PCA-based groupwise image registration for quantitative MRI

Medical Image Analysis

Volumn 29, Issue , 2016, Pages 65-78

  Huizinga, W ^a   Poot, D H J ^a,b   Guyader, J M ^a   Klaassen, R ^c   Coolen, B F ^c   Van Kranenburg, M ^a   Van Geuns, R J M ^a   Uitterdijk, A ^a   Polfliet, M ^d,e   Vandemeulebroucke, J ^d,e   Leemans, A ^f   Niessen, W J ^a,b   Klein, S ^a  

^a ERASMUS MEDICAL CENTER   (Netherlands)

^b DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

^c ACADEMIC MEDICAL CENTER   (Netherlands)

^d VRIJE UNIVERSITEIT BRUSSEL   (Belgium)

^e IMinds   (Belgium)

^f UNIVERSITY MEDICAL CENTER UTRECHT   (Netherlands)

Author keywords

Groupwise image registration; Motion compensation; Principal component analysis; Quantitative MRI

Indexed keywords

ALIGNMENT; BRAIN MAPPING; COMPUTERIZED TOMOGRAPHY; COST FUNCTIONS; IMAGE REGISTRATION; MAGNETIC RESONANCE IMAGING; MAPPING; MOTION ANALYSIS; MOTION COMPENSATION; PARAMETER ESTIMATION; SURFACE DIFFUSION; TENSORS;

ACQUISITION PARAMETERS; APPARENT DIFFUSION COEFFICIENT; DYNAMIC CONTRAST ENHANCED; GEOMETRIC DISTORTION; QUANTITATIVE MAGNETIC RESONANCE IMAGING; QUANTITATIVE MRIS; REGISTRATION ACCURACY; REGISTRATION METHODS;

PRINCIPAL COMPONENT ANALYSIS;

CONTRAST MEDIUM;

ANALYTIC METHOD; ARTICLE; CAROTID ARTERY; CONTRAST ENHANCEMENT; DIFFUSION COEFFICIENT; FOUR DIMENSIONAL COMPUTED TOMOGRAPHY; IMAGE ANALYSIS; MEASUREMENT ACCURACY; NUCLEAR MAGNETIC RESONANCE IMAGING; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; ALGORITHM; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 84954477850     PISSN: 13618415     EISSN: 13618423     Source Type: Journal    
DOI: 10.1016/j.media.2015.12.004     Document Type: Article

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