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Impact of brain pet image quality on the performance of the GLIMPSE diagnostic tool

Jong, B.A. de (2017) Impact of brain pet image quality on the performance of the GLIMPSE diagnostic tool. Master's Thesis / Essay, Biomedical Engineering.

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Abstract

The aim of this study was to analyze the impact of brain PET image quality on the performance of the GLIMPS diagnostic tool for Parkinson's disease (PD). GLIMPS provides a score telling how much the metabolic rate of glucose distribution in a subjects brain resembles the distribution in an average patient with PD and thereby how likely the subject has PD. To study the impact of brain PET image quality on the performance of the GLIMPS diagnostic tool image data was acquired using a Hoffmann brain phantom, multiple different PET scanners, reconstruction settings and acquisition durations. Average grey and white matter activities (representing the contrast in the image) were calculated to check if they are correlated with the score. Image noise was found to have a small effect on the score after 120 seconds acquisition time. Image resolution was found to have large effect on the scores, with an offset of the scores of 1000 points upon using 10mm XYZ Gaussian smoothing. The use of different scanners also has a large effect on the scores, introducing differences in scores of upto 1000 points. The use of different reconstruction settings has a moderate effect on the scores. Furthermore, the scores were found to correlate strongly with image contrast. The results of this study showed that the performance of the GLIMPS diagnostic tool depend heavily on PET image quality and harmonization or calibration to account for differences caused by systems or reconstruction settings is warranted.

Item Type: Thesis (Master's Thesis / Essay)
Degree programme: Biomedical Engineering
Thesis type: Master's Thesis / Essay
Language: English
Date Deposited: 15 Feb 2018 08:32
Last Modified: 15 Feb 2018 08:32
URI: http://fse.studenttheses.ub.rug.nl/id/eprint/15963

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