Evaluation of non-local means based denoising filters for diffusion kurtosis imaging using a new phantom

PLoS ONE

Volumn 10, Issue 2, 2015, Pages

  Zhou, Min Xiong ^a,b   Yan, Xu ^c   Xie, Hai Bin ^a   Zheng, Hui ^a   Xu, Dongrong ^d,e   Yang, Guang ^a  

^a EAST CHINA NORMAL UNIVERSITY   (China)

^b UNIVERSITY OF SHANGHAI FOR SCIENCE AND TECHNOLOGY   (China)

^c MR Collaboration NE Asia Siemens Healthcare ^*  (China)

^d B326 Science Building   (China)

^e NEW YORK STATE PSYCHIATRIC INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; DIFFUSION KURTOSIS IMAGING; DIFFUSION TENSOR IMAGING; DIGITAL FILTERING; IMAGE ANALYSIS; IMAGE NOISE; IMAGE RECONSTRUCTION; IMAGE STRUCTURE; IMAGING AND DISPLAY; IMAGING PHANTOM; MEASUREMENT ACCURACY; MEASUREMENT PRECISION; NOISE; NON LOCAL MEAN; SIGNAL NOISE RATIO; VECTOR NON LOCAL MEAN; DEVICES; DIFFUSION WEIGHTED IMAGING; EVALUATION STUDY; HUMAN; IMAGE ENHANCEMENT; IMAGE QUALITY; PROBABILITY; PROCEDURES;

ALGORITHMS; DIFFUSION MAGNETIC RESONANCE IMAGING; HUMANS; IMAGE ENHANCEMENT; PHANTOMS, IMAGING; PROBABILITY; SIGNAL-TO-NOISE RATIO;

EID: 84922569179     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0116986     Document Type: Article

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