Respiratory trace feature analysis for the prediction of respiratory-gated PET quantification

Physics in Medicine and Biology

Volumn 59, Issue 4, 2014, Pages 1027-1045

  Wang, Shouyi ^a,b   Bowen, Stephen R ^a   Chaovalitwongse, W Art ^a,b   Sandison, George A ^a   Grabowski, Thomas J ^a,b   Kinahan, Paul E ^a  

^a Department of Industrial and Systems Engineering ^*  (United States)

^b Department of Radiology   (United States)

Author keywords

patient classification; PET CT; respiratory gating; respiratory motion

Indexed keywords

QUANTITATIVE ACCURACY; QUANTITATIVE CHANGES; REPRESENTATIVE PATTERNS; RESPIRATORY GATINGS; RESPIRATORY MOTIONS; STANDARDIZED UPTAKE VALUES; STATISTICAL CHARACTERISTICS; STATISTICAL MODELING;

MOTION COMPENSATION; REGRESSION ANALYSIS; RESPIRATORS; RESPIRATORY MECHANICS;

PATIENT TREATMENT;

DIAGNOSTIC AGENT; FLUORODEOXYGLUCOSE F 18;

ARTICLE; BREATHING; COMPUTER ASSISTED TOMOGRAPHY; HUMAN; IMAGE PROCESSING; LIVER TUMOR; LUNG TUMOR; METHODOLOGY; POSITRON EMISSION TOMOGRAPHY; RADIOGRAPHY; RESPIRATORY GATED IMAGING; SCINTISCANNING; SIGNAL NOISE RATIO; STATISTICAL MODEL;

FLUORODEOXYGLUCOSE F18; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LIVER NEOPLASMS; LUNG NEOPLASMS; MODELS, STATISTICAL; POSITRON-EMISSION TOMOGRAPHY; RESPIRATION; RESPIRATORY-GATED IMAGING TECHNIQUES; SIGNAL-TO-NOISE RATIO; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84893844690     PISSN: 00319155     EISSN: 13616560     Source Type: Journal    
DOI: 10.1088/0031-9155/59/4/1027     Document Type: Article

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