DocumentCode :
128652
Title :
A new model-based spherical deconvolution method for multi-fiber reconstruction
Author :
Wu Ye ; Xu Youyou ; Feng Yuanjing ; Gao Chengfeng ; Li Fei
Author_Institution :
Coll. of Inf. Eng., Zhejiang Univ. of Technol., Hangzhou, China
fYear :
2014
fDate :
9-11 June 2014
Firstpage :
1456
Lastpage :
1460
Abstract :
We propose a novel method to reconstruct the multi-fiber orientation in this work. Firstly, we convolve DW-MRI signal with response function which is model-based to get the discretized fiber orientation distribution function. Secondly, we used the centered spherical Gaussian functions and the discretized fiber orientation density function to form a continuous fiber orientation density function which can correctly reveal the true fiber orientation density distributions in the 3D space. Finally, the properties of the method are demonstrated using both simulations and real datasets. And the results demonstrated the superiority of the proposed method over several existing multi-fiber reconstruction methods.
Keywords :
Gaussian processes; biodiffusion; biomedical MRI; deconvolution; image reconstruction; medical image processing; 3D space; DW-MRI signal; centered spherical Gaussian functions; continuous fiber orientation density function; discretized fiber orientation density function; discretized fiber orientation distribution function; model-based spherical deconvolution method; multifiber orientation reconstruction; multifiber reconstruction method; response function; true fiber orientation density distributions; Deconvolution; Density functional theory; Diffusion tensor imaging; Image resolution; Standards; Tensile stress; Multi-fiber reconstruction; high angular resolution diffusion imaging (HARDI); spherical deconvolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2014 IEEE 9th Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-4316-6
Type :
conf
DOI :
10.1109/ICIEA.2014.6931398
Filename :
6931398
Link To Document :
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