Laboratorio de Procesado de Imagen

(Image Processing Lab)
E.T.S.I. Telecomunicación
Campus Miguel Delibes s/n
Universidad de Valladolid
47011 Valladolid, Spain
contact@lpi.tel.uva.es


Exact Noise Maps and g-Factor in GRAPPA using a k–space Analysis

This code allows to exactly characterize the noise noise in GRAPPA (GeneRalized Autocalibrating Partial Parallel Acquisition) acquisitions with non-uniform undersampling patterns by a noise propagation analysis that operates directly in k–space. We exploit the extensive symmetries and separability into independent blocks in the reconstruction steps to take into account the correlation between all the acquired k–space samples.

LPI at CASEIB 2016

[20 Jan 2017]

The LPI has taken part on the 34th Conference of the Spanish Society of Biomedical Engineering (CASEIB2016), held in Valencia the 23rd, 24th and 25th of November 2016. Two oral communications on the field of magnetic resonance processing were presented:

Participación del LPI en el Museo de la Ciencia de Valladolid

[24 Nov 2016]

EL LPI participó el miércoles 23 de noviembre de 2016 en el II ciclo de conferencias "A tu Salud" organizadas por el Museo de la Ciencia de Valladolid. La conferencia tuvo el título "Resonancia magnética: ingeniería para la medicina del futuro", y en ella se expusieron a nivel divulgativo los fundamentos físicos de la resonancia magnética, se mostraron sus similitudes con los sistemas y tecnologías de radiocomunicaciones y sus características diferenciales con respecto a otras técnicas de imagen diagnóstica.

Novel non-stationary noise estimation technique for MRI published

[14 Nov 2016]

A novel technique to estimate non-stationary patterns of noise in parallel MRI data has been published in the journal IEEE Transactions on Pattern Analysis and Machine Intelligence: Non-Stationary Rician Noise Estimation in Parallel MRI using a Single Image: a Variance-Stabilizing Approach. The article is a collaboration of the University of Valladolid with  AGH University of Science and Technology (Krakow, Poland), with the Applied Chest Imaging Laboratory (ACIL), Brigham and Women’s Hospital, Harvard Medical School (Boston, USA) and with the Biomedical Image Technologies Laboratory, Universidad Politécnica de Madrid (Spain).

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