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Proceedings Paper

Radiation dose reduction in computed tomography (CT) using a new implementation of wavelet denoising in low tube current acquisitions
Author(s): Yinghua Tao; Stephen Brunner; Jie Tang; Michael Speidel; Howard Rowley; Michael VanLysel; Guang-Hong Chen
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Paper Abstract

Radiation dose reduction remains at the forefront of research in computed tomography. X-ray tube parameters such as tube current can be lowered to reduce dose; however, images become prohibitively noisy when the tube current is too low. Wavelet denoising is one of many noise reduction techniques. However, traditional wavelet techniques have the tendency to create an artificial noise texture, due to the nonuniform denoising across the image, which is undesirable from a diagnostic perspective. This work presents a new implementation of wavelet denoising that is able to achieve noise reduction, while still preserving spatial resolution. Further, the proposed method has the potential to improve those unnatural noise textures. The technique was tested on both phantom and animal datasets (Catphan phantom and timeresolved swine heart scan) acquired on a GE Discovery VCT scanner. A number of tube currents were used to investigate the potential for dose reduction.

Paper Details

Date Published: 16 March 2011
PDF: 7 pages
Proc. SPIE 7961, Medical Imaging 2011: Physics of Medical Imaging, 79613M (16 March 2011); doi: 10.1117/12.878362
Show Author Affiliations
Yinghua Tao, Univ. of Wisconsin-Madison (United States)
Stephen Brunner, Univ. of Wisconsin-Madison (United States)
Jie Tang, Univ. of Wisconsin-Madison (United States)
Michael Speidel, Univ. of Wisconsin-Madison (United States)
Howard Rowley, Univ. of Wisconsin-Madison (United States)
Michael VanLysel, Univ. of Wisconsin-Madison (United States)
Guang-Hong Chen, Univ. of Wisconsin-Madison (United States)


Published in SPIE Proceedings Vol. 7961:
Medical Imaging 2011: Physics of Medical Imaging
Norbert J. Pelc; Ehsan Samei; Robert M. Nishikawa, Editor(s)

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