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Generalized PSF modeling for optimized quantitation in PET imaging
Saeed Ashrafinia
, Hassan Mohy-Ud-Din
, Nicolas A. Karakatsanis
, Abhinav K. Jha
, Michael E. Casey
, Dan J. Kadrmas
, Arman Rahmim
Department of Biomedical Engineering
Institute of Clinical and Translational Sciences (ICTS)
Precision Radiotheranostics Translation Center (PRTC)
Research output
:
Contribution to journal
›
Article
›
peer-review
33
Scopus citations
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Keyphrases
PET Imaging
100%
Point Spread Function
100%
Point Spread Function Modeling
100%
Generalized Points
100%
Tumor
22%
PET Image
22%
Standardized Uptake Value
22%
SUVmean
22%
Liver
11%
Treatment Monitoring
11%
PET Systems
11%
SUVmax
11%
Oncologic
11%
Task Performance
11%
Small Tumor
11%
Liver Tumor
11%
Number of Iterations
11%
Function Model
11%
Noise Level
11%
Noise Bias
11%
Image Noise
11%
Image Generation
11%
Edge Enhancement
11%
Contrast Recovery
11%
FDG-PET Scan
11%
EM Algorithm
11%
Contrast Recovery Coefficient
11%
Anthropomorphic Phantom
11%
Coefficient of Variability
11%
Degradation Process
11%
Quantitative Performance
11%
Resolution Degradation
11%
Realistic Noise
11%
Noncollinearity
11%
Noise Properties
11%
PET Quantitation
11%
Quantitative Task
11%
OS-EM
11%
Point Matching
11%
Quantitative Performance Evaluation
11%
Noisy Dataset
11%
Bias Characteristics
11%
Generation Framework
11%
Overshooting Phenomenon
11%
Medicine and Dentistry
Positron Emission Tomography
100%
Polyethylene Terephthalate
100%
Tumor
75%
Standardized Uptake Value
50%
Treatment Response
25%
Liver Tumor
25%
Prognostication
25%
Task Performance
25%
Earth and Planetary Sciences
Point Spread Function
100%
Polyethylene Terephthalate
100%
Data Acquisition
5%
Dichotomy
5%
Engineering
Point Spread Function
100%
Noise Level
5%
Image Noise
5%
Image Synthesis
5%
Edge Enhancement
5%
EM Algorithm
5%