Top PDF Factor analysis of dynamic PET images: beyond Gaussian noise
Factor analysis of dynamic PET images: beyond Gaussian noise
... 3) Dynamic PET Image Simulation : The generation process that takes realistic count rates properties into consideration is detailed in ...concentration images are first computed from the input ...
12
Factor analysis of dynamic PET images: beyond Gaussian noise
... 3) Dynamic PET Image Simulation : The generation process that takes realistic count rates properties into consideration is detailed in ...concentration images are first computed from the input ...
13
Unmixing dynamic PET images: combining spatial heterogeneity and non-Gaussian noise
... (right) images after factorization with ...deviation of the 3it and 30it results estimated by β-LMM. For the same quantity of factors, LMM produces more constrained results than NMF due to the ...
6
Unmixing dynamic PET images with variable specific binding kinetics
... sensitivity analysis is a challenging task, which is further complex- ified by the non-convex nature of the ...percentage of their corresponding term in the overall objective function does not ...
12
Unmixing dynamic PET images: combining spatial heterogeneity and non-Gaussian noise
... (right) images after factorization with ...deviation of the 3it and 30it results estimated by β-LMM. For the same quantity of factors, LMM produces more constrained results than NMF due to the ...
7
Factor Analysis of Dynamic Sequence with Spatial Prior for 2D Cardiac Spect Sequences Analysis
... combination of chosen basis functions such as ...Component Analysis (ICA) or Non-Negative Matrix Factorization methods, widely used in hyperspectral unmixing [6, 7, 8, 9, ...oblique analysis. The ...
11
Unmixing dynamic PET images for voxel-based kinetic component analysis
... component analysis of dynamic PET ...number of basis elements and their corresponding proportions per ...number of spurious local optima for the cost function. The performance ...
13
Factor analysis of dynamic PET images
... Challenges of quantification While quantification techniques from the PET literature present a sufficiently accurate performance in several clinical applications, some challenges inherent to this general ...
229
Spatial normalization of brain images and beyond
... best of worlds. Mesmerized by their outstanding research objectives, most of the users accept spatial normalization results as optimal for their purpose without questioning their ...topology of the ...
19
3D+t segmentation of PET images using spectral clustering
... initialization of the centers and iteratively finds the partition of data that minimizes their distances to the clusters ...results of the clustering obtained with KM, AD-KSC and AD-KSC- 3D ...truth ...
6
Detecting transient gravitational waves in non-Gaussian noise with partially redundant analysis methods
... Interpretation of the combined results is ...calculation of the poste- rior probability distribution or upper limit for the rate of coalescing binaries can be carried out as it is normally performed ...
12
Recovering saturated images for high dynamic kernel-phase analysis
... estimator of the covariance matrix Σ is ...distribution of the aber- ration modes of the wavefront errors. In the case of a space tele- scope, thanks to the good stability of the PSF, ...
9
Dynamic Factor Models
... matrix of these residuals yields a consistent estimate of the number of dynamic factors, ...Large Dynamic Factor Models One of the most important uses of ...
42
3D+t segmentation of PET images using spectral clustering
... ALIDATION OF AD-KSC-3D ALGORITHM A. Simulation of realistic PET images We performed GATE Monte Carlo simulations of Gemini GXL PET 4D ...image of the Zubal head phantom ...
5
Characterization of PET/CT images using texture analysis: the past, the present… any future?
... Texture Analysis in 18F-FDG PET: Relationships Between Texture Parameters, Histogram Indices, Standardized Uptake Values, Metabolic Volumes, and Total Lesion ...18F-FDG PET Uptake Characterization ...
43
GPSSI: Gaussian Process for Sampling Segmentations of Images
... Visualization of dose uncertainty may guide the physician in this ...regions of high uncertainty if this allows for dose reductions in radiosensitive organs, and thereby reduces the risk of side ...
9
Coding along hermite polynomials for gaussian noise channels
... use of encoders drawn from non- Gaussian distributions along Hermite ...formance of non-Gaussian inputs is usually hard to analyze, we showed how the neighborhoods of Gaussian ...
6
On the Optimum Demodulation in the Presence of Gaussian Phase Noise
... demodulation of LDPC coded M -QAM To the best of our knowledge, performance gains provided by an appropriate decision metric for demodulation of coded systems over the Gaussian PN channel have ...
6
Analysis on errors due to photon noise and quantization process with multiple images
... In this paper, we tend to answer the above question by analyzing the trends of average quantization error, total error and photon noise with fixed and varied exposure time to take multip[r] ...
7
On the Optimum Demodulation in the Presence of Gaussian Phase Noise
... one of the foremost solutions to face the exponential growth of the data ...phase noise. This paper addresses the design of optimum receivers affected by phase ...assumption of a ...
6