Automatic segmentation of mandibular canal in cone beam CT images using conditional statistical shape model and fast marching

International Journal of Computer Assisted Radiology and Surgery

Volumn 12, Issue 4, 2017, Pages 581-593

  Abdolali, Fatemeh ^a   Zoroofi, Reza Aghaeizadeh ^a   Abdolali, Maryam ^b   Yokota, Futoshi ^c   Otake, Yoshito ^c   Sato, Yoshinobu ^c  

^a UNIVERSITY OF TEHRAN   (Iran)

^b AMIRKABIR UNIVERSITY OF TECHNOLOGY   (Iran)

^c NARA INSTITUTE OF SCIENCE AND TECHNOLOGY   (Japan)

Author keywords

Cone beam computed tomography; Implant surgery; Mandibular canal; Segmentation; Statistical shape models

Indexed keywords

ACCURACY; ARTICLE; CONE BEAM COMPUTED TOMOGRAPHY; EMBEDDING; HUMAN; IMAGE ENHANCEMENT; IMAGE PROCESSING; IMAGE SEGMENTATION; MANDIBLE; OSTEOLYSIS; PRIORITY JOURNAL; STATISTICAL MODEL; VELOCITY; DIAGNOSTIC IMAGING; PROCEDURES; SENSITIVITY AND SPECIFICITY; THEORETICAL MODEL;

CONE-BEAM COMPUTED TOMOGRAPHY; HUMANS; MANDIBLE; MODELS, THEORETICAL; SENSITIVITY AND SPECIFICITY;

EID: 84988649035     PISSN: 18616410     EISSN: 18616429     Source Type: Journal    
DOI: 10.1007/s11548-016-1484-2     Document Type: Article

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