Finite element modeling of brain tumor mass-effect from 3D medical images

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

Volumn 3749 LNCS, Issue , 2005, Pages 400-408

  Mohamed, Ashraf ^a,b   Davatzikos, Christos ^a,b  

^a JOHNS HOPKINS UNIVERSITY   (United States)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN TUMOR; MECHANICAL MODELS; RADIOLOGICAL IMAGES;

BRAIN; FINITE ELEMENT METHOD; MAGNETIC RESONANCE IMAGING; MATHEMATICAL MODELS; MEDICAL IMAGING; RADIOLOGY;

TUMORS;

ALGORITHM; ANIMAL; ARTICLE; BIOLOGICAL MODEL; BRAIN; BRAIN TUMOR; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; DOG; EVALUATION; FINITE ELEMENT ANALYSIS; HUMAN; IMAGE QUALITY; INFORMATION RETRIEVAL; METHODOLOGY; PATHOLOGY; PATHOPHYSIOLOGY; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING; VALIDATION STUDY;

ALGORITHMS; ANIMALS; BRAIN; BRAIN NEOPLASMS; COMPUTER SIMULATION; DOGS; FINITE ELEMENT ANALYSIS; HUMANS; IMAGING, THREE-DIMENSIONAL; INFORMATION STORAGE AND RETRIEVAL; MODELS, BIOLOGICAL; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 33744793241     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11566465_50     Document Type: Conference Paper

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