IIAE CONFERENCE SYSTEM, The 2nd International Conference on Industrial Application Engineering 2014 (ICIAE2014)

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CT Image Artifacts Removal Method Using X-ray Light Blurring Transmission
Huimin Lu, Xuelong Hu, Hsin-Chiang You, Yujie Li, Seiichi Serikawa

Last modified: 2014-03-25


The field of image processing has made significant progress in the quantitative analysis of biomedical images over the last 30 years. Scientists are collecting large amount of electron microscopy image data to gain a better understanding of neuron organization. However, many of the image data are distorted by artificial light intensity inhomogeneity, such as magnetic resonance imaging (MRI), computed tomography (CT), X-ray, transmission electron microscopy (TEM), etc. In this paper, we propose a novel automatically non-uniformity correction method for medical images, which can estimate the illumination field using image intensity gradients and spatial information. The proposed method is very fast to compute, and the result is better than the state-of-the-art methods. Based on the intensity gradients in medical images, we proposed a non-parametric approach for the artifacts correction. The experiments demonstrate that the proposed method is not only faster, but also can eliminate the non-uniformity and artifacts well.

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