Purpose: A method for calculating nuclear medicine ionization chamber (NMIC) calibration settings with a Monte Carlo model is presented and validated against physical measurements. This work provides Monte Carlo-calculated calibration settings for select isotopes with no current manufacturer recommendations and a method by which NMIC manufacturers or standards laboratories can utilize highly detailed specifications to calculate comprehensive lists of calibration settings for general isotopes.
Methods: A Monte Carlo model of a Capintec PET series NMIC was developed and used to calculate the chamber response to relevant radioactive decay products over an energy range relevant to nuclear medicine. The photon detection efficiency (PDE) of a high purity germanium (HPGe) detector was modeled and physically validated to facilitate measurements of NMIC calibration settings with HPGe detector spectroscopy. Modeled NMIC response to various isotopes was compared against spectroscopic measurements and National Institute of Standards and Technology (NIST)-validated calibration settings to validate the Monte Carlo-calculated NMIC calibration settings.
Results: HPGe detector PDE was validated against the physical measurements to within at confidence and used to measure calibration settings, which produced activity readings , , , and different than those validated by NIST for C, F, Ga, and Cu respectively. The Monte Carlo model of the NMIC reproduced measured calibration settings to within at confidence for isotopes with a sufficiently small yield of low energy photons.
Conclusions: A method of calculating NMIC calibration settings with Monte Carlo modeling has been developed and validated against HPGe detector spectroscopy. NMIC manufacturers or standards laboratories can use more detailed specifications of the chamber geometries to extend the applicability of this method to a wider range of isotopes.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1002/mp.15463 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Research on Digital Terrain Construction Based on IMU and LiDAR Fusion Perception.
Sensors (Basel)
December 2024
Institute of Automotive Engineering, Jiangsu University, Zhenjiang 212013, China.
To address the shortcomings of light detection and ranging (LiDAR) sensors in extracting road surface elevation information in front of a vehicle, a scheme for digital terrain construction based on the fusion of an Inertial Measurement Unit (IMU) and LiDAR perception is proposed. First, two sets of sensor coordinate systems were configured, and the parameters of LiDAR and IMU were calibrated. Then, a terrain construction system based on the fusion perception of IMU and LiDAR was established, and improvements were made to the state estimation and mapping architecture.
View Article and Find Full Text PDFPredicting the risk of intensive care unit admission in patients with COVID-19 presenting in the emergency room: Development and evaluation of the CROSS score.
Clin Infect Dis
January 2025
Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Department of Infectious Diseases, Respiratory Medicine and Critical Care, Berlin, Germany.
Background: Existing risk evaluation tools underperform in predicting intensive care unit (ICU) admission for patients with the Coronavirus Disease 2019 (COVID-19). This study aimed to develop and evaluate an accurate and calculator-free clinical tool for predicting ICU admission at emergency room (ER) presentation.
Methods: Data from patients with COVID-19 in a nationwide German cohort (March 2020-January 2023) were analyzed.
Neural Radiance Fields (NeRF) for 3D Reconstruction of Monocular Endoscopic Video in Sinus Surgery.
Otolaryngol Head Neck Surg
January 2025
Department of Otolaryngology-Head and Neck Surgery, University of Washington, Seattle, Washington, USA.
Objective: To validate the use of neural radiance fields (NeRF), a state-of-the-art computer vision technique, for rapid, high-fidelity 3-dimensional (3D) reconstruction in endoscopic sinus surgery (ESS).
Study Design: An experimental cadaveric pilot study.
Setting: Academic medical center.
Predicting loss of independence among geriatric patients following gastrointestinal surgery.
Patient Saf Surg
January 2025
Department of Surgery, University of Virginia, Charlottesville, Virginia, USA.
Background: While existing risk calculators focus on mortality and complications, elderly patients are concerned with how operations will affect their quality of life, especially their independence. We sought to develop a novel clinically relevant and easy-to-use score to predict elderly patients' loss of independence after gastrointestinal surgery.
Methods: This retrospective cohort study included patients age ≥ 65 years enrolled in the American College of Surgeons National Surgical Quality Improvement Program database and Geriatric Pilot Project who underwent pancreatic, colorectal, or hepatic surgery (January 1, 2014- December 31, 2018).
Balancing precision and affordability in assessing infant development in large-scale mortality trials: secondary analysis of a randomised controlled trial.
Arch Dis Child Fetal Neonatal Ed
January 2025
NHMRC Clinical Trials Centre, The University of Sydney, Camperdown, New South Wales, Australia.
Objective: Large-scale mortality trials require reliable secondary assessments of impairment. We compared the Ages and Stages Questionnaire (ASQ-3), a screening tool self-administered by parents, in classifying impairment using the 'gold standard' Bayley Scales of Infant Development (Bayley-III), a diagnostic tool administered by trained assessors.
Design: Analysis of 405 children around 2 years corrected age from the Australian Placental Transfusion Study, a trial conducted over 8 years.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!