Intensity-based volumetric registration of contrast-enhanced MR breast images

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4190 LNCS - I, Issue , 2006, Pages 671-678

  Sun, Yin ^a   Yan, Chye Hwang ^a   Ong, Sim Heng ^a   Tan, Ek Tsoon ^a   Wang, Shih Chang ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL ORGANS; COMPUTER SIMULATION; DEFORMATION; IMAGE ANALYSIS; MAGNETIC RESONANCE IMAGING; MOTION ESTIMATION; OPTIMIZATION; PROBABILITY DENSITY FUNCTION;

BREAST; LESION; NORMALIZED MUTUAL INFORMATION (NMI); SIMPLE SUM OF SQUARED DIFFERENCE (SSD);

ALGORITHMS;

CONTRAST MEDIUM; DIAGNOSTIC AGENT; GADOLINIUM PENTETATE;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BREAST; BREAST TUMOR; COMPUTER ASSISTED DIAGNOSIS; EVALUATION; FEMALE; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BREAST; BREAST NEOPLASMS; CONTRAST MEDIA; FEMALE; GADOLINIUM DTPA; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 84883838800     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11866565_82     Document Type: Conference Paper

References (13)

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