Reconstructing diffusion kurtosis tensors from sparse noisy measurements

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2010, Pages 4185-4188

  Liu, Yugang ^a,d   Wei, Siming ^b   Jiang, Quan ^c   Yu, Yizhou ^d  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b ZHEJIANG UNIVERSITY   (China)

^c HENRY FORD HOSPITAL   (United States)

^d UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

Denoising; Kurtosis tensors; Model reconstruction; MRI; Optimization

Indexed keywords

CLINICAL APPLICATION; DE-NOISING; DENOISING METHODS; DIFFUSION KURTOSIS TENSORS; GAUSSIAN BEHAVIOR; HUMAN SUBJECTS; ITERATIVE REWEIGHTING; KURTOSIS TENSORS; MODEL FITTING METHOD; MODEL FITTING TECHNIQUES; MODEL RECONSTRUCTION; MRI; MRI IMAGE; NOISY MEASUREMENTS; POTENTIAL VALUES; ROBUST DENOISING; SUBSPACE LEARNING;

DIFFUSION; IMAGE PROCESSING; IMAGING SYSTEMS; NOISE POLLUTION CONTROL; OPTIMIZATION; TENSORS;

MAGNETIC RESONANCE IMAGING;

EID: 78651061449     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2010.5649554     Document Type: Conference Paper

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