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NIfTI Shades of Grey: Visualizing Differences in Medical Images

Gunnink, M and Offereins, A (2015) NIfTI Shades of Grey: Visualizing Differences in Medical Images. Bachelor's Thesis, Computing Science.

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Abstract

We propose an application to aid neurologists and clinicians in diagnosing PD, PSP and MSA, by visualizing the differences between a patients PET scan image and the typical brain pattern of each of these diseases, and together in a combined difference image. For calculation of the differences, we use and discuss different algoritms such as (M)SE (P)SNR and SSIM.

Item Type: Thesis (Bachelor's Thesis)
Degree programme: Computing Science
Thesis type: Bachelor's Thesis
Language: English
Date Deposited: 15 Feb 2018 08:06
Last Modified: 15 Feb 2018 08:06
URI: https://fse.studenttheses.ub.rug.nl/id/eprint/13105

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