Probabilistic refinement of model-based segmentation: Application to radiation therapy planning of the head and neck

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

Volumn 6326 LNCS, Issue , 2010, Pages 403-410

  Qazi, Arish A ^a   Kim, John J ^a,b   Jaffray, David A ^a,b   Pekar, Vladimir ^c  

^a PRINCESS MARGARET HOSPITAL   (Canada)

^b UNIVERSITY OF TORONTO   (Canada)

^c PHILIPS RESEARCH LABORATORIES   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ANATOMICAL STRUCTURES; AUTOMATED METHODS; AUTOMATED SEGMENTATION; AUTOMATIC INITIALIZATION; BELONG TO; BRAINSTEM; CONVENTIONAL MODELS; DEFORMABLE MODELS; HEAD AND NECK; HYBRID SEGMENTATION; IMAGE CONTENT; INTRINSIC PROPERTY; MODEL-BASED; MODEL-BASED SEGMENTATION; ORGANS AT RISKS; PAROTID GLANDS; PATIENT IMAGES; RADIATION THERAPY; REFINEMENT METHODS; SEGMENTATION ACCURACY; SHAPE CONSTRAINTS; TARGET VOLUMES;

AUGMENTED REALITY; IMAGE SEGMENTATION; MEDICAL IMAGING; RADIOTHERAPY; VIRTUAL REALITY;

THREE DIMENSIONAL;

EID: 78049446679     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15699-1_42     Document Type: Conference Paper

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