By doing your thesis with us, you will be able to use high level technology, you will be surrounded by professionals from different areas that will enrich your experience, and you will be part of important research projects that contribute to the country’s scientific advances.
We are waiting for you!
During the last years we have developed flow quantification tools obtained by magnetic resonance using finite elements. For the massification of these results we are creating a software tool in Matlab and we need students who want to work on some aspects of this software:
1.1 IPRE Project – Reformat 3D data to 2D.
The objective of this project is to generate an application that allows the reformatting of 3D to 2D data in the angle that the user selects, using the Matlab software, and includes both 3D image information and hemodynamic parameters that are quantified using finite elements. .
1.2 IPRE Project – Render 3D data.
The objective is to generate an application using the Matlab software that allows the 3D rendering of hemodynamic parameters of the aorta, from tetrahedral finite element meshes, in order to extract useful information from this visualization.
1.3 IPRE Project – Laplace application.
The objective of this project is to generate an interface in the Matlab software that allows to manually select the input, output and supra-aortic vessels of a 3D tetrahedral mesh of the aorta, to subsequently apply the Laplace equation on these data and thus obtain the centerline and perpendicular planes of the aorta automatically.
2 Masters Thesis – Segmentation of Aorta using 4D flow images
In this project we are looking for a student to develop his master thesis in the segmentation of the aorta using 4D flow images. The objective is to develop computational tools using Deep Learning for the automatic segmentation of the Aorta.
3 Master Thesis – Cardiovascular Magnetic Resonance Imaging
Student is sought to obtain images of myocardial acceleration and sub-sample cardiovascular flow. This project involves work with the magnetic resonator, to obtain the data and the reconstruction of images using advanced methods of optimization and “denoising”.
4 Master Thesis or title memory – Validation of invasive pressure in aortic phamtoms.
This project consists in the study of pressures through pressure sensors and magnetic resonance images in phantoms of silicone or other material that simulate different degrees of stiffness of blood arteries under normal conditions and simulating an aortic coarctation.
5 Magister’s Thesis title or project report – Effort system design compatible with magnetic resonance.
This project consists in the construction of an effort study system compatible with magnetic resonance that allows to study the biomechanical properties of blood vessels through sensors and magnetic resonance imaging.
Lately, we have worked on the development of magnetic resonance techniques for the quantification of liver fat and segmentation of subcutaneous and visceral abdominal adipose tissue. We are looking for students interested in the following research projects.
1. Master Thesis – Quantification of Iron by Magnetic Resonance.
Student is sought for the development of computational tools that allow the quantification of hepatic iron using Magnetic Resonance Imaging. This project involves making phantoms of water and fat, with different concentrations of iron, obtaining images MRI and processing it using numerical methods.
2. Master Thesis – Quantification of Cholesterol
Student is sought for the development of computational tools that allow the quantification of Cholesterol using Magnetic Resonance images. This project involves making phantoms, obtaining magnetic resonance imaging and processing it is using numerical methods.
3. Master Thesis – Liver Segmentation
Master’s Thesis is sought to work on the automatic segmentation of the liver, which allows to quantify the liver fat according to the 9 anatomical segments of Couinaud using artificial intelligence algorithms (Convolutional neural networks, Deep learning). The project consists of generating an algorithm that, based on magnetic resonance images with different contrast, the liver can be segmented automatically. The algorithm must be integrated to an application that combines Java programme for the user interface, and the algorithm must be developed in python.
4. Master Thesis – Magnetic Resonance Elastography
Master student is sought to develop this research project for the estimation of elastic properties in liver tissues. The tasks to develop contemplate participating and intervening in software to model the problem, along with the processing of medical images. In this work, the student will be introduced to techniques of magnetic resonance imaging, modeling of elastic media and its application to problems of clinical relevance.