Project Type: Regular FONDECYT #1161427
Position: Head Researcher
Award Year: 2016. Ending Year: 2019.
Description
This project aims to continue with the development and optimization of tools for the study and analysis of the brain connectomics, using data mainly from Diffusion Magnetic Resonance Imaging (dMRI), focused on the study of the Human Connectome.
The study of the Human Connectome has awakened a great interested in the scientific community for some years, and has promoted large initiatives like the Human Connectome Project (http://www.humanconnectomeproject.org/) or the Human Brain Project (https://www.humanbrainproject.eu/).
Its main objective is to know in more detail the structure and operation of the brain and be able to construct a diagram of the brain regions and their connections. In this analysis a large quantity of modalities, and they involve the study of anatomical, functional, and clinical data, among others.
In the case of this project, the studies are based in the study of the connectivity, based mainly on High Angular Resolution Diffusion Imaging (HARDI) images.
The main objective is to provide the community with new tools that allow the construction of connectomes, more representative of the underlying anatomical connectivity.
The developments aim to:
Undergraduate Theses related to the project
| Student | Thesis | Defense Date |
|---|---|---|
| Felipe Silva V. | Biomedical Engineering Thesis: “Cortical parcellation method based on a graph representation of brain connections” | April 1st, 2019. |
| Daniela Pinto D. | Biomedical Engineering Thesis: “Segmentation of short brain fibers based on their form starting from difussion magnetic resonance imaging.” | August 30th, 2018. |
| Ignacio Espinoza C. | Biomedical Engineering Thesis: “Virtual reality software for the exploration of the brain in 3D.” | August 29th, 2018. |
| Claudio Huaiqueo T. | Biomedical Engineering Thesis: “Parcellation of the brain cortex starting from fiber fascicles.” | April 5th, 2018. |
| Diego Carrasco V. | Electronic Engineering Thesis: “Brain fibers visualization and manipulation software” | December 30th, 2016. |
| Edgardo Cabrera F. | Electronic Engineering Thesis: “Brain fibers clustering using distance measure based on the form” | August 22nd, 2016. |
Postgraduate Theses related to the project
| Student | Thesis | Defense Date |
|---|---|---|
| Claudio Román G. | Master in Engineering Sciences w/m in Electrical Engineering. “Segmentation of short brain fibers based on hierarchical Clustering based on HARDI database” | January 26th, 2017. |
| Miguel Guevara O. | Master in Engineering Sciences w/m in Electrical Engineering. “Parcellation of the brain cortex based on fiber atlas calculated from tractography” |
January 30th, 2016. |
Publications
News
Award-Winning Thesis at EVIC 2018
Felipe Silva, Biomedical Engineering student, member of the Medical Images Analysis Group, and currently working on his thesis, had an outstanding [...]
Outstanding participation of UdeC Biomedical Engineering at INGELECTRA 2018
Biomedical Engineering of University of Concepción had an outstanding pariticipation at the XXVII Congress of Electronics-Electricity (INGELECTRA 2018), which took place [...]
Outstanding participation of UdeC Biomedical Engineering in CONACINEL 2018
Biomedical Engineering from University of Concepción had an outsdanding participation at the 2nd National Congress of Electronics Engineering (CONACINEL 2018), [...]