%0 Conference Paper %1 Bolke2020 %A Bolke, A. %A Zvolsky, M. %A Kohlhase, N. %A Seeger, S. %A Schaar, M. %A Rafecas, M. %B 2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) %D 2020 %K BolkeAndreas CC Compton IMT KohlhaseNadja Mermaid NucI PET RafecasMagdalena SchaarMoritz SeegerSteven Simulation ZvolskyMilan %P 1-3 %R 10.1109/NSS/MIC42677.2020.9507915 %T Modelling of a Bi-Modal PET / Compton-Camera System for Non-Pure Positron Emitters %U https://ieeexplore.ieee.org/document/9507915/ %X In this work, we investigate the combination of two imaging modalities, positron emission tomography (PET) and Compton-camera (CC) imaging. A prototype for simultaneous PET/CC acquisition was simulated. The design is based on the combination of two existing prototypes and allows for a first investigation of the bi-modal acquisition of the radionuclides ⁸⁹Z<inf>r</inf> and ¹²⁴I. Since the simulation framework GATE is not able to properly output coincidences of such a bi-modal system, a post-processing tool was developed. This includes custom coincidence sorting and classification of PET and CC data. Here we present our postprocessing pipeline as well as our first results, and discuss the implications of the coincidence logic and the fraction of randoms on the data. The availability of such data is the prerequisite for developing novel image reconstruction approaches.

@inproceedings{Bolke2020, abstract = {In this work, we investigate the combination of two imaging modalities, positron emission tomography (PET) and Compton-camera (CC) imaging. A prototype for simultaneous PET/CC acquisition was simulated. The design is based on the combination of two existing prototypes and allows for a first investigation of the bi-modal acquisition of the radionuclides ⁸⁹Z<inf>r</inf> and ¹²⁴I. Since the simulation framework GATE is not able to properly output coincidences of such a bi-modal system, a post-processing tool was developed. This includes custom coincidence sorting and classification of PET and CC data. Here we present our postprocessing pipeline as well as our first results, and discuss the implications of the coincidence logic and the fraction of randoms on the data. The availability of such data is the prerequisite for developing novel image reconstruction approaches.}, added-at = {2021-08-16T09:10:07.000+0200}, author = {Bolke, A. and Zvolsky, M. and Kohlhase, N. and Seeger, S. and Schaar, M. and Rafecas, M.}, biburl = {https://www.bibsonomy.org/bibtex/22615efbde7486501dc2ce1d050a9fdb7/imt_bibsonomy}, booktitle = {2020 {IEEE} Nuclear Science Symposium and Medical Imaging Conference ({NSS}/{MIC})}, doi = {10.1109/NSS/MIC42677.2020.9507915}, interhash = {e242f7590f3177fca8eb5fc152a57b5c}, intrahash = {2615efbde7486501dc2ce1d050a9fdb7}, issn = {2577-0829}, keywords = {BolkeAndreas CC Compton IMT KohlhaseNadja Mermaid NucI PET RafecasMagdalena SchaarMoritz SeegerSteven Simulation ZvolskyMilan}, month = oct, pages = {1-3}, timestamp = {2022-01-04T12:46:35.000+0100}, title = {Modelling of a Bi-Modal PET / Compton-Camera System for Non-Pure Positron Emitters}, url = {https://ieeexplore.ieee.org/document/9507915/}, year = 2020 }