19 March 2014 A study of the x-ray image quality improvement in the examination of the respiratory system based on the new image processing technique
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Abstract
Recently, the double contrast technique in a gastrointestinal examination and the transbronchial lung biopsy in an examination for the respiratory system [1-3] have made a remarkable progress. Especially in the transbronchial lung biopsy, better quality of x-ray fluoroscopic images is requested because this examination is performed under a guidance of x-ray fluoroscopic images. On the other hand, various image processing methods [4] for x-ray fluoroscopic images have been developed as an x-ray system with a flat panel detector [5-7] is widely used. A recursive filtering is an effective method to reduce a random noise in x-ray fluoroscopic images. However it has a limitation for its effectiveness of a noise reduction in case of a moving object exists in x-ray fluoroscopic images because the recursive filtering is a noise reduction method by adding last few images. After recursive filtering a residual signal was produced if a moving object existed in x-ray images, and this residual signal disturbed a smooth procedure of the examinations. To improve this situation, new noise reduction method has been developed. The Adaptive Noise Reduction [ANR] is the brand-new noise reduction technique which can be reduced only a noise regardless of the moving object in x-ray fluoroscopic images. Therefore the ANR is a very suitable noise reduction method for the transbronchial lung biopsy under a guidance of x-ray fluoroscopic images because the residual signal caused of the moving object in x-ray fluoroscopic images is never produced after the ANR. In this paper, we will explain an advantage of the ANR by comparing of a performance between the ANR images and the conventional recursive filtering images.
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Yuichi Nagai, Yuichi Nagai, Mayumi Kitagawa, Mayumi Kitagawa, Jun Torii, Jun Torii, Takumi Iwase, Takumi Iwase, Tomohiko Aso, Tomohiko Aso, Kanyu Ihara, Kanyu Ihara, Mari Fujikawa, Mari Fujikawa, Yumiko Takeuchi, Yumiko Takeuchi, Katsumi Suzuki, Katsumi Suzuki, Takashi Ishiguro, Takashi Ishiguro, Akio Hara, Akio Hara, } "A study of the x-ray image quality improvement in the examination of the respiratory system based on the new image processing technique", Proc. SPIE 9033, Medical Imaging 2014: Physics of Medical Imaging, 90332J (19 March 2014); doi: 10.1117/12.2042445; https://doi.org/10.1117/12.2042445
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