Numerical and human observer comparison of tumor detection for 2D versus 3D whole-body PET imaging protocols

IEEE Nuclear Science Symposium and Medical Imaging Conference

Volumn 4, Issue , 2002, Pages 2243-2247

  Lartizien, C ^a   Kinahan, P E ^a   Swensson, R ^a   Comtat, C ^a   Trebossen R ^a  

^a UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

HUMAN OBSERVER DETECTABILITY; TUMOR DETECTION;

COMPUTER SIMULATION; CORRELATION METHODS; IMAGE ANALYSIS; IMAGE RECONSTRUCTION; MEDICAL IMAGING; TUMORS;

POSITRON EMISSION TOMOGRAPHY;

EID: 0035554566     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. Optimization of noise-equivalent count rates in 3D PET
2. Optimization of the injected dose based on noise equivalent count rates for 2D and 3D whole-body PET
3. ROC and localization ROC analyses of lesion detection in whole-body FDG PET: Effects of acquisition mode, attenuation correction and reconstruction algorithm
4. ROC methodology in radiologic imaging
5. Model observers for assessment of image quality
6. Relative lesion detectability in 3D vs. 2D dedicated multi-ring PET
7. A tumor detection observer study comparing 2D versus 3D wholebody PET imaging protocols
8. Free-response methodology: Alternate analysis and a new observer-performance experiment
9. Unified measurement of observer performance in detecting and localizing target objects on images
10. Simulating whole-body PET scanning with rapid analytical methods
11. Fast reconstruction of 3D PET data with accurate statistical modeling
12. Performing ROC studies with the same volume visualization software tools used in whole-body 3D PET oncology imaging
13. Comparison of receiver operating characteristic and forced choice observer performance measurement methods
14. Addition of a channel mechanism to the ideal-observer model
15. Channelized hotelling and human observer correlation for lesion detection in hepatic SPECT imaging