Data assimilation using a gradient descent method for estimation of intraoperative brain deformation

Medical Image Analysis

Volumn 13, Issue 5, 2009, Pages 744-756

  Ji, Songbai ^a   Hartov, Alex ^a,b   Roberts, David ^b,c   Paulsen, Keith ^a,b  

^a DARTMOUTH COLLEGE   (United States)

^b NORRIS COTTON CANCER CENTER   (United States)

^c DARTMOUTH HITCHCOCK MEDICAL CENTER   (United States)

Author keywords

Biomechanical model; Brain shift; Data assimilation; Image guided neurosurgery; Inverse method

Indexed keywords

BIOMECHANICAL MODEL; BRAIN SHIFT; DATA ASSIMILATION; IMAGE-GUIDED NEUROSURGERY; INVERSE METHOD;

BIOMECHANICS; BRAIN MODELS; COMPUTATIONAL COMPLEXITY; COMPUTATIONAL METHODS; COMPUTER OPERATING SYSTEMS; DATA PROCESSING; DEFORMATION; ERROR COMPENSATION; IMAGE REGISTRATION; INVERSE PROBLEMS; LINEAR SYSTEMS; MOBILE TELECOMMUNICATION SYSTEMS; NEUROSURGERY; OPERATING ROOMS;

UNCERTAINTY ANALYSIS;

ACCURACY; ADULT; ALGORITHM; ARTICLE; BRAIN MALFORMATION; CALCULATION; CLINICAL ARTICLE; DATA ANALYSIS; ECHOGRAPHY; FEMALE; HUMAN; IMAGE ANALYSIS; INTERMETHOD COMPARISON; INTRAOPERATIVE PERIOD; MALE; NUCLEAR MAGNETIC RESONANCE; PRIORITY JOURNAL; REPRESENTER ALGORITHM; SIMULATION; STEEPEST GRADIENT DESCENT; TUMOR CLASSIFICATION; TUMOR LOCALIZATION; TUMOR VOLUME;

ADULT; ALGORITHMS; BRAIN; BRAIN NEOPLASMS; COMPUTER SIMULATION; ELASTICITY IMAGING TECHNIQUES; FEMALE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; INTRAOPERATIVE CARE; MALE; MIDDLE AGED; MODELS, NEUROLOGICAL; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SURGERY, COMPUTER-ASSISTED;

EID: 68849132196     PISSN: 13618415     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.media.2009.07.002     Document Type: Article

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