about 1 second.
Assuntos

Texto completo: 1 Temas: ECOS / Aspectos_gerais Bases de dados: MEDLINE Assunto principal: Algoritmos / Processamento de Imagem Assistida por Computador / Tomografia de Coerência Óptica / Câmara Anterior Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: IEEE Trans Biomed Eng Ano de publicação: 2011 Tipo de documento: Article País de afiliação: Singapura

Texto completo: 1 Temas: ECOS / Aspectos_gerais Bases de dados: MEDLINE Assunto principal: Algoritmos / Processamento de Imagem Assistida por Computador / Tomografia de Coerência Óptica / Câmara Anterior Tipo de estudo: Diagnostic_studies Limite: Humans Idioma: En Revista: IEEE Trans Biomed Eng Ano de publicação: 2011 Tipo de documento: Article País de afiliação: Singapura