Pulmonary nodule detection in CT images based on shape constraint CV model

Medical Physics

Volumn 42, Issue 3, 2015, Pages 1241-1254

  Wang, Bing ^a   Tian, Xuedong ^a   Wang, Qian ^a,b   Yang, Ying ^a   Xie, Hongzhi ^c   Zhang, Shuyang ^c   Gu, Lixu ^a,d  

^a HEBEI UNIVERSITY   (China)

^b Baoding Geological Engineering Exploration Institute   (China)

^c PEKING UNION MEDICAL COLLEGE HOSPITAL   (China)

^d SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

analysis of typical shape features; medical image analysis; pulmonary nodule detection; shape constraint CV model

Indexed keywords

BIOLOGICAL ORGANS; COMPUTER AIDED DIAGNOSIS; COMPUTERIZED TOMOGRAPHY; IMAGE SEGMENTATION; MEDICAL IMAGING; POSITRON EMISSION TOMOGRAPHY; SPHERES;

ANALYSE OF TYPICAL SHAPE FEATURE; CHAN-VESE MODEL; CT IMAGE; FALSE POSITIVE NODULES; IMAGE-BASED; MEDICAL IMAGE ANALYSIS; PULMONARY NODULE DETECTION; SHAPE CONSTRAINT CHAN-VESE MODEL; SHAPE CONSTRAINTS; SHAPE FEATURES;

BLOOD VESSELS;

ALGORITHM; ANATOMICAL CONCEPTS; ARTICLE; BLOOD VESSEL; CALCULATION; CHAN VESE MODEL; CLINICAL EFFECTIVENESS; CLINICAL EVALUATION; CLINICAL FEATURE; COMPUTER ASSISTED TOMOGRAPHY; FALSE POSITIVE NODULE; HUMAN; IMAGE ANALYSIS; JUXTA PLEURAL NODULE; JUXTA VASCULAR NODULE; LUNG BLOOD VESSEL; LUNG NODULE; LUNG PARENCHYMA; MATHEMATICAL MODEL; RADIOLOGICAL PARAMETERS; RECEIVER OPERATING CHARACTERISTIC; THORAX RADIOGRAPHY; IMAGE PROCESSING; LABORATORY DIAGNOSIS; LUNG; PATHOLOGY; PROCEDURES; RADIOGRAPHY;

FALSE POSITIVE REACTIONS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LUNG; SOLITARY PULMONARY NODULE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84923277925     PISSN: 00942405     EISSN: 24734209     Source Type: Journal    
DOI: 10.1118/1.4907961     Document Type: Article

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