A new approach to autocalibrated dynamic parallel imaging based on the Karhunen-Loeve transform: KL-TSENSE and KL-TGRAPPA

Magnetic Resonance in Medicine

Volumn 65, Issue 6, 2011, Pages 1786-1792

  Ding, Yu ^a   Chung, Yiu Cho ^b   Jekic, Mihaela ^a,c   Simonetti, Orlando P ^a,c,d  

^a OHIO STATE UNIVERSITY   (United States)

^b Siemens Healthcare   (United States)

^c Ohio State University   (United States)

^d OHIO STATE UNIVERSITY   (United States)

Author keywords

magnetic resonance imaging; parallel imaging; principal component analysis

Indexed keywords

LEAST SQUARES APPROXIMATIONS; LOW PASS FILTERS; MAGNETIC RESONANCE IMAGING; MATHEMATICAL TRANSFORMATIONS; PRINCIPAL COMPONENT ANALYSIS; SIGNAL TO NOISE RATIO;

DYNAMIC MAGNETIC RESONANCE IMAGING; KARHUNEN LOEVE TRANSFORM (KLT); OPTIMAL LINEAR FILTER; PARALLEL IMAGING; PARALLEL IMAGING TECHNIQUES; RECONSTRUCTION METHOD; RESPIRATORY MOTIONS; TEMPORAL RESOLUTION;

BIOMEDICAL SIGNAL PROCESSING;

ARTICLE; AUTOCALIBRATION; CALIBRATION; EXERCISE TEST; FILTER; HUMAN; HUMAN EXPERIMENT; IMAGING SYSTEM; KARHUNEN LOEVE TRANSFORM; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; SENSITIVITY ANALYSIS; SIGNAL NOISE RATIO; TGRAPPA; TSENSE;

EID: 79958283174     PISSN: 07403194     EISSN: 15222594     Source Type: Journal    
DOI: 10.1002/mrm.22766     Document Type: Article

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