Evaluation of Various Free Software Options for Catphan 504 Phantom Analysis

Authors

DOI:

https://doi.org/10.15392/2319-0612.2024.2335

Keywords:

computed tomography, Catphan 504 phantom, Image quality, free software analysis

Abstract

In computed tomography, image quality tests are important to guarantee a correct medical diagnosis and a better cost and benefit for the patient. Purpose: the purpose of this study is to analyse the images reconstructed with different thorax and bone convolution filters using popular free-use software in the field of medical physics, for the Catphan 504 phantom. Methods: a total of 14 scans were performed using the chest protocol, with convolution filters (FC) FC30, FC35, FC50, FC51, FC52, FC53, FC55, FC56, FC80, FC81, FC83, FC84, FC85, FC86, on the 16-channel Canon Aquilion Lightning CT scanner using the Catphan 504 phantom. Image quality parameters evaluated were: noise, uniformity, linearity of CT numbers, and high spatial resolution with MTF 50% and MTF 10%. The images were evaluated using software such as ImageJ, Script Python, and free software for automatic evaluation of the Catphan 504 phantom, CTQA-cp, SPICE-CT, and Pylinac. Results: the tests carried out with the Catphan 504 phantom were analysed by the software and agreed with each other (with p>0.05), except for Pylinac. The results obtained with Pylinac had a significant difference for the uniformity, slice thickness, and MTF10% tests, this being the code that was the furthest away from the results obtained by the other codes. Conclusions: the ImageJ, Spice-CT, and CTQA-cp software showed consistent results for the tests performed, while Pylinac had limitations in calculating the standard deviation for the noise test and showed significant differences in some tests when compared to the other software.

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References

International Atomic Energy Agency, Quality Assurance Programme for Computed Tomography: Diagnostic and Therapy Applications, IAEA Human Health Series No. 19, IAEA, Vienna, 2012.

Ministério da Saúde. Agência Nacional de Vigilância Sanitária. Instrução Normativa - IN Nº 93, de 27 de maio de 2021.

Toshiba Medical Systems Corporation. Operation Manual Aquilion Lightning.

Phantom Laboratory Incorporated. Catphan ® 504 Manual. 2015. Salem, NY, USA.

Tegtmeier RC, Ferris WS, Bayouth JE, Culberson WS. Performance evaluation of image reconstruction algorithms for a megavoltage computed tomography system on a helical tomotherapy unit. Biomedical Physics & Engineering Express, v. 8, n. 4, p.047001, 2022 DOI: https://doi.org/10.1088/2057-1976/ac7584

Gawel J, and Kidoń J. Assessment of the CT image quality parameters on the edges of the field of view. Physica Medica: European Journal of Medical Physics, v.52, p.113-114, 2018. DOI: https://doi.org/10.1016/j.ejmp.2018.06.374

Bellesi L, Wyttenbach R, Gaudino D, Colleoni P, Pupillo F, Carrara M, et al. A simple method for low-contrast detectability, image quality and dose optimisation with CT iterative reconstruction algorithms and model observers. European Radiology Experimental, v.1, p.1-10, 2017 DOI: https://doi.org/10.1186/s41747-017-0023-4

Gulliksrud K, Stokke C, and Martinsen ACT. How to measure CT image quality: variations in CT-numbers, uniformity and low contrast resolution for a CT quality assurance phantom. Physica Medica, v. 30, n. 4, p.521-526, 2014 DOI: https://doi.org/10.1016/j.ejmp.2014.01.006

Loveland, J. (2011), SPICE-CT. Available at: https://imagej.nih.gov/ij/plugins/spice-ct/index.html. Accessed on: 11 Nov. 2022.

Pylinac software. Available at: https://pylinac.readthedocs.io/en/latest/cbct.html. Accessed on: 11 Nov. 2022.

CTQA-cp software. Available at: https://github.com/medicalphysics/ctqa-cp/releases. Accessed on: 11 Nov. 2022.

Rasband, W.S., ImageJ, U. S. National Institutes of Health, Bethesda, Maryland, USA. Available at: https://imagej.nih.gov/ij/, 1997-2018. Accessed on: 11 Nov. 2022.

Nowik P, Bujila R, Poludniowski G, Fransson A. Quality control of CT systems by automated monitoring of key performance indicators: a two‐year study. J Appl Clin Med Phys, v. 16, p.254–265, 2015. DOI: https://doi.org/10.1120/jacmp.v16i4.5469

Institute of Physics and Engineering in Medicine. Recommended Standards for the Routine Performance Testing of Diagnostic X‐ray Imaging Systems, IPEM Report 91. York: IPEM, p.1–112, 2010.

Gulliksrud, K., Stokke, C., & Martinsen, A. C. T. How to measure CT image quality: variations in CT-numbers, uniformity and low contrast resolution for a CT quality assurance phantom. Physica Medica, v.30, n.4, p.521-526, 2014. DOI: https://doi.org/10.1016/j.ejmp.2014.01.006

Kayugawa A, Ohkubo M, Wada S. Accurate determination of CT point-spread-function with high precision. J Appl Clin Med Phys, v.14, n. 4, p.3905, 2013. DOI: https://doi.org/10.1120/jacmp.v14i4.3905

Hak, E. Z., Anam, C., Budi, W. S., & Dougherty, G. An improvement in automatic MTF measurement in CT images using an edge of the PMMA phantom. En Journal of Physics: Conference Series. IOP Publishing, v. 1505, n. 1, p. 012039, 2020. DOI: https://doi.org/10.1088/1742-6596/1505/1/012039

Mail TB. Catphan® 700 Product Guide. Phantom Laboratory Incorporated. 2021.

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Published

2024-03-20

How to Cite

Fernandes, L. C., Santos, M. R. dos, Silva, L. P. da, Lima, T. V. M., & Simões, R. F. P. (2024). Evaluation of Various Free Software Options for Catphan 504 Phantom Analysis. Brazilian Journal of Radiation Sciences, 12(1), e2335. https://doi.org/10.15392/2319-0612.2024.2335

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