Development and optimization of tools for the study of human brain anatomical connectivity using high angular resolution diffusion MRI

Project Type: FONDECYT Initiation #11121644
Position: Principal Researcher
Award Year: 2012. Ending Year: 2015.

Descripción

This project sought to develop and optimize tools for the study and analysis of brain connectivity, using Difussion Magnetic Resonance Imaging (dMRI) data.

The studies are based on High Angular Resolution Difussion Imaging (HARDI) images.

These present very high quality, due to the advancement of acquisition technologies, as well as the acquisition itself (long duration, dedicated to research) and the performed post-processing, which seek to provide a solid base for the study of the healthy adult human brain.

The main results of this project contemplate:

  • The analysis of the reproducibility of short association fascicles of the brain, using data clustering tools and cortical parcellations.

  • The optimization of an algorithm for the segmentation of brain fibers, achieving times that allow an interactive segmentation (Principal Researcher: Professor Miguel Figueroa T.).

  • The development of a tool for the optimized visualization and manipulation of brain tracts.

Other interesting results are:

  • Development of a tool for the optimized visualization of tracts for Android devices (iFiber).

  • Creation of an atlas of short brain fascicles.

  • Development of algorithms for the comparison of brain tracts, between subjects and between hemispheres.

Undergraduate Theses related to the project

Student Thesis Defense Date
Ignacio Osorio W. Electronic Civil Engineering Thesis: “Software for the Interactive Visualization and Extraction of Brain Fibers” December 31st, 2015.
Danilo Bonometti B. Electronic Civil Engineering Thesis: “Visualization of Brain Fibers” April 1st, 2015.
Daniel Seguel B. Biomedical Civil Engineering Thesis: “Automatic Algorithm for the Segmentation of Short Association Fibers of the Human Brain” March 17th, 2015.
Claudio Román G. Biomedical Civil Engineering Thesis: “Short Brain Fibers Clustering Calculated from Difussion Magnetic Resonance Imaging Images” January 16th, 2015.
Miguel Guevara O. Biomedical Civil Engineering Thesis: “Algorithm for the Automatic Segmentation of Short Brain Fibers of the Fronto-Parietal Region and the Insular Cortex” January 16th, 2015.
Pablo L. Silva P. Biomedical Civil Engineering Thesis: “Parcellation of the Brain Cortex Based on the Anatomical Connectivity” May 29th, 2014.
Eduardo Venegas A. Electronic Civil Engineering Thesis: “Development of a software for the interactive manipulation of brain fibers” July 18th, 2014.
Nicole A. Labra A. Biomedical Civil Engineering Thesis: “Optimization of Algorithm for the Classification of White Matter Fibers based on the Brain Fascicles Atlas” April 30th, 2013.
Edison Pardo R. Electronic Civil Engineering Thesis: “Study of the Variability of the Connections of Short Association of the Human Brain” April 4th, 2013.
Gabriel E. Varela M. Biomedical Civil Engineering Thesis: “Calculation of Diffusion Tensor Indices from the Westin Algorithm” April 4th, 2013.

Postgraduate Theses related to the project

Student Thesis Defense Date
Claudio Román G. Master of Engineering Sciences w/m in Electrical Engineering.
“Segmentation of brain short brain fibers based on hierarchical Clustering from HARDI database”
November 30th, 2016.
Miguel Guevara O. Master of Engineering Sciences w/m in Electrical Engineering.
“Parcellation of the brain cortex based on fiber atlas calculated from tractography”
January 30th, 2016.
Nicole Labra A. Master of Engineering Sciences w/m in Electrical Engineering, (co-director)
“Quick segmentation of white substance brain fibers”
January 28th, 2015.

Publications

1202, 2021

AC3E celebrates its researchers and students on the Day of Women and Girls in Science

On February 11, the International Day of Women and Girls in Science was celebrated, a day which seeks to promote their equitable participation in science, technology, engineering and mathematics. In this context, the Advanced Center for Electrical and Electronic Engineering (AC3E) of the Federico Santa María Technical University, in conjunction with ANID's Linkage and Extension Unit, celebrated its undergraduate and graduate students, as well as its researchers, Dr. Sandra Céspedes, Dr. Margarita Norambuena, and Dr. Pamela Guevara. In particular, Professor Guevara noted the great motivation that being a scientist implies, all the satisfactions that it brings and the importance of creativity and perseverance. “I hope that society evolves more and more, to the point where a science career for women is not questioned. We are incredibly capable, there are many examples of this. Science allows us to contribute a grain of sand to understand and improve the world around us”.

1102, 2021

ANID’s Homage in the International Day of Women and Girls in Science 2021

Within the context of the International Day of Women and Girls in Science, celebrated on February 11, Professor Pamela Guevara was honoured by ANID's Millennium Scientific Initiative. This recognition highlighted the professor's work in the use of atlases of brain fiber bundles based on magnetic resonance imaging, applied to the study of neurological disorders such as the autistic spectrum, schizophrenia, among others.

212, 2020

Brain Connectivity and Medical Imaging in IIT UdeC

On December 2nd 2020, the Institute of Technological Research of University of Concepción (ITT UdeC) published a conversation with professor Pamela Guevara, in which the academic from the Faculty of Engineering and part of the Engineering Center for Life team explains what medical imaging is, as well as its application and importance in health centers, speaking from her own experience and knowledge.Later, the article focuses in the professor's work in the field of magnetic resonance imaging, and in particular its use in the study of brain connectivity for the search of patterns and biomarkers, with the goal of achieving an early detection of neurological disorders such as autistic spectrum disorder, schizophrenia, bipolar syndrome, among others.Finally, emphasis is placed on the complexity implied in the implementation of these tools in sanitary centers, especially regarding the acquisition and handling of large volumes of data.Read the full news in the following link (in Spanish).

411, 2020

Sebastián Moyano awarded at INGELECTRA 2020 Congress

Sebastián Moyano, Biomedical Engineer and student of the Master of Science in Electrical Engineering w/m in Electrical Engineering UdeC, who obtained the Award for innovative work and First place in the Postgraduate category at the INGELECTRA 2020 conference, held virtually between October 14th to the 16th, 2020.⁣ He presented the work “Support system for upper limb rehabilitation through virtual environments”, which he began to develop during his undergraduate thesis. See the complete news in the following link (in Spanish).

News

2018-11-10T18:32:47-03:00

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