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Proceedings Paper

Fast algorithm of 3D median filter for medical image despeckling
Author(s): Chengyi Xiong; Jianhua Hou; Zhirong Gao; Xiang He; Shaoping Chen
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Paper Abstract

Three-dimensional (3-D) median filtering is very useful to eliminate speckle noise from a medical imaging source, such as functional magnetic resonance imaging (fMRI) and ultrasonic imaging. 3-D median filtering is characterized by its higher computation complexity. N3(N3-1)/2 comparison operations would be required for 3-D median filtering with N×N×N window if the conventional bubble-sorting algorithm is adopted. In this paper, an efficient fast algorithm for 3-D median filtering was presented, which considerably reduced the computation complexity for extracting the median of a 3-D data array. Compared to the state-of-the-art, the proposed method could reduce the computation complexity of 3-D median filtering by 33%. It results in efficiently reducing the system delay of the 3-D median filter by software implementation, and the system cost and power consumption by hardware implementation.

Paper Details

Date Published: 14 November 2007
PDF: 5 pages
Proc. SPIE 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 678915 (14 November 2007); doi: 10.1117/12.750456
Show Author Affiliations
Chengyi Xiong, South Central Univ. for Nationalities (China)
Jianhua Hou, South Central Univ. for Nationalities (China)
Zhirong Gao, South Central Univ. for Nationalities (China)
Xiang He, South Central Univ. for Nationalities (China)
Shaoping Chen, South Central Univ. for Nationalities (China)


Published in SPIE Proceedings Vol. 6789:
MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques

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