The LPI has been awarded the prize "Friend of Radiology" by the Radiological Society of Spain (SERAM). The ceremony in which prizes were given was celebrated on the the "Day of Radiology" in Madrid.
The society awards with this prize those non-radiologists who have a remarkable activity in promoting radiology by any means. In our case, we have steady collaboration with the society to promote ICT in the field of Radiology.
El LPI ofrece un contrato de investigación doctoral vinculado a un proyecto de investigación de la convocatoria Retos de la Sociedad 2019. La oferta corresponde con un contrato FPI predoctoral, convocatoria 2019: [Enlace a la convocatoria]
Proyecto RTI2018-094569-B-I00, Resonancia Magnética de Difusión para Medicina Personalizada: del Análisis a la Predicción. Aplicación al Estudio de Migraña. La concesión del contrato está regulada por la convocatoria oficial.
The LPI is recruiting a PhD student to carry out his/her research in the diffusion MRI field. Questions should be directed to Professor Santiago Aja-Fernandez at sanaja@tel.uva.es.
The position has been granted by the Spain Science Ministry and it is linked to the research grant entitled "Diffusion magnetic resonance imaging for precision medicine: from analysis to prediction. Application to migraine ". The PhD must be carried out in the University of Valladolid. The position is subject to an official application to the Ministry.
We propose the so-called "Apparent Measures Using Reduced Acquisitions" (AMURA) to drastically reduce the number of samples needed for the estimation of q-space measures such as RTOP, RTAP and RTPP. AMURA avoids the calculation of the whole EAP by assuming the diffusion anisotropy is roughly independent from the radial direction.
Available to download as a preprint ar [bioRxiv]
Last 13th September 2019 Iñali Rabanillo defended his PhD Thesis entitled "Artifact reduction in Magnetic Resonance Imaging: noise modelling in 2D/3D GRAPPA
accelerated acquisitions and motion-induced ghosting correction in multishot diffusion MRI", getting a qualification of "Sobresaliente" and being proposed for "cum laude" distinction.
El TFG realizado por Patricia Amado Caballero "Ayuda al diagnóstico del TDAH en la infancia mediante técnicas de procesado de señal y aprendizaje" ha dado lugar a un sistema que alcanza un 98% de acierto en el diagnóstico del TDAH. El TFG aplica técnicas de aprendizaje profundo (deep learning) para analizar firmas espectrales en patrones de movimiento. Para adquirir estos patrones se han utilizado pulseras de actividad que no interfieren para nada en la vida diaria del niño.
OpenCLIPER allows us to take advantage of any parallel computing device (CPUs, GPUs, FPGAs, DSPs, etc., as long as there is an OpenCL implementation for it), while developing medical imaging methods, but without the burden that OpenCL generally conveys. The work has been published in the IEEE Journal of Biomedical and Health Informatics journal.
Tomasz Pieciak has received a distinction for his thesis entitled "Non-stationary noise estimation in accelerated parallel MRI data" in the contest sponsored by the ABB HQ in Poland. The contest is organized in the area of technical sciences and includes theses defended in various fields such as advanced technologies and engineering systems, automation and industrial diagnostics, power electronics and technologies, and computer science systems. The thesis was co-supervised by Prof. Santiago Aja-Fernández.
A paper entitled "A Second Order Multi-Stencil Fast Marching Method With a Non-Constant Local Cost Model" has been recently published in the IEEE Transactions on Image Processing. The proposed scheme has been applied to optimal course planning of an unmanned aerial vehicle (UAV) in a flooding episode, and achieves better tradeoff between the distance travelled by the UAV and the amount of visited flooded land than previous state-of-the-art schemes of the Fast Marching method.