Three final projects of the master's degree in Biomedical Engineering have been finished this September. Successful results have been achieved by the three students: Aida Ninyerola, David Soto and Antonio Buendia. The projects were focused on developing specific clinical applications based on the clinicians needs and have been developed using GIMIAS framework.
These projects have been developed in colaboration between three universities: UB, UPC and UPF and three reserach centers: IDIBAPS, GIB-UB and CISTIB.
Author: Antonio Buendía
Director: Carles Falcón (GIB-UB)
Date: 15th September of 2011
The goal of the project is the quantification of changes in healthy brain tissue and in the tumor area using MRI and perfusion in patients with Glioblastoma Multiforme (GBM). This quantification is measured for different doses of irradiation treated with radical intent. This project has been initiated at the Hospital Clinic by Dr. Izascún Valduvieco.
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Author: David Soto
Director: Raul Tudela (GIB-UB)
Date: 15th September of 2011
In this project, through the filters provided by GIMIAS, I have managed to create a tool that calculates cerebral perfusion parameters CBF, CBV, MTT, TTP and MIP. I could illustrate these using versatile color maps, enabling the user to better appreciate the anatomy of the brain and thus to differentiate the areas of ischemic stroke. The tool is presented in the GIMIAS framework as a workflow that will guide you through the processing steps in an easy and intuitive way.
The following image shows the final result of a CBF map case study.
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Author: Aida Ninyerola
Director: Domenec Ros (GIB-UB)
Date: 15th September of 2011
Presynaptic dopaminergic function is associated with the dopamine transporter (DAT), a membrane protein that has proved to be a sensitive indicator of the nigrostriatal dopaminergic function. Parkinson's disease is associated with a diosfunction of the dopaminergic system, so that the SPECT (Single Photon Emission Tomography) tracers using an affinity for the DAT, is a technique for the diagnosis of the disease. Although visual assessment of SPECT images is in general adequate for diagnosis, quantification could help tracking, staging and early diagnosis of the disease. To facilitate the quantification has been developed QuantiDOPA, a specific program that allows the evaluation of the images while minimizing operator dependency in the results. This tool uses a friendly interface for easy use in both research and clinical routine.