Keywords
Positron Emission Tomography; Geant Analysis; Monte Carlo Modeling
Abstract
Monte Carlo simulation modeling is one of the newest approaches to helping biomedical imaging professionals measure, model, and analyze how noise and instrument dead-time works and negatively affects the great capability of Positron Emission Tomography with a Discovery Simulation Tomography camera. Dr. Bastein Guerin and Dr. Georges El Fakhri used and modified Simulation System for Emission Tomography (SimSET) software and Geant Analysis for Tomography Emission (GATE) simulation software to create a NEMA image quality phantom The NEMA image quality phantom helped replicate how noise and instrument dead time is created and functions during Positron Emission Tomography scans in the 2D and 3D operation modes. Using the SimSET and Geant Analysis for Tomography Emission software, Dr. Guerin and Dr. Fakhri were able to generate and validate data results that illustrated how modeling dead-time can help account for other non-uniform dead-time behaviour in multiple structures of blocks that are not geometrically cylindrical or symmetrical.By applying statistical weights using a variance reduction technique in the SimSET and Geant Analysis for Tomography Emission simulation software, single coincidence circuitry can also process all detected coincidences with the object and scanner. Their approach using Monte Carlo simulation modeling can help create more capable PET scanners can better reduce noise and instrument dead time in the future.
Citation
Robinson D (2019) Monte Carlo Simulation Modeling Techniques to Measure & Understand Instrument Dead Time in PET Images. SM J Clin Med Imaging 5: 4.