Project Type: Regular FONDECYT #1161427
Position: Head Researcher
Award Year: 2016. Ending Year: 2019.
The developments aim to:
Improve the analysis of the reproducibility of short association fascicles of the brain.
Continue the development of the optimized brain tracts visualization and manipulation tool.
Develop a new fiber clustering algorithm based on the form.
Evaluate the feasibility of creating a cortical parcellation starting from brain fibers fascicles.
Undergraduate Theses related to the project
|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
|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.|