• No results found

Hybrid PET-MR list-mode kernelized expectation maximization reconstruction

N/A
N/A
Protected

Academic year: 2019

Share "Hybrid PET-MR list-mode kernelized expectation maximization reconstruction"

Copied!
25
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Figure 1. Slices of the MR images used to estimate the kernel matrix for (a) simulated anthropomorphic torso, (b) [18F]FDG and (c) [18F]NaF studies.
Table 1. Parameter setting used for the different datasets.
Figure 2. Regions of interest (ROI) chosen for this study: (a) three lesions, L1, L2 and L3 and normal tissue region, L4 for the simulation; (b) target, t, and background, b, ROIs for the patient [18F]FDG study; (c) target, t, and background, b, ROIs plaque for patient [18F]NaF study.
Figure 3. Effect of hybrid kernel parameters: (a) σp, (b) σm (c) σdm = σdp and (d) N on RMSE using the simulated torso
+7

References

Related documents

In workers‘ compensation, law reforms have emphasized a medical definition, while prominent ADA jurisprudence has rejected a medical model in favor of social context (until

The first is to present an original approach for collecting demographic data in settings of armed conflicts using primary genealogical data.. This includes showing how

Thus, the results of fundus research during ophthalmoscopy on experimental animals have found that the optimal model of pathology was with single 5-minute IOP

Plasmonic nanostructures, which can confine and manipulate light below the diffraction limit, are becoming increasingly important in many areas of optical physics and devices. One

Through the analysis of stock market seasonality using daily data, it was found that no seasonality was present and there was no days of the week or weekend effect in Nifty and