A method for quantification of noise non-uniformity in computed tomography images: A computational study

Choirul Anam; Ariij Naufal; Kosuke Matsubara; Toshioh Fujibuchi; Geoff Dougherty

doi:10.14710/jpa.v5i2.17615

DOI: https://doi.org/10.14710/jpa.v5i2.17615

A method for quantification of noise non-uniformity in computed tomography images: A computational study

*Choirul Anam

- Department of Physics, Faculty of Sciences and Mathematics, Diponegoro University, Semarang, Indonesia

Ariij Naufal

- Department of Physics, Faculty of Sciences and Mathematics, Diponegoro University, Semarang, Indonesia

Kosuke Matsubara

- Department of Quantum Medical Technology, Faculty of Health Sciences, Institute of Medical Pharmaceutical and Health Sciences, Kanazawa University, Kanazawa, Japan

Toshioh Fujibuchi

- Department of Health Sciences, Faculty of Medical Sciences, Kyushu University, Fukuoka, Japan

Geoff Dougherty

- Department of Applied Physics and Medical Imaging, California State University Channel Islands, Camarillo, CA, United States

Received: 9 Mar 2023; Revised: 21 May 2023; Accepted: 22 May 2023; Available online: 31 May 2023; Published: 1 Jun 2023.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

BibTex Citation Data :

@article{JPA17615,
    author = {Choirul Anam and Ariij Naufal and Kosuke Matsubara and Toshioh Fujibuchi and Geoff Dougherty},
    title = {A method for quantification of noise non-uniformity in computed tomography images: A computational study},
    journal = {Journal of Physics and Its Applications},
  volume = {5},
    number = {2},
    year = {2023},
    keywords = {noise non-uniformity metric; computational phantom; gradient phantom; noise-gradient spectrum},
    abstract = {In computed tomography (CT), the noise is sometimes non-uniform, i.e. the noise magnitude may vary with the gradient level within the image. The purpose of this study was to quantify the noise non-uniformity in CT images using appropriate 1D and 2D computational phantoms, and to validate the effectiveness of the proposed concept in images filtered by the bilateral filter (BF), as an example of a non-linear filter. We first developed 1D and 2D computational phantoms, and Gaussian noises with several noise levels were then added to the phantoms. In addition, to simulate the real form of noise from images obtained in a real CT scanner, a homogeneous water phantom image was used. These noise levels were referred to as ground truth noise (σ G ). The phantoms were then filtered by the bilateral filter with various pixel value spreads (σ) to produce non-uniform noise. The original gradient phantoms ( G ) were subtracted from both the noisy phantoms ( I N  ) and the filtered noisy phantoms ( I BF  ), and the magnitudes of the resulting noise for each gradient were computed. The noise-gradient dependency (NGD) curve was used to display the dependency of noise magnitude on image gradient in the non-uniform noise. It is found that for uniform noise, the magnitude of noise was constant for all gradients. However, for non-uniform noise, the measured noise was dependent on the gradient levels and on the strength of the BF for every ground truth noise (σ G ). It was found that the noise magnitude was large for the large gradients and decreased with the magnitude of the image gradient.},
   issn = {2622-5956},   pages = {48--57}  doi = {10.14710/jpa.v5i2.17615},
    url = {https://ejournal2.undip.ac.id/index.php/jpa/article/view/17615}
}

Citation Format:

Abstract

In computed tomography (CT), the noise is sometimes non-uniform, i.e. the noise magnitude may vary with the gradient level within the image. The purpose of this study was to quantify the noise non-uniformity in CT images using appropriate 1D and 2D computational phantoms, and to validate the effectiveness of the proposed concept in images filtered by the bilateral filter (BF), as an example of a non-linear filter. We first developed 1D and 2D computational phantoms, and Gaussian noises with several noise levels were then added to the phantoms. In addition, to simulate the real form of noise from images obtained in a real CT scanner, a homogeneous water phantom image was used. These noise levels were referred to as ground truth noise (σ_G). The phantoms were then filtered by the bilateral filter with various pixel value spreads (σ) to produce non-uniform noise. The original gradient phantoms (G) were subtracted from both the noisy phantoms (I_N) and the filtered noisy phantoms (I_BF), and the magnitudes of the resulting noise for each gradient were computed. The noise-gradient dependency (NGD) curve was used to display the dependency of noise magnitude on image gradient in the non-uniform noise. It is found that for uniform noise, the magnitude of noise was constant for all gradients. However, for non-uniform noise, the measured noise was dependent on the gradient levels and on the strength of the BF for every ground truth noise (σ_G). It was found that the noise magnitude was large for the large gradients and decreased with the magnitude of the image gradient.

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Keywords: noise non-uniformity metric; computational phantom; gradient phantom; noise-gradient spectrum

Funding: Diponegoro University

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Section: Articles

Language : EN

In Vol 5, No 2 (2023): May 2023

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R. Morin and M. Mahesh, “Role of noise in medical imaging,” Journal of the American College of Radiology, 15, 1309, (2018)
M. Chun, Y. H. Choi, and J. H. Kim, “Automated measurement of CT noise in patient images with a novel structure coherence feature,” Physics in Medicine and Biology, 60, 9107-9122, (2015)
C. Anam, P. Triadyaksa, A. Naufal, Z. Arifin, Z. Muhlisin, E. Setiawati, and W. S. Budi, “Impact of ROI size on the accuracy of noise measure-ment in CT on computational and ACR phantoms,” Journal of Biomedical Physics and Engineering., 12, 359-368, (2022)
J. H. Siewerdsen, I. A. Cunningham, and D. A. Jaffray, “A framework for noise-power spectrum analysis of multidimensional images,” Medical Physics, 29, 2655–2671, (2002)
S. N. Friedman, G. S. K. Fung, J. H. Siewerdsen, and B. M. Tsui, “A simple approach to measure computed tomography (CT) modulation transfer function (MTF) and noise-power spectrum (NPS) using the American College of Radiology (ACR) accreditation phantom,” Medical Physics, 40, 051907, (2013)
B. Karmazyn, Y. Liang, P. Klahr, and S. G. Jennings, “Effect of tube voltage on CT noise levels in different phantom sizes,” American Journal of Roentgenology, 200, 1001–1005, (2013)
M. F. Kijewski and P. F. Judy, “The noise power spectrum of CT images,” Physics in Medicine and Biology, 32, 565-75, (1987)
S. J. Riederer, N. J. Pelc, and D. A. Chesler, “The noise power spectrum in computed X-ray tomography,” Phys. Med. Biol., 23, 446, (1978)
C. Anam, A. Naufal, H. Sutanto, K. Adi, and G. Dougherty, “Impact of iterative bilateral filtering on the noise power spectrum of computed tomography images,” Algorithms, 15, 374, (2022)
S. Dolly, H. Chen, M. Anastasio, S. Mutic, and H. Li, “Practical considerations for noise power spectra estimation for clinical CT scanners,” Journal of Applied Clinical Medical Physics, 17, 392-407, (2016)
D. J. Tward and J. H. Siewerdsen, “Cascaded systems analysis of the 3D noise transfer characteristics of flat-panel cone-beam CT,” Medical Physics, 35, 5510-5529, (2008)
K. L. Boedeker, V. N. Cooper, and M. F. McNitt-Gray, “Application of the noise power spectrum in modern diagnostic MDCT: part I. Measurement of noise power spectra and noise equivalent quanta,” Physics in Medicine and Biology, 52, 4027, (2007)
B. Chen, O. Christianson, J. M. Wilson, and E. Samei, “Assessment of volumetric noise and resolution performance for linear and nonlinear CT reconstruction methods,” Medical Physics, 41, 071909, (2014)
S. Nakahara, M. Tachibana, and Y. Watanabe, “One-year analysis of Elekta CBCT image quality using NPS and MTF,” Journal of Applied Clinical Medical Physics, 17, 211-22, (2016)
C. Anam, F. Haryanto, R. Widita, I. Arif, and G. Dougherty, “An investigation of spatial resolution and noise in reconstructed CT images using iterative reconstruction (IR) and filtered back-projection (FBP),” Journal of Physics: Conference Series, 1127, 012016, (2019)
L. Zhu, S. Yoon, and R. Fahrig, “A short-scan reconstruction for cone-beam CT using shift-invariant FBP and equal weighting,” Medical Physics, 34, 4422-4438, (2007)
M. J. Willemink, P. A. de Jong, T. Leiner, L. M. de Heer, R. A. J. Nievelstein, R. P. J. Budde, and A. M. R. Schilham, “Iterative reconstruction techniques for computed tomography Part 1: Technical principles,” European Radiology, 23, 1623–1631, (2013)
F. A. Hussain, N. Mail, A. M. Shamy, S. Alghamdi, and A. Saoudi, “A qualitative and quantitative analysis of radiation dose and image quality of computed tomography images using adaptive statistical iterative reconstruction, Journal of Applied Clinical Medical Physics, 17, 419-432, (2016)
P. J. Pickhardt, M. G. Lubner, D. H. Kim, J. Tang, J. A. Ruma, A. M. del Rio, and G. H. Chen, “Abdominal CT with model-based iterative reconstruction (MBIR): Initial results of a prospective trial comparing ultralow-dose with standard-dose imaging,” American Journal of Roentgenology, 199, 1266–1274, (2012)
K. B. Mathieu, H. Ai, P. S. Fox, M. C. B. Godoy, R. F. Munden, P. M de Groot, and T. Pan, “Radiation dose reduction for CT lung cancer screening using ASIR and MBIR: a phantom study,” Journal of Applied Clinical Medical Physics, 15, 271-280, (2014)
C. T. Dodge, E. P. Tamm, D. D. Cody, X. Liu, C. T. Jensen, W. Wei, V. Kundra, and X. J. Rong, “Performance evaluation of iterative reconstruction algorithms for achieving CT radiation dose reduction—a phantom study,” Journal of Applied Clinical Medical Physics, 17, 511-531, (2016)
A. R. Al-Hinnawi, M. Daear, and S. Huwaijah, “Assessment of bilateral filter on 1/2-dose chest-pelvis CT views,” Radiological Physics and Technology, 6, 385–398 (2013)
J. R. Giraldo, S. Leng, L. Yu, and C. McCollough, “20-Fold dose reduction using a gradient adaptive bilateral filter: demonstration using in vivo animal perfusion CT,” Medical Physics, 37, 3372, (2010)
A. Buades, B. Coll, and J. M. Morel, “A review of image denoising algorithms, with a new one,” Multiscale Modeling and Simulation, 4, 490–530, (2005)
Li Z, L. Yu, J. D. Trzasko, D. S. Lake, D. J. Blezek, J. G. Fletcher, and C. H. McCollough, A. Manduca, “Adaptive nonlocal means filtering based on local noise level for CT denoising,” Medical Physics 41, 011908, (2014)
J. Solomon and E. Samei, “Quantum noise properties of CT images with anatomical textured backgrounds across reconstruction algorithms: FBP and SAFIRE,” Medical Physics, 41, 091908, (2014)
H. Zhang, D. Zeng, H. Zhang, J. Wang, Z. Liang, and J. Ma, “Applications of nonlocal means algorithm in low-dose X-ray CT image processing and reconstruction: A review,” Medical Physics., 44, 1168-1185, (2017)
C. Anam, T. Fujibuchi, T. Toyoda, N. Sato, F. Haryanto, R. Widita, I. Arif, and G. Dougherty, “An investigation of a CT noise reduction using a modified of wiener filtering-edge detection,” Journal of Physics: Conference Series, 1217, 012022, (2019)
E. Samei, D. Bakalyar, K. L. Boedeker, S. Brady, J. Fan, S. Leng, K. J. Myers, L. M. Popescu, J. C. R. Giraldo, F. Ranallo, J. Solomon, J. Vaishnav, and J. Wang, “Performance evaluation of computed tomography systems: Summary of AAPM Task Group 233,” Medical Physics, 46 e735-e756, (2019)
C. Anam, W. S. Budi, K. Adi, H. Sutanto, F. Haryanto, M. H. Ali, T. Fujibuchi, and G. Dougherty, “Assessment of patient dose and noise level of clinical CT images: automated measurements,” Journal of Radiological Protection, 39, 783–93, (2019)
C. Anam, A. Idam, H. Freddy, F. P. Lestari, R. Widita, W. S. Budi, H. Sutanto, K. Adi, T. Fujibuchi, and G. Dougherty, “An improved method of automated noise measurement system in CT images,” Journal of Biomedical Physics and Engineering, 11, 163-174, (2021)
K. Li, J. Garrett, Y. Ge, and G. H. Chen, “Statistical model based iterative reconstruction (MBIR) in clinical CT systems. Part II. Experimental assessment of spatial resolution performance,” Medical Physics, 41, 071911, (2014)
J. B. Solomon, J. Wilson, and E. Samei, “Characteristic image quality of a third generation dual-source MDCT scanner: noise, resolution, and detectability,” Medical Physics, 42, 4941–4953, (2015)

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