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


New dMRI methodology uncovers additional alterations in migraine

[10 Nov 2020]

AMURA (https://www.lpi.tel.uva.es/AMURA), the new tool developed by LPI members, has been used to compare diffusion measures in patients with episodic and chronic migraine and healthy controls using clinical routine diffusion MRI acquisition parameters. Using AMURA, additional statistically significant differences were found with respect to the diffusion tensor imaging (DTI) descriptors. This article demonstrates that AMURA can provide additional results with respect to DTI to uncover white matter alterations in migraine, even in suboptimal conditions for the tool with a single low b-value.
The new paper, entitled "Alternative Microstructural Measures to Complement Diffusion Tensor Imaging in Migraine Studies with Standard MRI Acquisition", has been published in Brain Sciences. The article is available here (Open Access): https://doi.org/10.3390/brainsci10100711

LPI research on COVID-19

[25 May 2020]

The first LPI article about the psychological impact of the COVID-19 confinement has been published. This article has been made in collaboration with the Department of Psychology of the University of Valladolid. The main finding was that students from Arts & Humanities and Social Sciences and Law areas showed higher psychological impact, especially compared to the students from the Engineering & Architecture field (click on the title of the article for more highlights). The article is freely available until 11 July in the following link: https://doi.org/10.1016/j.psychres.2020.113108

New dMRI methodology to calculate q-space measures

[11 Mar 2020]

A new paper entitled Micro-structure diffusion scalar measures from reduced MRI acquisitions has been published in PLOS ONE. The work is written by member of the LPI (Santiago Aja-Fernández, Rodrigo de Luis-García, Antonio Tristán-Vega)  in collaboration with reserachers from AGH University of Science and Technology, Krakow, Poland (Tomasz Pieciak) and CUBRIC, University of Cardiff, UK Maryam Afzali, Malwina Molendowska). In the work, we propose a method to effectively calculate apparent RTOP, RTPP, and RTAP from single shell diffusion MRI. The method achieves closed-form expressions and a computationally efficient and robust implementation. Methods are implemented in MATLAB and they will be publicly release soon. We can submitted them no upon request.  [Link to paper]

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