Cortical Thickness Map (Segment the gray and white matter)
Budget: $30 – $250 CAD
In this challenge you will develop an algorithm to estimate cortical thickness map from a raw T1-weighted image. Cortical thickness map is the thickness of the gray matter of the brain at every point. It is defined as the distance between the white matter surface and the pial surface.
Your python script must output a 3d volume where every pixel NOT in the gray matter is assigned a value of zero, and every pixel in the gray matter is assigned the thickness value of the cortex at that point.
Your python script must output a 3d volume where every pixel NOT in the gray matter is assigned a value of zero, and every pixel in the gray matter is assigned the thickness value of the cortex at that point.