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Cortical Thickness Map (Segment the gray and white matter)

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.

Evner: Python, Image Processing, NumPy, Datavidenskab, Statistikker

Om klienten:
( 0 bedømmelser ) Ahmedabad, India

Projekt ID: #34044224

8 freelancere byder i gennemsnit $198 timen for dette job

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7.1
gogora

Hi Something like that I have developed for DICOM pictures. Please send me a format of output as not much is said in the document about 3d Thickness map (Should it be NII or other format or perhaps just coordinates?) Flere

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