Improved diffusion imaging through SNR-enhancing joint reconstruction

Magnetic Resonance in Medicine

Volumn 69, Issue 1, 2013, Pages 277-289

  Haldar, Justin P ^a,b,c   Wedeen, Van J ^d   Nezamzadeh, Marzieh ^e,f   Dai, Guangping ^d   Weiner, Michael W ^e,f   Schuff, Norbert ^e,f   Liang, Zhi Pei ^a  

^a University of Illinois at Urbana Champaign   (United States)

^b University of Southern California   (United States)

^c UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^d HARVARD MEDICAL SCHOOL   (United States)

^e SAN FRANCISCO VETERANS AFFAIRS MEDICAL CENTER   (United States)

^f UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

denoising; diffusion imaging; feature preservation; statistical reconstruction

Indexed keywords

BIOMEDICAL SIGNAL PROCESSING; DIFFUSION; DIFFUSION TENSOR IMAGING; GAUSSIAN NOISE (ELECTRONIC); IMAGE ENHANCEMENT; IMAGE RECONSTRUCTION; IMAGE RESOLUTION; MAGNETIC RESONANCE IMAGING; TENSORS;

DE-NOISING; DIFFUSION IMAGING; DIFFUSION SPECTRUM IMAGING; DIFFUSION WEIGHTED IMAGES; FEATURE PRESERVATION; RECONSTRUCTION TECHNIQUES; STATISTICAL RECONSTRUCTION; STATISTICAL RECONSTRUCTION METHODS;

SIGNAL TO NOISE RATIO;

ARTICLE; DIFFUSION WEIGHTED IMAGING; IMAGE RECONSTRUCTION; JOINT; KERNEL METHOD; NOISE REDUCTION; SIGNAL NOISE RATIO; TRACTOGRAPHY;

EID: 84872850612     PISSN: 07403194     EISSN: 15222594     Source Type: Journal    
DOI: 10.1002/mrm.24229     Document Type: Article

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