The Probability Increasing of the Low-Contrast Structures Detection in X-Ray Images by Using the Software that Enhances the Contrast and Signal/Noise Ratio

被引:0
|
作者
Miroshnichenko, N. [1 ]
机构
[1] Prod Res Assoc Teleopt, Kiev, Ukraine
关键词
software image processing; absorbed dose; chest examination; digital image processing; X-ray image; image contract; patient dose; chest screening; signal/noise ratio; water phantom; low-contrast object;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
It was discussed the necessity to use processing software for X-ray images. It was discussed the relevance of such work for children studies. Experiments were carried out on a water phantom, simulating of the child chest, at voltage range 40 ... 100 kV and exposure 1 ... 3 mAs. The resulting image were processed by software with blocks increasing the contrast and noise reduction. Obtained results suggest the possibility of reducing the voltages and doses for children examination without compromising the quality image.
引用
收藏
页码:389 / 392
页数:4
相关论文
共 50 条
  • [41] Noise-Driven Anisotropic Diffusion Filtering for X-Ray Low Contrast Imaging
    I. A. Artyukov
    N. N. Irtuganov
    Journal of Russian Laser Research, 2019, 40 : 150 - 154
  • [42] Noise Reduction and Contrast Enhancement for Small-Dose X-ray Images in Wavelet Domain
    Sakata, Masahiko
    Ogawa, Koichi
    2009 IEEE NUCLEAR SCIENCE SYMPOSIUM CONFERENCE RECORD, VOLS 1-5, 2009, : 2924 - 2929
  • [43] DeepPhase: Learning phase contrast signal from dual energy X-ray absorption images
    Luo, Ronghui
    Ge, Yongshuai
    Hu, Zhanli
    Liang, Dong
    Li, Zhi-Cheng
    DISPLAYS, 2021, 69
  • [44] Increasing the field of view of x-ray phase contrast imaging using stitched gratings on low absorbent carriers
    Meiser, J.
    Amberger, M.
    Willner, M.
    Kunka, D.
    Meyer, P.
    Koch, F.
    Hipp, A.
    Walter, M.
    Pfeiffer, F.
    Mohr, J.
    MEDICAL IMAGING 2014: PHYSICS OF MEDICAL IMAGING, 2014, 9033
  • [45] Decorrelated compounding improves lesion signal-to-noise ratio of low-contrast lesions in synthetic transmit aperture ultrasound imaging
    Zhao, Na
    Xu, Yuan
    JASA EXPRESS LETTERS, 2022, 2 (02):
  • [46] BEST IN PHYSICS (IMAGING): A Deep Learning Based Model Observer for Low-Contrast Object Detection Task in X-Ray Computed Tomography
    Gong, H.
    Yu, L.
    Leng, S.
    McCullough, C.
    MEDICAL PHYSICS, 2018, 45 (06) : E565 - E565
  • [47] EVALUATION OF X-RAY-BEAM QUALITY AND FILM SCREEN COMBINATIONS FOR DETECTION OF SMALL LOW-CONTRAST OBJECTS
    HUNGER, J
    WUST, P
    CLAUSSEN, C
    FELIX, R
    PHYSICS IN MEDICINE AND BIOLOGY, 1992, 37 (02): : 343 - 355
  • [48] Low-contrast X-ray image defect segmentation via a novel core-profile decomposition network
    Liu, Xiaoyuan
    Liu, Jinhai
    Zhang, Huanqun
    Zhang, Huaguang
    COMPUTERS IN INDUSTRY, 2024, 161
  • [49] Enhanced contrast in X-ray microtomographic images of the membranous labyrinth using different X-ray sources and scanning modes
    Goyens, Jana
    Vasilopoulou-Kampitsi, Menelia
    Claes, Raf
    Sijbers, Jan
    Mancini, Lucia
    JOURNAL OF ANATOMY, 2018, 233 (06) : 770 - 782
  • [50] Image fusion in dual energy computed tomography for detection of various anatomic structures - Effect on contrast enhancement, contrast-to-noise ratio, signal-to-noise ratio and image quality
    Paul, Jijo
    Bauer, Ralf W.
    Maentele, Werner
    Vogl, Thomas J.
    EUROPEAN JOURNAL OF RADIOLOGY, 2011, 80 (02) : 612 - 619