3D meshless prostate segmentation and registration in image guided radiotherapy

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

Volumn 5761 LNCS, Issue PART 1, 2009, Pages 43-50

  Chen, Ting ^a   Kim, Sung ^a   Zhou, Jinghao ^a   Metaxas, Dimitris ^b   Rajagopal, Gunaretnam ^a   Yue, Ning ^a  

^a RUTGERS CANCER INSTITUTE OF NEW JERSEY   (United States)

^b RUTGERS UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC SEGMENTATIONS; CONE-BEAM CT; CT IMAGE; DATA SETS; DEFORMABLE MODELS; IMAGE FEATURES; IMAGE GUIDED RADIOTHERAPY; IMAGE-GUIDED RADIATION THERAPY; LEVEL SET FORMULATIONS; MANUAL SEGMENTATION; MESHLESS; MESHLESS FORMULATIONS; NONRIGID REGISTRATION; OBJECT OF INTERESTS; PLANNING CT; POINT SET; PROSTATE CANCERS; PROSTATE SEGMENTATION; RADIATION DOSE; RADIATION ONCOLOGISTS; RADIATION THERAPY; RADIATION TREATMENTS; SEED POINT; SEGMENTATION RESULTS; SHAPE PRIORS; SPEED REQUIREMENT; TARGET SURFACE; VALIDATION STUDY;

DEFORMATION; IMAGE SEGMENTATION; MEDICAL COMPUTING; OPTIMIZATION; RADIOTHERAPY; THREE DIMENSIONAL;

COMPUTERIZED TOMOGRAPHY;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED RADIOTHERAPY; COMPUTER ASSISTED TOMOGRAPHY; HUMAN; IMAGE QUALITY; MALE; METHODOLOGY; PROSTATE TUMOR; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; HUMANS; IMAGING, THREE-DIMENSIONAL; MALE; PATTERN RECOGNITION, AUTOMATED; PROSTATIC NEOPLASMS; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RADIOTHERAPY, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, X-RAY COMPUTED;

EID: 79551682667     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-04268-3_6     Document Type: Conference Paper

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