Reducing X-Ray Exposure of 3D Hepatic MDCT Images by Applying an Optimized Feature Preserving Strategy

  • Jiehang Deng
  • Min Qian
  • Guoqing Qiao
  • Yuanlie He
  • Zheng Li
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 145)


The X-ray exposure of hepatic MDCT (Multidetector-Row Computed Tomography) images threatens human health. In this paper, the 3D adaptive median filter with local averaging is optimized to improve the image quality of low dose hepatic MDCT images. The modified strategy is designed according to the subtle texture of a hepatic tumor. Filtering experiments are based on phantom images with different dose levels and clinical hepatic ones with a certain dose level. Radiologists’ visual evaluation and voxel value profiles show that the x-ray exposure can be reduced to 60% at least without compromising the quality of diagnostic images.


Hepatic Tumor Local Average Quantum Noise Phantom Image Feature Preservation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  • Jiehang Deng
    • 1
  • Min Qian
    • 2
  • Guoqing Qiao
    • 2
  • Yuanlie He
    • 2
  • Zheng Li
    • 2
  1. 1.Computer FacultyGuangdong University of TechnologyGuangzhouChina
  2. 2.X-ray Department General Hospital of Guangzhou Military CommandGuangzhouChina

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