Details
Name
Jorge SilvaCluster
Networked Intelligent SystemsRole
Senior ResearcherSince
01st January 2014
Centre
Biomedical Engineering ResearchContacts
+351222094106
jorge.silva@inesctec.pt
2019
Authors
Ferreira, CA; Penas, S; Silva, J; Mendonça, AM;
Publication
2019 IEEE 6th Portuguese Meeting on Bioengineering (ENBENG)
Abstract
2018
Authors
Faria, SP; Penas, S; Mendonca, L; Silva, JA; Mendonca, AM;
Publication
Lecture Notes in Computational Vision and Biomechanics
Abstract
The choroid is the middle layer of the eye globe located between the retina and the sclera. It is proven that choroidal thickness is a sign of multiple eye diseases. Optical Coherence Tomography (OCT) is an imaging technique that allows the visualization of tomographic images of near surface tissues like those in the eye globe. The automatic calculation of the choroidal thickness reduces the subjectivity of manual image analysis as well as the time of large scale measurements. In this paper, a method for the automatic estimation of the choroidal thickness from OCT images is presented. The pre-processing of the images is focused on noise reduction, shadow removal and contrast adjustment. The inner and outer boundaries of the choroid are delineated sequentially, resorting to a minimum path algorithm supported by new dedicated cost matrices. The choroidal thickness is given by the distance between the two boundaries. The data are then interpolated and mapped to an infrared image of the eye fundus. The method was evaluated by calculating the error as the distance from the automatically estimated boundaries to the boundaries delineated by an ophthalmologist. The error of the automatic segmentation was low and comparable to the differences between manual segmentations from different ophthalmologists. © 2018, Springer International Publishing AG.
2018
Authors
Mendonca, L; Faria, S; Penas, S; Silva, J; Mendonca, AM;
Publication
INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE
Abstract
2018
Authors
Moura, Jd; Novo, J; Penas, S; Ortega, M; Silva, JA; Mendonça, AM;
Publication
Procedia Computer Science
Abstract
An accurate detection of the macular edema (ME) presence constitutes a crucial ophthalmological issue as it provides useful information for the identification, diagnosis and treatment of different relevant ocular and Systemic diseaseS. serous Retinal Detachment (sRD) is a particular type of ME, which is characterized by the leakage of fluid that has a propensity of being accumulated in the macular region. This paper proposes a new methodology for the automatic identification and characterization of the sRD edema using Optical Coherence Tomography (OCT) imageS. The subretinal fluids and the External Limiting Membrane (ELM) retinal layers are identified and characterized to measure the disease severity. Four different visualization modules were designed including representative derived parameters to facilitate the doctor's work in the diagnostic evaluation of ME. The different steps of this method were validated using the manual labelling provided by an expert clinician. The validation of the proposed method offered satisfactory results, constituting a suitable scenario with intuitive visual representations that also include different relevant biomarkerS. © 2018 The Author(s).
2018
Authors
Wanderley, DS; Carvalho, CB; Domingues, A; Peixoto, C; Pignatelli, D; Beires, J; Silva, J; Campilho, A;
Publication
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 23rd Iberoamerican Congress, CIARP 2018, Madrid, Spain, November 19-22, 2018, Proceedings
Abstract
Supervised Thesis
2017
Author
Carlos Alexandre Nunes Ferreira
Institution
UP-FEUP
2016
Author
Simão Pedro Marques Pinto de Faria
Institution
UP-FEUP
2015
Author
Mário André Pinto Ferraz de Aguiar
Institution
UP-FEUP
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