Literature DB >> 28186647

Technical Note: Fully-automated analysis of Jaszczak phantom measurements as part of routine SPECT quality control.

Albert Hirtl1, Helmar Bergmann2, Barbara Knäusl3, Thomas Beyer2, Michael Figl2, Johann Hummel2.   

Abstract

PURPOSE: Inspection and quantitative validation of tomographic imaging properties of SPECT systems, i.e., spatial resolution, contrast, and inhomogeneity must be performed in regular intervals. Typically, the modular Jaszczak phantom is used for that purpose, as it offers the possibility to investigate all three system properties with a single measurement. The interpretation of the measurement is performed visually, thus, being insensitive to subtle changes in system performance. To overcome this limitation, a fully-automated software for the objective analysis of Jaszczak phantom measurements is proposed here.
METHODS: The software was developed as an ImageJ plugin and offers a number of sequential evaluation steps: automatic determination of the type of Jaszczak phantom, calculation of sector and sphere contrast, detection of ring artifacts using either the Hough transform, followed by a threshold-based decision criterion, or Student's t-test. Monte Carlo simulations were used to estimate the detectability limits for ring artifacts.
RESULTS: The software successfully calculated sector and sphere contrasts and reliably determined ring artifacts present in the homogeneity part of the Jaszczak phantom, based on automatic identification of the phantom type.
CONCLUSION: Given the quantitative nature of the produced output, results from one imaging system can easily be compared to another in an objective way. The advantage of the software is clearly that the information provided is objective and does not rely on the experience level of the user.
© 2017 American Association of Physicists in Medicine.

Keywords:  Jaszczak phantom; SPECT; quality assurance

Mesh:

Year:  2017        PMID: 28186647     DOI: 10.1002/mp.12150

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  2 in total

1.  Advanced quantitative evaluation of PET systems using the ACR phantom and NiftyPET software.

Authors:  Pawel J Markiewicz; Casper da Costa-Luis; J Dickson; A Barnes; G Krokos; J MacKewn; T Clark; C Wimberley; G MacNaught; M M Yaqub; J D Gispert; B F Hutton; P Marsden; A Hammers; A J Reader; S Ourselin; K Herholz; J C Matthews; F Barkhof
Journal:  Med Phys       Date:  2022-03-31       Impact factor: 4.506

2.  Automated phantom analysis for gamma cameras and SPECT: A methodology for use in a clinical setting.

Authors:  Tutku E Tazegul; Andrew M Polemi; Angela Snyder; Carl Snyder; Patricia G Collins
Journal:  J Appl Clin Med Phys       Date:  2020-11-03       Impact factor: 2.243

  2 in total

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