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

2306, 2012

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. 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 [...]

505, 2012

A HARDI multi-subject bundle atlas of known deep white matter and short superficial white matter tracts.

P. Guevara, D. Duclap, C. Poupon, L. Marrakchi-Kacem, P. Fillard, D. le Bihan, M. Leboyer J. Houenou and J.-F. Mangin. A HARDI multi-subject bundle atlas of known deep white matter and short superficial white matter tracts. In International Society of Magnetic Resonance in Medicine conference, ISMRM 2012, Melbourne, Australia, 2012. http://cds.ismrm.org/protected/12MProceedings/files/1933.pdf

105, 2012

Basal ganglia connectivity inferred from tractography: dealing with direct and indirect connections.

L. Marrakchi-Kacem, C. Delmaire, P. Guevara , F. Poupon, J. Yelnik, S. Lecomte, P. Roca, A. Tucholka, A. Durr, J.-F. Mangin, S. Lehéricy, M. Chupin, and C. Poupon. Basal ganglia connectivity inferred from tractography: dealing with direct and indirect connections. In International Society of Magnetic Resonance in Medicine conference, ISMRM 2012, Melbourne, Australia, 2012. http://cds.ismrm.org/protected/12MProceedings/files/1930.pdf

2303, 2012

ISS: Infant Stimulation System

Project Type: FONDEF CA12I10372 IDeA Program Principal Institution: Pontificia Universidad Católica de Chile. Associated Institution: Universidad de Concepción. Position: Associate Researcher Award Year: 2012. Ending Year: 2014.

1511, 2011

Segmentation of short association bundles in massive tractography datasets using a multi-subject bundle atlas.

P. Guevara, D. Duclap, C. Poupon, L. Marrakchi-Kacem, J. Houenou, M. Leboyer and J.-F. Mangin. Segmentation of short association bundles in massive tractography datasets using a multi-subject bundle atlas. In 16th Iberoamerican Congress on Pattern Recognition, CIARP 2011, LNCS 7042, pp. 701-708, Pucón, Chile, 2011. DOI: http://link.springer.com/chapter/10.1007/978-3-642-25085-9_83

1809, 2011

Joint T1 and Brain Fiber Diffeomorphic Registration Using the Demons.

V. Siless, P. Guevara, X. Pennec, P. Fillard. Joint T1 and Brain Fiber Diffeomorphic Registration Using the Demons. In MICCAI Multimodal Brain Image Analysis, MBIA 2011, LNCS 7012, pp. 10-18, Toronto, Canada, 2011. DOI : http://link.springer.com/chapter/10.1007/978-3-642-24446-9_2

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

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