Title :
Diffusion Kurtosis Imaging Based on Adaptive Spherical Integral
Author :
Liu, Yugang ; Chen, Leiting ; Yu, Yizhou
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fDate :
4/1/2011 12:00:00 AM
Abstract :
Diffusion kurtosis imaging (DKI) is a recent approach in medical engineering that has potential value for both neurological diseases and basic neuroscience research. In this letter, we develop a robust method based on adaptive spherical integral that can compute kurtosis based quantities more precisely and efficiently. Our method integrates spherical trigonometry with a recursive computational scheme to make numerical estimations in kurtosis imaging convergent. Our algorithm improves the efficiency of computing integral invariants based on reconstructed diffusion kurtosis tensors and makes DKI better prepared for further clinical applications.
Keywords :
biomedical MRI; neurophysiology; recursive estimation; tensors; adaptive spherical integral; diffusion kurtosis imaging; kurtosis based quantities; medical engineering; neurological diseases; neuroscience research; numerical estimations; reconstructed diffusion kurtosis tensors; recursive computational scheme; robust method; spherical trigonometry; Anisotropic magnetoresistance; Approximation algorithms; Diffusion tensor imaging; Image reconstruction; Tensile stress; Adaptive spherical integral; MRI; kurtosis imaging; optimization;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2011.2113339