Morphological measurements of the hippocampus using artificial intelligence: a first database in Ecuador

General Objective: Create a first database of the morphological characteristics of the hippocampus in Ecuadorian patients of both sexes between the ages of 18 and 95 in order to generate robust artificial intelligence algorithms with calculation, correlation, prevention and diagnosis capabilities. neurological, psychiatric and psychological diseases related to alterations in the morphology of the hippocampus.

Specific objectives

  • Develop artificial intelligence software for the segmentation and delineation of the contours of the hippocampus in Ecuadorian patients of both sexes between the ages of 18 and 95.
  • Develop computational geometry software for the calculation of hippocampal morphological parameters, such as volume, roughness, surface area, aspect ratio and elongation.
  • Create a database of 3D simple magnetic resonance images of the brain and morphological parameters of the hippocampus to obtain statistical measures of distribution, normality, deviation and correlation of the different morphological parameters of the hippocampus.

Participating Institutions:

UIDE, UTE, UC.

Participants:

Director of the project Clayreth Eugenia Vinueza Garcia.

  • Andres Vinicio Auquilla Sangolqui
  • Carlos Fabian Avila Vega

Awarded budget: $29750,00

Project status: In progress.