Positron Emission Tomography (PET) is an exciting modality, still in the early stages of general clinical acceptance [1]. The procedure has the potential to reduce healthcare expenditures for patients who have been diagnosed as having cancer. This is because PET imaging can provide comprehensive

To the Graduate Council: I am submitting herewith a thesis written by Rakesh Mallem entitled “Design and Development of an APD algorithm development board for Positron Emission Tomography”. I have examined the final electronic copy of this thesis for form and

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Abstract In initial staging of head and neck cancers, the addition of FDG PET to conventional imaging improves the accuracy for cervical nodal metastases. The sensitivity of FDG PET is, however, limited in nodes <1 cm and in completely necrotic nodes. In the posttherapy setting, PET scans obtained at least 10 weeks after radiotherapy have an excellent predictive value to rule out residual disease. Due to the limited positive predictive value of FDG PET after radiation therapy, a positive PET scan needs to be confirmed before management decisions are made.

Abstract — GePEToS is a simulation framework developed over the last few years for assessing the instrumental performance of future PET scanners. It is based on Geant4, written in Object-Oriented C++ and runs on Linux platforms. The validity of GePEToS has been tested on the well-known Siemens ECAT EXACT HR+ camera. The results of two application examples are presented: the design optimization of a liquid Xe µPET camera dedicated to small animal imaging as well as the evaluation of the effect of a strong axial magnetic field on the image resolution of a Concorde P4 µPET camera.

des médicaments et des technologies de la santé

An intense 18 F-FDG pulmonary microfocus on PET without detectable abnormality on CT: A manifestation of an iatrogenic FDG pulmonary embolus

scintillators and its application

I am submitting here with a dissertation written by Mateja de Leonni Stanonik

Voxel-wise quantification of myocardial blood flow with cardiovascular m small difference between TSVD and Tikhonov (0.06 mL/min/g). Agreement between all deconvolution methods was high. MBF derived using each CMR deconvolution method showed a significant linear relationship (p < 0.001) with Miller et al. Journal of Cardiovascular Magnetic Resonance 2014, 16:11