A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä
Methods for estimating full width at half maximum
Tekijät: Rainio, Oona; Hällilä, Johanna; Teuho, Jarmo; Klén, Riku
Kustantaja: SPRINGER LONDON LTD
Kustannuspaikka: LONDON
Julkaisuvuosi: 2025
Journal: Signal, Image and Video Processing
Tietokannassa oleva lehden nimi: SIGNAL IMAGE AND VIDEO PROCESSING
Lehden akronyymi: SIGNAL IMAGE VIDEO P
Artikkelin numero: 289
Vuosikerta: 19
Numero: 4
Sivujen määrä: 7
ISSN: 1863-1703
eISSN: 1863-1711
DOI: https://doi.org/10.1007/s11760-025-03820-6
Verkko-osoite: https://link.springer.com/article/10.1007/s11760-025-03820-6
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/485161689
Background: Measurement of full width at half maximum (FWHM) is used in multiple important applications related to the evaluation of the image resolution and the performance assessment of different scanner devices especially in positron emission tomography (PET) imaging, but little research has been performed about different methods for estimating FWHM.
Materials and methods: We study seven different methods for estimating FWHM, including measuring FWHM according to its definition, four methods based on estimation of the standard deviation, the standard method of National Electrical Manufacturers Association (NEMA), and a new method utilizing an optimization algorithm to fit a Gaussian curve to the data. We compare their performance with several simulations. We also apply these techniques on two real data sets created by PET images of an 18 F-fluorodeoxyglucose resolution phantom imaged with High Resolution Research Tomograph concept camera and Biograph Vision Quadra and a sodium-22 point source imaged with RAYCAN X5 PET/CT system.
Results and conclusion: According to our results from both simulated and real data, the most accurate methods are the first method based on the definition of FWHM and the NEMA standard method. In particular, both of these methods work in a reliable way in real data experiments, even when there is a very limited number of points available for FWHM computation.
Ladattava julkaisu This is an electronic reprint of the original article. |
Julkaisussa olevat rahoitustiedot:
Open Access funding provided by University of Turku (including Turku University Central Hospital). The first author was financially supported by the Finnish Culture Foundation. This study was supported through funding from State Research Funding (the expert responsibility area (ERVA) of Turku University Hospital), by the clinical EVO Grant admitted by Turku PET Centre (Project Number: 13720).