ML segmentation strategies for object interference compensation in FDG-PET lesion quantification

Methods of Information in Medicine

Volumn 49, Issue 5, 2010, Pages 537-541

  de Bernardi, E ^a   Fiorani Gallotta, F ^a   Gianoli, C ^a   Zito, F ^b   Gerundini, P ^b   Baselli, G ^a  

^a POLITECNICO DI MILANO   (Italy)

^b FONDAZIONE IRCCS CA GRANDA OSPEDALE MAGGIORE POLICLINICO   (Italy)

Author keywords

AWOSEM; Lesion quantification; Partial volume effect correction; PET CT; Targeted reconstruction

Indexed keywords

DIAGNOSTIC AGENT; FLUORODEOXYGLUCOSE F 18;

ALGORITHM; ARTICLE; COMPUTER SIMULATION; EVALUATION; HUMAN; IMAGE ENHANCEMENT; IMAGE QUALITY; METHODOLOGY; POSITRON EMISSION TOMOGRAPHY; SCINTISCANNING; THORAX; THORAX TUMOR; THORAX WALL; VALIDATION STUDY;

ALGORITHMS; COMPUTER SIMULATION; FLUORODEOXYGLUCOSE F18; HUMANS; IMAGE ENHANCEMENT; PHANTOMS, IMAGING; POSITRON-EMISSION TOMOGRAPHY; THORACIC NEOPLASMS; THORACIC WALL; THORAX;

EID: 79952277255     PISSN: 00261270     EISSN: None     Source Type: Journal    
DOI: 10.3414/ME09-02-0040     Document Type: Article

References (8)

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