Automated delineation of lung tumors in PET images based on monotonicity and a tumor-customized criterion

IEEE Transactions on Information Technology in Biomedicine

Volumn 15, Issue 5, 2011, Pages 691-702

  Ballangan, Cherry ^a,b   Wang, Xiuying ^a   Fulham, Michael ^c,d   Eberl, Stefan ^a,d   Yin, Yong ^e   Feng, Dagan ^a,f,g  

^a UNIVERSITY OF SYDNEY   (Australia)

^b PETRA CHRISTIAN UNIVERSITY   (Indonesia)

^c UNIVERSITY OF SYDNEY   (Australia)

^d ROYAL PRINCE ALFRED HOSPITAL   (Australia)

^e SHANDONG CANCER HOSPITAL AND INSTITUTE   (China)

^f HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

^g SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Lung tumor segmentation; nonsmall cell lung cancer (NSCLC); positron emission tomography (PET); tumor delineation

Indexed keywords

ADAPTIVE THRESHOLDS; FUZZY C MEAN; HOT SPOT; LUNG TUMOR; MONOTONIC PROPERTIES; MONOTONICITY; NON SMALL CELL LUNG CANCER; PET IMAGES; POSITRON EMISSION; SEMI-AUTOMATED; SIMILARITY COEFFICIENTS; SIMULATION DATA; STANDARDIZED UPTAKE VALUES; TUMOR BOUNDARY; TUMOR DELINEATION; TUMOR HETEROGENEITY; VOLUMETRIC ERRORS;

BIOLOGICAL ORGANS; COMPUTERIZED TOMOGRAPHY; IMAGE SEGMENTATION; OPTICAL FLOWS; POSITRON EMISSION TOMOGRAPHY; POSITRONS;

TUMORS;

ARTICLE; AUTOMATION; HUMAN; LUNG NON SMALL CELL CANCER; LUNG TUMOR; POSITRON EMISSION TOMOGRAPHY; SCINTISCANNING; VALIDATION STUDY;

AUTOMATION; CARCINOMA, NON-SMALL-CELL LUNG; HUMANS; LUNG NEOPLASMS; POSITRON-EMISSION TOMOGRAPHY;

EID: 80052603599     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2011.2159307     Document Type: Article

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