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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
35
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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%
Enhanced Resolution
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%
EM Algorithm
11%
PET Quantification
11%
Contrast Recovery Coefficient
11%
Anthropomorphic Phantom
11%
Coefficient of Variability
11%
Quantitative Performance
11%
Resolution Degradation
11%
Real-world Noise
11%
Noise Properties
11%
Quantitative Task
11%
OS-EM
11%
Image Coefficients
11%
Quantitative Performance Evaluation
11%
Noisy Dataset
11%
Bias Characteristics
11%
Generation Framework
11%
Treatment Response Assessment
11%
CRISTAL
11%
Non-collinearity
11%
PET System
11%
FDG-PET Imaging
11%
XCAT
11%
Iteration Point
11%
Visual Roughness
11%
Overshoot Phenomenon
11%
Degradation Phenomena
11%
Match Point
11%
Earth and Planetary Sciences
Point Spread Function
100%
Polyethylene Terephthalate
100%
Data Acquisition
5%
Crystal
5%
Dichotomy
5%
Neuroscience
Positron Emission Tomography
100%
Positron Emission Tomography
100%