2023 BFY4 Abstract Detail Page
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| Abstract Title: |
W12: FPGA-Based Positron Emission Tomography |
| Abstract: |
Positron Emission Tomography is an imaging method allowing for great precision by making correlation measurements to localize a positron source within a sample. It involves recording coincidences of 511 keV gamma rays as a function of a sample's lateral and rotational coordinates within a pair of scintillation detectors. With this data, numerical reconstruction algorithms are utilized to re-create a two-dimensional map of the distribution of positron emitting sources within the sample. Our setup allows for students to engage with the experiment on many different levels, from using a GUI to automate data collection remotely, to editing Verilog code, to building the apparatus as senior thesis project.
The apparatus is relatively straightforward, requiring a linear stage for translation and a stepper motion to rotate samples. A pair of standard NaI scintillation detectors are used for gamma detection. Lastly, a Red Pitaya FPGA/Linux device is used for the user interface, for signal processing, and for automation.
Participants will be introduced to how to choose setup parameters, gather data, and reconstruct position information using Jupyter Notebook based interfaces. A full BoM and all related code and software will be available. |
| Abstract Type: |
Workshop
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Author/Organizer Information |
| Primary Contact: |
Kevin Van De Bogart
University of Chicago
Chicago, IL 60637
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Workshop Documents |
| Workshop Doc 1: |
Download the Workshop Doc 1
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