Nuestros investigadores

Mikel Ariz Galilea

Líneas de investigación
Biomedical Image Analysis; 3D Models; Pattern Recognition; Microscopy
Índice H
4, (Scopus, 19/01/2018)

Publicaciones científicas más recientes (desde 2010)

Autores: Ariz, Mikel; Abad, R. C. ; Castellanos, G. ; et al.
ISSN 0278-0062  Vol. 38  Nº 3  2019  págs. 813 - 823
We present a dynamic atlas composed of neuromelanin-enhancedmagnetic resonance brain images of 40 healthy subjects. The performance of this atlas is evaluated on the fully automated segmentation of two paired neuromelanin-rich brainstem healthy structures: the substantia nigra pars compacta and the locus coeruleus. We show that our dynamic atlas requires in average 60% less images and, therefore, 60% less computation time than a static multi-image atlas while achieving a similar segmentation performance. Then, we show that by applying our dynamic atlas, composed of healthy subjects, to the segmentation and neuromelanin quantification of a set of brain images of 39 Parkinson disease patients, we are able to find significant quantitative differences in the level of neuromelanin between healthy subjects and Parkinson disease patients, thus opening the door to the use of these structures as image biomarkers in future computer aided diagnosis systems for the diagnosis of Parkinson disease.




Mikel Ariz was graduated with honors in Telecommunication Engineering by the Public University of Navarra (UPNA) in 2008. He spent 10 months during 2005/06 academic year at the Institut National Polytechnique de Grenoble, in France. In 2009, he was awarded one of the 20 'Becas Navarra 2009', valued in 40.000 euros and part of the 'Plan Internacional de Navarra (PIN) 2008-2011', whose goal was that the best academic records of universities in Navarra were able to do postgraduate studies in foreign universities of excellence. He graduated in the Master of Biomedical Engineering of the University of Melbourne, Australia, in 2010, standing out the realization of a final research project in diffusion magnetic resonance imaging at the renowned Florey Institute of Neuroscience. In 2011 he was awarded a grant 'Formación de Profesorado Universitario (FPU)' from the Ministry of Economy and Competitivity of the Government of Spain, for carrying out Ph.D. studies at the Public University of Navarra. He got his Ph.D. in 2016 with a thesis entitled 'Contributions to Head Pose Estimation Methods', in the field of image processing and computer vision. He did a two-month research stay in 2012 at the Imperial College London, under the supervision of Dr. Maja Pantic from the i-BUG group. He is, since 2015, a research technician at the Imaging Platform of the Center for Applied Medical Research (CIMA), mainly developing algorithms for the analysis and quantification of medical images. He is involved in several research projects, and he is an associate professor at the Department of Histology and Pathological Anatomy and at the Engineering School (TECNUN) of the University of Navarra.