Gabriel Varela, whose thesis “Q-space undersampled reconstruction methods for diffusion spectrum imaging”, analyzes the feasibility and applicability of reconstituting the total information from incomplete images of diffusion magnetic resonance using the theory of compressed sensing. With the work “Q-space undersampled reconstruction methods for diffusion spectrum imaging”, the researcher of the Millennium Nucleus Cardio MR, Gabriel Varela, obtained his degree of Doctor of Engineering Sciences from the Catholic University. The thesis guided by the professor and researcher Cardio MR, Pablo Irarrázbal, and evaluated by a commission chaired by Jorge Vásquez (UC Engineering) and integrated by researchers and academics of the Milenio Cardio MR Nucleus, Cristián Tejos, Marcelo Andía and Stéren Chabert, seeks to deliver, through magnetic resonance imaging, tissue microstructure information for the study of neurodegenerative diseases. “The diffusion magnetic resonance technique is a valuable tool for the study of neurodegenerative diseases. However, the acquisition time of these images is not feasible for clinical routines. So one of the objectives of this thesis is to generate strategies that allow obtaining all of this information with the minimum acquisition time, which would facilitate the transfer of this technique to the clinical setting, “says Varela. It should be noted that the general results of the research indicate improvements to the state of the art and provide recommendations on what reconstruction methods to use and under what conditions. “Finally, there are quantitative improvements in the quality of reconstituted information and reduction of variance for certain indices that are obtained from the diffusion magnetic resonance images”, concludes Varela.
Cardio MR Communications