Image quality assessment of real patient thorax CT images using modulation transfer function and noise power spectrum

被引:2
|
作者
Passand, Zahra [1 ]
Hoeschen, Christoph [1 ]
机构
[1] Otto von Guericke Univ, Inst Med Engn, Fac Elect Engn & Informat Technol, Magdeburg, Germany
来源
MEDICAL IMAGING 2020: PHYSICS OF MEDICAL IMAGING | 2020年 / 11312卷
关键词
CT image quality; MTF; NPS;
D O I
10.1117/12.2550073
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Computed tomography (CT) is a medical imaging technique which is widely used in various clinical applications. Since the applied radiation is potentially harmful to humans, the applied doses are carefully monitored during CT image acquisition. On the contrary, the CT image quality is not analyzed or monitored during normal clinical operation. A wide range of parameters such as patient anatomy, implants, cardiac or respiratory motion, pathological tissue variations or an inappropriately configured CT system can affect the image quality. Hence, an automated image quality assessment would be desirable to track the CT image quality in daily clinical routine. In this work, the image noise and spatial resolution were characterized and analyzed in order to determine the image quality. While the image noise was characterized by the noise power spectrum (NPS), the spatial resolution was described by the modulation transfer function (MTF). Both methods were applied to human torso phantom images or real thorax CT images. It was shown that both parameters are useful to distinguish between different image qualities. Lower CT image quality was correlated with higher noise amplitudes (measured by the NPS) and a lower spatial resolution (measured by the MTF). Challenges for future works remain in generating appropriately annotated clinical CT image databases as well as in automatically selecting suitable regions-of-interest within the image.
引用
收藏
页数:6
相关论文
共 43 条
  • [1] Image quality assessment using the modulation transfer function
    Williams, WE
    Toner, C
    ASTRONOMICAL DATA ANALYSIS SOFTWARE AND SYSTEMS V, 1996, 101 : 219 - 222
  • [2] Comparison of noise-power spectrum and modulation-transfer function for CT images reconstructed with iterative and deep learning image reconstructions: An initial experience study
    Setiawan, Adiwasono M. B.
    Anam, Choirul
    Hidayanto, Eko
    Sutanto, Heri
    Naufal, Ariij
    Dougherty, Geoff
    POLISH JOURNAL OF MEDICAL PHYSICS AND ENGINEERING, 2023, 29 (02): : 104 - 112
  • [3] Noise power spectrum and modulation transfer function analysis of breast tomosynthesis imaging
    Zhou, Weihua
    Cong, Lin
    Qian, Xin
    Lee, Yueh Z.
    Lu, Jianping
    Zhou, Otto
    Chen, Ying
    MEDICAL IMAGING 2013: PHYSICS OF MEDICAL IMAGING, 2013, 8668
  • [4] Implementation, validation and application of a tool for the assessment of the modulation transfer function and noise power spectrum of dental CBCT scanners
    Merken, K.
    Zhang, G.
    Shaheen, E.
    Jacobs, R.
    Politis, C.
    Bosmans, H.
    MEDICAL IMAGING 2020: PHYSICS OF MEDICAL IMAGING, 2020, 11312
  • [5] Image quality assessment of color LCD monitors by polychromatic modulation transfer function
    Song, Jong Sup
    Jo, Jae Heung
    Hong, Sung Mok
    Lee, Yun Woo
    Yang, Ho Soon
    Cho, Hyun Mo
    Lee, In Won
    KOREAN JOURNAL OF OPTICS AND PHOTONICS, 2005, 16 (01) : 63 - 70
  • [6] Effect of optical blurring of X-ray source on breast tomosynthesis image quality: Modulation transfer function, anatomical noise power spectrum, and signal detectability perspectives
    Lee, Changwoo
    Baek, Jongduk
    PLOS ONE, 2022, 17 (05):
  • [7] Image quality assessment based on modulation transfer function for synthetic aperture radar systems
    Lin, Xin
    Wang, Kaizhi
    Wang, Junfeng
    Liu, Xingzhao
    JOURNAL OF APPLIED REMOTE SENSING, 2016, 10
  • [8] Image quality assessment based on modulation transfer function for synthetic aperture radar systems
    Lin, Xin
    Wang, Kaizhi
    Wang, Junfeng
    Liu, Xingzhao
    Journal of Applied Remote Sensing, 2016, 10 (02):
  • [9] The impact of using tube-current-modulation technique for attenuation correction of PET/CT images on image quality and patient dose
    Salimi, Y.
    Ghafarian, P.
    Deevband, M.
    Karam, M. Bakhshayesh
    Jamaati, H.
    Ay, M.
    EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2016, 43 : S525 - S525
  • [10] Improving Image Quality Assessment Based on the Combination of the Power Spectrum of Fingerprint Images and Prewitt Filter
    Shen, Ting-Wei
    Li, Ching-Chuan
    Lin, Wan-Fu
    Tseng, Yu-Hao
    Wu, Wen-Fang
    Wu, Sean
    Tseng, Zong-Liang
    Hsu, Mao-Hsiu
    APPLIED SCIENCES-BASEL, 2022, 12 (07):