Upper airway detection and visualization from cone beam image slices

Journal of X-Ray Science and Technology

Volumn 18, Issue 2, 2010, Pages 121-135

  Celenk, Mehmet ^a   Farrell, Mike L ^a   Eren, Haluk ^a   Kumar, K ^a   Singh, G Dave ^b   Lozanoff, Scott ^c  

^a OHIO UNIVERSITY   (United States)

^b BioModeling Solutions   (United States)

^c UNIVERSITY OF HAWAII   (United States)

Author keywords

CBCT images; Gaussian kernel blurring filter; PCA; upper airway image slices; upper airway segmentation; volumetric upper airway visualization

Indexed keywords

ALLERGIC RHINITIS; CONE BEAM; CONE-BEAM COMPUTED TOMOGRAPHY; GAUSSIAN KERNELS; GAUSSIAN SMOOTHING; IMAGE SLICES; OBSTRUCTIVE SLEEP APNEA; PRINCIPAL AXES; SOLID SURFACE; THREE-DIMENSIONAL (3D) MODEL; UPPER AIRWAY; UPPER AIRWAY SEGMENTATION;

COMPUTERIZED TOMOGRAPHY; DISEASE CONTROL; GAUSSIAN BEAMS; GAUSSIAN DISTRIBUTION; IMAGE SEGMENTATION; PRINCIPAL COMPONENT ANALYSIS; RESPIRATORY MECHANICS; SLEEP RESEARCH; TOOLS; TWO DIMENSIONAL; VISUALIZATION;

THREE DIMENSIONAL;

ALGORITHM; ARTICLE; CONE BEAM COMPUTED TOMOGRAPHY; HEAD; HUMAN; IMAGE PROCESSING; METHODOLOGY; NECK; NORMAL DISTRIBUTION; PRINCIPAL COMPONENT ANALYSIS; RADIOGRAPHY; RESPIRATORY SYSTEM;

ALGORITHMS; CONE-BEAM COMPUTED TOMOGRAPHY; HEAD; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; NECK; NORMAL DISTRIBUTION; PRINCIPAL COMPONENT ANALYSIS; RESPIRATORY SYSTEM;

EID: 77954719392     PISSN: 08953996     EISSN: None     Source Type: Journal    
DOI: 10.3233/XST-2010-0248     Document Type: Article

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