Guobao Wang
University of California, Davis
AlgorithmParametric statisticsKernel methodBiomedical engineeringIterative reconstructionArtificial intelligenceIterative methodNoise reductionPattern recognitionPositron emission tomographyParametric ImageNuclear medicineComputer visionKernel (image processing)MathematicsComputer scienceImage qualityMedicineNoise (video)
90Publications
19H-index
1,173Citations
Publications 90
Newest
Nonalcoholic steatohepatitis (NASH) is a severe form of nonalcoholic fatty liver disease characterized by lobular inflammation and hepatocyte injury and is a key determinant of clinical outcome.1 Liver biopsy remains the gold standard for diagnosis but is limited by risks of the procedure and interobserver variability. Although magnetic resonance imaging (MRI)-based technology may provide novel means to identify NASH,2 there remains a significant need for other modalities to diagnose NASH noninv...
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#1Guobao Wang (UC Davis: University of California, Davis)H-Index: 19
#2Lorenzo Nardo (UC Davis: University of California, Davis)H-Index: 30
Last. Ramsey D. Badawi (UC Davis: University of California, Davis)H-Index: 29
view all 10 authors...
Quantitative dynamic PET with compartmental modeling has the potential to enable multiparametric imaging and more accurate quantification as compared to static PET imaging. Conventional methods for parametric imaging commonly use a single kinetic model for all image voxels and neglect the heterogeneity of physiological models, which can work well for single-organ parametric imaging but may significantly compromise total-body parametric imaging on long axial field-of-view scanners. In this paper,...
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#1Siqi Li (UC Davis: University of California, Davis)H-Index: 7
#2Guobao Wang (UC Davis: University of California, Davis)H-Index: 19
Image reconstruction for positron emission tomography (PET) is challenging because of the ill-conditioned tomographic problem and low counting statistics. Kernel methods address this challenge by using kernel representation to incorporate image prior information in the forward model of iterative PET image reconstruction. Existing kernel methods construct the kernels commonly using an empirical process, which may lead to suboptimal performance. In this paper, we describe the equivalence between t...
#1Souvik Sarkar (UC Davis: University of California, Davis)H-Index: 19
#2S. Chen (UC Davis: University of California, Davis)
Last. Guobao Wang (UC Davis: University of California, Davis)H-Index: 19
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Background: Nonalcoholic steatohepatitis (NASH) is a severe form of fatty liver disease that has been shown to be associated with chronic kidney disease (CKD). Mechanism for the association of NASH...
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#1Siqi Li (UC Davis: University of California, Davis)H-Index: 7
#2Guobao Wang (UC Davis: University of California, Davis)H-Index: 19
Combined use of PET and dual-energy CT provides complementary information for multi-parametric imaging. PET-enabled dual-energy CT combines a low-energy X-ray CT image with a high-energy -ray CT (G...
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#1Zahra Ashouri (Carleton University)H-Index: 1
#2Guobao Wang (UC Davis: University of California, Davis)H-Index: 19
Last. Robert A. de Kemp (OU: Ottawa University)
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Positron emission tomography (PET) imaging is used to track biochemical processes in the human body. PET image quality is limited by noise and several methods have been implemented to improve the quality. Kernel-based image reconstruction is among the methods implemented to increase PET image quality and commonly uses a Gaussian kernel to include spatial correlations from image priors into the forward projection model of PET. Unfortunately, the Gaussian kernel tends to smooth details in the reco...
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#1Yiran Wang (UC Davis: University of California, Davis)H-Index: 1
#2Elizabeth Li (UC Davis: University of California, Davis)H-Index: 1
Last. Guobao Wang (UC Davis: University of California, Davis)H-Index: 19
view all 4 authors...
The uEXPLORER total-body PET/CT system provides a very high level of detection sensitivity and simultaneous coverage of the entire body for dynamic imaging for quantification of tracer kinetics. This article describes the fundamentals and potential benefits of total-body kinetic modeling and parametric imaging focusing on the noninvasive derivation of blood input function, multiparametric imaging, and high-temporal resolution kinetic modeling. Along with its attractive properties, total-body kin...
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#3Thomas W. Smith (UC Davis: University of California, Davis)H-Index: 115
Myocardial blood flow (MBF) and flow reserve are usually quantified in the clinic with positron emission tomography (PET) using a perfusion-specific radiotracer (e.g., 82Rb-chloride). However, the clinical accessibility of existing perfusion tracers remains limited. Meanwhile, 18F-fluorodeoxyglucose (FDG) is a commonly used radiotracer for PET metabolic imaging without similar limitations. In this paper, we explore the potential of 18F-FDG for myocardial perfusion imaging by comparing the myocar...
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#7P.M. Price (Imperial College London)H-Index: 60
#10Terry Jones (UC Davis: University of California, Davis)H-Index: 90
Parametric imaging has been shown to provide better quantitation physiologically compared with SUV imaging in PET. With the increased sensitivity from a recently developed total-body PET scanner, whole-body scans with higher temporal resolution become possible for dynamic analysis and parametric imaging. In this paper, we focus on deriving the parameter k1 using compartmental modeling, and on developing a method to acquire whole-body FDG-PET parametric images using only the first 90 seconds of t...
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54 null Introduction: null null Total-body dynamic PET can provide tracer kinetic assays of physiologically and biologically relevant information across the entire human body. Our previous work has demonstrated the capability of performing dynamic PET imaging with 100-ms temporal resolution on the uEXPLORER scanner. Sub-second dynamic PET imaging allows clear visualization of fast tracer dynamics after bolus injection with physiological (cardiac and respiratory) motion in real-time. In this work...
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