Information-theoretic approach for analyzing bias and variance in lung nodule size estimation with CT: A phantom study

IEEE Transactions on Medical Imaging

Volumn 29, Issue 10, 2010, Pages 1795-1807

  Gavrielides, Marios A ^a   Zeng, Rongping ^a   Kinnard, Lisa M ^b   Myers, Kyle J ^a   Petrick, Nicholas ^a  

^a CENTER FOR DEVICES AND RADIOLOGICAL HEALTH   (United States)

^b DIAM/OSEL/CDRH/FDA ^*  (United States)

Author keywords

Lung nodule; Matched filter; Phantom study; Thoracic computed tomography (CT); Volume estimation

Indexed keywords

ACCURACY AND PRECISION; ADAPTIVE MODELS; BIAS AND VARIANCE; COMPUTED TOMOGRAPHY; COMPUTED TOMOGRAPHY DATA; EFFECT OF FACTORS; IMAGING PARAMETERS; INFORMATION-THEORETIC APPROACH; LOW BIAS; LUNG NODULE; OBJECT ACQUISITION; OBJECT OF INTERESTS; PHANTOM STUDIES; RECONSTRUCTION PARAMETERS; RECONSTRUCTION PROCESS; SIZE ESTIMATION; SIZE MEASUREMENTS; SUM OF ABSOLUTE DIFFERENCES; VOLUME ESTIMATIONS;

BIOLOGICAL ORGANS; COMPUTER SIMULATION; COMPUTERIZED TOMOGRAPHY; ESTIMATION; IMAGE SEGMENTATION; INFORMATION THEORY;

MATCHED FILTERS;

ALGORITHM; ANALYSIS OF VARIANCE; ARTICLE; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; HUMAN; IMAGE QUALITY; INFORMATION SCIENCE; LUNG NODULE; LUNG TUMOR; METHODOLOGY; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ANALYSIS OF VARIANCE; HUMANS; INFORMATION THEORY; LUNG NEOPLASMS; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SOLITARY PULMONARY NODULE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 77957585579     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2010.2052466     Document Type: Article

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