Simulation of brain mass effect with an arbitrary Lagrangian and Eulerian FEM

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

Volumn 6362 LNCS, Issue PART 2, 2010, Pages 274-281

  Chen, Yasheng ^a   Ji, Songbai ^b   Wu, Xunlei ^c,d   An, Hongyu ^a   Zhu, Hongtu ^c,d   Shen, Dinggang ^a   Lin, Weili ^a  

^a UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

^b DARTMOUTH COLLEGE   (United States)

^c University of North Carolina at Chapel Hill   (United States)

^d RENCI   (United States)

Author keywords

ALEF; brain mechanics; intracranial stress estimation; mass effect

Indexed keywords

2D SIMULATIONS; ALEF; BIOMECHANICAL MODELING; BRAIN INJURY; BRAIN TISSUE; BRAIN TUMORS; EULERIAN; EXPLICIT DYNAMICS; FEM METHOD; HEMORRHAGIC STROKE; INTRACRANIAL STRESS ESTIMATION; LAGRANGIAN; LAGRANGIAN FRAMES; MASS EFFECTS; MESH DISTORTION; MESH SMOOTHING; NON-INVASIVE; PHYSIOLOGICAL PARAMETERS; PRESSURE LOADING; REACTION UNDER; STATE VARIABLES; STRESS DISTRIBUTION; THREE PHASIS; TISSUE PERFUSION; VON MISES STRESS;

ARCHITECTURAL ACOUSTICS; BIOMECHANICS; BRAIN; ESTIMATION; FINITE ELEMENT METHOD; LAGRANGE MULTIPLIERS; MEDICAL COMPUTING; MEDICAL IMAGING; PHYSIOLOGICAL MODELS; STRESS CONCENTRATION; THREE DIMENSIONAL COMPUTER GRAPHICS; TISSUE;

COMPUTER SIMULATION;

ALGORITHM; ARTICLE; BIOLOGICAL MODEL; BRAIN; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; FINITE ELEMENT ANALYSIS; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; PATHOPHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; BRAIN; COMPUTER SIMULATION; FINITE ELEMENT ANALYSIS; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MODELS, NEUROLOGICAL; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84879527628     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15745-5_34     Document Type: Conference Paper

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