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A Simple PET Imaging Educational Demonstrator
KTH, School of Technology and Health (STH).
2012 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Recent interests in computer based tools and simulations for PET imaging studies have been a leading source for many new developments. A strong emphasis in these studies has been to improve and optimize the PET scanners for better image quality and quantification of related system parameters. In this project, an attempt has been made to develop a Matlab tool intended to be of educational nature for new students where one can perform demonstration of PET-like imaging in a simple and quick way. This demonstration tool utilizes a high resolution, voxel based digital brain (Zubal) phantom as a primary study object. A tumor of specific size is defined by the user on a chosen slice of the phantom. The output images from this tool show the exact location of the predefined tumor. The algorithm attempts to estimate the positron emission direction, positron range distribution and photon detection in a circular geometry. Additional attempt has been made to estimate certain statistical parameters against a specific amount of radiotracer uptake. These include spatial resolution, photons count, signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) of the ultimate PET image. Dependence of these estimated results by the tool on different system input parameters has been studied.

Place, publisher, year, edition, pages
2012. , 58 p.
Trita-STH, 2012:97
Keyword [en]
Emission Tomography, PET, Monte Carlo Method, Digital (Zubal) Phantom, Tumor, Sinogram, Contrast-to-Noise Ratio (CNR), Spatial Resolution
National Category
Medical Engineering
URN: urn:nbn:se:kth:diva-107198OAI: diva2:575241
Subject / course
Medical Engineering
Educational program
Master of Science -Medical Imaging
2012-06-20, Alfred Nobels Allé 10, Huddinge, Stockholm, 11:00 (English)
Available from: 2013-02-15 Created: 2012-12-07 Last updated: 2013-02-15Bibliographically approved

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