Development of data processing software and algorithms for Multiplexed PET Imaging

AUTHORS / CAREER / CENTER David Garrido/ Biomedical Engineering / Universidad Carlos III de Madrid
SUPERVISOR Eduardo Lage, PhD, Universidad Autonoma de Madrid
TYPE Bachelor Thesis
ABSTRACT Efficient treatment of complex diseases is directly dependent on the ability of the patient to respond to a
given therapy. Multiplexed Positron Emission Tomography (mPET) is arising as a new enabling
technology to provide reliable measurements of several physiological parameters at once. The moinitoring
of these factors hold the potential to provide a more comprehensive view of disorders, simplifying in this
way a tailored therapy selection.
The present work describes the design, implementation and initial validation of a software package
designed to process data from PET clinical scanners and to extract the information required for
multiplexed PET imaging. Initial results obtained with this software show an efficient data processing and
provide validation for all the intermediate implementations presented in this work.
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