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, 2016

IEEE EMBS Conference at Orlando, FL, USA

From August 16th to the 20th, 2016, the 38th International Annual Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’16) was held at Orlando, Florida, USA. The masters student Claudio Román presented the paper "Short association bundle atlas based on inter-subject clustering from HARDI data". The masters student Miguel Guevara presented the paper "Creation of a whole brain short association bundle atlas using a hybrid approach". FONDECYT 1161427

3008, 2016

Childhood trauma and the limbic network: a multimodal MRI study in patients with bipolar disorder and controls.

J. Souza-Queiroz, J. Boisgontier, B. Etain, C. Poupon, D. Duclap, M.A. d'Albis, C. Daban, N. Hamdani, P. Le Corvoisier, M. Delavest, F. Bellivier, P. Guevara, M. Leboyer, C. Henry, J. Houenou. Childhood trauma and the limbic network: a multimodal MRI study in patients with bipolar disorder and controls. Journal of Affective Disorders, 200, p159-164, 2016. DOI: https://dx.doi.org/10.1016/j.jad.2016.04.038

1608, 2016

Short association bundle atlas based on inter-subject clustering from HARDI data

C. Román, M. Guevara, D. Duclap, A. Lebois, C. Poupon, J-F. Mangin and P. Guevara. Short association bundle atlas based on inter-subject clustering from HARDI data. Conference of the IEEE Engineering in Medicine and Biology Society, Orlando, Florida, USA, 2016, pp. 5545-5549, 7591983. DOI: https://doi.org/10.1109/embc.2016.7591983

1608, 2016

Creation of a whole brain short association bundle atlas using a hybrid approach

M. Guevara, C. Román, J. Houenou, D. Duclap, C. Poupon, J-F. Mangin and P. Guevara. Creation of a whole brain short association bundle atlas using a hybrid approach. Conference of the IEEE Engineering in Medicine and Biology Society, Orlando, Florida, USA, 2016, pp. 1115-1119, 7590899. DOI: https://doi.org/10.1109/EMBC.2016.7590899

News

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

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