On fiducial target registration error in the presence of anisotropic noise

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

Volumn 4792 LNCS, Issue PART 2, 2007, Pages 628-635

  Ma, Burton ^a   Moghari, Mehdi H ^b   Ellis, Randy E ^a,b   Abolmaesumi, Purang ^a,b  

^a KINGSTON GENERAL HOSPITAL   (Canada)

^b QUEEN S UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ANISOTROPY; COMPUTER SIMULATION; ERROR ANALYSIS; KALMAN FILTERS; MEDICAL IMAGING;

ANISOTROPIC NOISE; FIDUCIAL REGISTRATION; TARGET REGISTRATION ERROR (TRE);

IMAGE REGISTRATION;

ALGORITHM; ANISOTROPY; ARTICLE; ARTIFACT; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS;

ALGORITHMS; ANISOTROPY; ARTIFACTS; ARTIFICIAL INTELLIGENCE; DATA INTERPRETATION, STATISTICAL; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 84883842745     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-75759-7_76     Document Type: Conference Paper

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