Through edge detection, software-developed algorithms can define the boundary of an object and separate regions based on threshold values, creating a pixel-wise mask for each object in the image. The goal of segmentation is to create these pixel-wise masks, which can then be manipulated and adjusted to generate 3D anatomical volumes and meshes for further analysis and implementation.
My portion of the ECGi project is in generating the geometry to be used in both the forward and inverse solution of electrocardiology. Generating these geometries involves segmentation of medical images, in which a digital image is partitioned into multiple segments.
Scholarship: Programa Bolsas Brasil PAEC OEA-GCUB 2018
Grupo de Cooperação Internacional de Universidades Brasileiras (GCUB) e a Organização dos Estados Americanos (OEA)
Hobbies: arts (theatre, dance, music, fashion, photography), exploring the city and checking out new/trendy restaurants, bazaars and cultural events, food, nature hikes, beaches