Automatic estimation of midline shift in patients with cerebral glioma based on enhanced voigt model and local symmetry

Australasian Physical and Engineering Sciences in Medicine

Volumn 38, Issue 4, 2015, Pages 627-641

  Chen, Mingyang ^a,b   Elazab, Ahmed ^a,b   Jia, Fucang ^a,b   Wu, Jianhuang ^a,b   Li, Guanglin ^a,b   Li, Xiaodong ^c   Hu, Qingmao ^a,b  

^a SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

^c LINYI PEOPLE'S HOSPITAL   (China)

Author keywords

Cerebral glioma; Deformed midline; Local symmetry; Magnetic resonance imaging; Mechanical model

Indexed keywords

BRAIN; DEFORMATION; DIAGNOSIS; MAGNETIC RESONANCE IMAGING; PATHOLOGY; PINHOLE CAMERAS; VOLUMETRIC ANALYSIS;

AUTOMATIC QUANTIFICATION; CEREBRAL GLIOMAS; DEFORMED MIDLINE; LOCAL SYMMETRY; MECHANICAL MODEL; PIN-HOLE CAMERA MODELS; SPATIAL INFORMATIONS; SURVIVAL POSSIBILITIES;

TUMORS;

ARTICLE; CANCER LOCALIZATION; CLINICAL ARTICLE; CONTROLLED STUDY; DISEASE SEVERITY; GLIOMA; HUMAN; IMAGE ANALYSIS; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; VOIGT MODEL; BRAIN TUMOR; ELASTICITY; IMAGE PROCESSING; PATHOLOGY; PROCEDURES; THEORETICAL MODEL; VISCOSITY;

BRAIN NEOPLASMS; ELASTICITY; GLIOMA; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MODELS, THEORETICAL; VISCOSITY;

EID: 84952984267     PISSN: 01589938     EISSN: 18795447     Source Type: Journal    
DOI: 10.1007/s13246-015-0372-3     Document Type: Article

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