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

3008, 2014

IEEE EMBS Conference at Chicago, USA

  From August 26th to the 30th, 2014, the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’14) was held at Chicago, Illinois, USA.   The masters student Nicole Labra presented the paper “Interactive segmentation of white-matter fibers using a multi-subject atlas”.     FONDECYT 11121644

2608, 2014

Interactive segmentation of white-matter fibers using a multi-subject atlas.

N. Labra, M. Figueroa, P. Guevara, D. Duclap, J. Houenou, C. Poupon and J.-F. Mangin. Interactive segmentation of white-matter fibers using a multi-subject atlas. In 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014, pp2376-2379, Chicago, EEUU, 2014. DOI : http://dx.doi.org/10.1109/EMBC.2014.6944099

1007, 2014

Neuroscience Workshop at Faculty of Engineering, UdeC

November 23rd, 2014, the "Workshop on Brain Dynamics: from the neuron to the skill" was held at the Faculty of Engineering of our University, organized in conjunction with Universidad de Valparaíso.   Guest lecturers: “Prof. Wael El-Deredy” (Engineer, PhD), “Prof. Rodrigo Salas” (Engineer, PhD), “Dra. Marcela Peña” (Pediatrician, PhD), “Prof. Edgardo Vega” (Biochemist, PhD), and “Prof. Pamela Guevara” (Engineer, PhD).     FONDECYT 11121644  

3004, 2014

A multicenter tractography study of deep white matter tracts in bipolar I disorder: Psychotic features and interhemispheric disconnectivity.

S. Sarrazin, C.Poupon, J. Linke, M. Wessa, M. Phillips, M. Delavest, A. Versace, J. Almeida, P. Guevara, D. Duclap, E. Duchesnay, J.-F. Mangin, K. Le Dudal, C. Daban, N. Hamdani, M.-A. d'Albis, M. Leboyer, J. Houenou. A multicenter tractography study of deep white matter tracts in bipolar I disorder: Psychotic features and interhemispheric disconnectivity. JAMA Psychiatry, vol. 71, num 4, p388-396, 2014. DOI: https://dx.doi.org/10.1001/jamapsychiatry.2013.4513

1703, 2014

Using tractography to infer Basal ganglia’s functional subterritories distribution change in Huntington disease.

L. Marrakchi-Kacem, C. Delmaire, F. Poupon, P. Guevara, S. Lecomte, J. Yelnik, J.-F. Mangin, A. Durr, S. Lehéricy, and C. Poupon. Using tractography to infer Basal ganglia's functional subterritories distribution change in Huntington disease. 1st International Conference of the IEEE on Advanced Technologies for Signal and Image Processing, ATSIP 2014, pp167-171, Sousse, Túnez, 2014. DOI : http://dx.doi.org/10.1109/ATSIP.2014.6834599

News

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

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