A graphical user interface for calculating the arterial input function during dynamic positron emission tomography

Phys Med Biol. 2023 May 30;68(11). doi: 10.1088/1361-6560/acd430.

Abstract

Purpose.Dynamic positron emission tomography (dPET) requires the acquisition of the arterial input function (AIF), conventionally obtained via invasive arterial blood sampling. To obtain the AIF non-invasively, our group developed and combined two novel solutions consisting of (1) a detector, placed on a patient's wrist during the PET scans to measure the radiation leaving the wrist and (2) a Geant4-based Monte Carlo simulation software. The simulations require patient-specific wrist geometry. The aim of this study was to develop a graphical user interface (GUI) allowing the user to import 2D ultrasound scans of a patient's wrist, and measure the wrist features needed to calculate the AIF.Methods.The GUI elements were implemented using Qt5 and VTK-8.2.0. The user imports a patient's wrist ultrasound scans, measures the radial artery and veins' surface and depth to model a wrist phantom, then specifies the radioactive source used during the dPET scan. The phantom, the source, and the number of decay events are imported into the Geant4-based Monte Carlo software to run a simulation. In this study, 100 million decays of18F and68Ga were simulated in a wrist phantom designed based on an ultrasound scan. The detector's efficiency was calculated and the results were analyzed using a clinical data processing algorithm developed in a previous study.Results.The detector's total efficiency decreased by 3.5% for18F and by 51.7% for68Ga when using a phantom based on ultrasound scans compared to a generic wrist phantom. Similarly, the data processing algorithm's accuracy decreased when using the patient-specific phantom, giving errors greater than 1.0% for both radioisotopes.Conclusions.This toolkit enables the user to run Geant4-based Monte Carlo simulations for dPET detector development applications using a patient-specific wrist phantom. Leading to a more precise simulation of the developed detector during dPET and the calculation of a personalized AIF.

Keywords: Monte Carlo simulation toolkit; arterial input function; dynamic positron emission tomography; graphical user interface.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Computer Simulation
  • Humans
  • Monte Carlo Method
  • Phantoms, Imaging
  • Positron-Emission Tomography* / methods
  • Software*
  • Wrist

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