Synthtic OCT Data for image processing performance testing

• Autor(es): Serranho, Pedro ; Maduro, Cristina ; Santos, Torcato ; Vaz, José Cunha ; Bernardes, Rui
• Data: 2011
• Identificador Persistente: http://hdl.handle.net/10400.2/1995
• Origem: Repositório Aberto da Universidade Aberta
• Assunto(s): Image processing; Optical coherence tomography; Synthetic data
• Tipo de Documento: Documento de conferência
• Idioma: Inglês

Descrição

The use of synthetic images is needed for testing the performance of image processing methods in order to establish a ground truth to test performance metrics. However, these synthetic images do not represent real applications. The aim of this paper is to build a mathematical model to obtain a synthetic noise-free image mimicking a real Optical Coherence Tomography (OCT) B-scan or volume from the human retina, in order to establish a ground truth for filtering performance metrics in this context. Moreover we also suggest a method to add speckle noise to this image based on the speckle noise of the given OCT volume. In this way we establish a replicable method to obtain a ground truth for image processing performance metrics that actually mimics a real case.