Tractography from Saturn
Tractography over a heart
Whole brain tractography
(Image Processing Lab)
E.T.S.I. Telecomunicación
Campus Miguel Delibes s/n
Universidad de Valladolid
47011 Valladolid, Spain
contact@lpi.tel.uva.es
The thesis "Machine Learning and Stochastic Modelling Approaches for Biomedical Signal Analysis", authored by Diego Martín-Martínez and supervised by Juan Pablo Casaseca and Carlos Alberola-López has been recently defended. We thank all the member of the committee, specially Dr. Savino, Dr McClean and Dr. Laguna for finding room in their tights agendas for this event. More information about the thesis in this link.
El proyecto de investigación PROCESADO, ANALISIS Y REPRESENTACION DE IMAGENES DE DIFUSION. CUANTIFICACION DE LA REPARACION NEURONAL TRAS INFARTO, TRATAMIENTO DEL TDAH Y EVALUACION DE TUMORES CEREBRALES, con referencia TEC2010-17982, financiado por el Ministerio de Economía y Competitividad y finalizado en diciembre de 2013, acaba de recibir la evaluación del informe de seguimiento científico-técnico por parte del ministerio con la calificación de MUY SATISFACTORIO.
The LPI has taken part on the 33rd Conference of the Spanish Society of Biomedical Engineering (CASEIB2015), held in Madrid the 4th, 5th and 6th of November 2015. Three oral communications on the field of cardiac magnetic resonance processing were presented:
A new article on the effect that Acquisition Parameters over DTI scalars has been published on the open-source journal PLOS One: "Impact of MR Acquisition Parameters on DTI Scalar Indexes: A Tractography Based Approach". This study presents an analysis on the impact of simultaneous changes in multiple parameters: number of gradient directions, b-value and voxel resolution over scalar measures such as the Fractional Anisotropy (FA) or the Mean Diffusivity (MD) . We employ a tractography-based approach.
The 2015 Jack Perkins Prize for the best paper in the journal Medical Physics and Engineering has been awarded to the 2014 paper entitled "Automatic detection of wakefulness and rest intervals in actigraphic signals: A data driven approach" co--authored by Diego Martín-Martínez (former PhD student at LPI and currently at Ernst and Young), Pablo Casaseca-de-la-Higuera (currently at the University of West Scotland at Paisley), the physicians Jesús Andrés-de-Llano, J.R. Garmendia and Susana Alberola-López, and by Carlos Alberola-López, professor at the University of Valladolid.