GT7 Medical Imaging I

Christos P Loizou's picture
Christos P Loizou
Cyprus University of Technology (CY)
Daniela Giordano's picture
Daniela Giordano
Universita Degli Studi di Catania (IT)
Conference room
Session time
Saturday, June 24, 2017 - 11:30 to 12:30
Illumination correction by dehazing for retinal vessel segmentation
Abstract: 
"Assessment of retinal vessels is fundamental for the diagnosis of many disorders such as heart diseases, diabetes and hypertension. The imaging of retina using advanced fundus camera has become a standard in computer-assisted diagnosis of opthalmic disorders. Modern cameras produce high quality color digital images, but during the acquisition process the light reflected by the retinal surface generates a luminosity and contrast variation.
Benedetta Savelli's picture
Benedetta Savelli
Alessandro Bria's picture
Alessandro Bria
Claudio Marrocco's picture
Claudio Marrocco
Mario Molinara's picture
Mario Molinara
Francesco Tortorella's picture
Francesco Tortorella
University of Cassino and South Lazio (IT)
Adrian Galdran's picture
Adrian Galdran
Aurelio Campilho's picture
Aurelio Campilho
A differential geometry approach for change detection in medical images.
Abstract: 
Change detection is of paramount importance in medical imaging, serving as a non-invasive quantifiable powerful tool in diagnosis and in assessment of the outcome of treatment of tumors. We present a new quantitative method for detecting changes in volumetric medical data and in clustering of anatomical structures, based on assessment of volumetric distortions that are required in order to deform a test three-dimensional medical dataset segment onto its previously-acquired reference, or a given prototype in the case clustering.
Alexander Naitsat's picture
Alexander Naitsat
Technion – Israel Institute of Technology (IL)
Emil Saucan's picture
Emil Saucan
Yehoshua Zeevi's picture
Yehoshua Zeevi
Brain Image and Lesions Registration and 3D Reconstruction in Dicom MRI Images
Abstract: 
During a human brain MRI acquisition the resulting image is formed out of 2D slices. The slices must then be aligned and reconstructed to provide a 3-dimensional (3D) visualization of the brain volume. We propose in this work, an integrated system for the register ion and 3D reconstruction of DICOM MRI images and lesions of the brain acquired from multiple sclerosis (MS) subjects at two different time intervals (time 0 (T0) and time 1 (T1)). The system facilitates the follow up of the MS disease development and will aid the doctor to accurately manage the follow up of the disease.
Christos P Loizou's picture
Christos P Loizou
Cyprus University of Technology (CY)
Christos Papacharalambous's picture
Christos Papacharalambous
Giorgos Samaras's picture
Giorgos Samaras
Efthivoulos Kyriakou's picture
Efthivoulos Kyriakou
Frederick University (CY)
Takis Kasparis's picture
Takis Kasparis
Cyprus University of Technology (CY)
Marios Pantziaris's picture
Marios Pantziaris
Eleni Eracleous's picture
Eleni Eracleous
Constantinos Pattichis's picture
Constantinos Pattichis
University of Cyprus (CY)
An Eye Tracker–based Computer System to Support Oculomotor and Attention Deficit Investigations
Abstract: 
Eye tracking is a non-invasive procedure to acquire eye-gaze data. The accuracy offered by the new eye tracking technologies gives to physicians and scientists a great opportunity to employ eye trackers to perform quantitative assessment of eye movements for diagnostic and rehabilitation purposes. However, eye trackers do not support physicians in their analysis, as they typically lack specific software solutions tailored to the diseases under investigation.
Daniela Giordano's picture
Daniela Giordano
Universita Degli Studi di Catania (IT)
Carmelo Pino's picture
Carmelo Pino
Isaak Kavasidis's picture
Isaak Kavasidis
Concetto Spampinato's picture
Concetto Spampinato
Massimo Di Pietro's picture
Massimo Di Pietro
Renata Rizzo's picture
Renata Rizzo
Anna Scuderi's picture
Anna Scuderi
Rita Barone's picture
Rita Barone