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Parametric Image

About: Parametric Image is a research topic. Over the lifetime, 311 publications have been published within this topic receiving 6095 citations.


Papers
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Journal ArticleDOI
TL;DR: Wang et al. as mentioned in this paper proposed a temporal non-local convolutional neural network to estimate the motion corrected full-dose direct Patlak images from the dynamic PET reconstruction series.

4 citations

Journal ArticleDOI
01 Aug 1969
TL;DR: In this paper, it was shown that the image upconverter can operate with point source pump-beams as well as the commonly used planar pump source, and that the major effect of the pump beam divergence is not to degrade the resolution but is to change the transverse and longitudinal magnification of the image.
Abstract: It is shown that the image upconverter can operate with point source pump-beams as well as the commonly used planar pump source. The major effect of the pump beam divergence is not to degrade the resolution but is to change the transverse and longitudinal magnification of the image. We demonstrate by a paraxial ray-tracing analysis that these changes in image dimensions and location obey relations quite similar to thin-lens formulae.

4 citations

Book ChapterDOI
14 Nov 2006
TL;DR: This new algorithm minimizes a new cost function quite different to the original non-parametric SSD-ARC, which explicitly models outlier punishments, using a combination of a genetic algorithm and the Newton–Levenberg–Marquardt method.
Abstract: We present the GA–SSD–ARC–NLM, a new robust parametric image registration technique based on the non–parametric image registration SSD–ARC algorithm. This new algorithm minimizes a new cost function quite different to the original non-parametric SSD-ARC, which explicitly models outlier punishments, using a combination of a genetic algorithm and the Newton–Levenberg–Marquardt method. The performance of the new method was compared against two robust registration techniques: the Lorentzian Estimator and the RANSAC method. Experimental tests using gray level images with outliers (noise) were done using the three algorithms. The goal was to find an affine transformation to match two images; the new method improves the other methods when noisy images are used.

4 citations

Patent
03 Oct 2012
TL;DR: In this article, a method and system for displaying an ultrasonic parametric image showing tissue perfusion in registration with an anatomical ultrasonic image of the tissue containing the blood flow is described.
Abstract: A method and system are described for displaying an ultrasonic parametric image showing tissue perfusion in registration with an anatomical ultrasonic image of the tissue containing the blood flow The relative opacities of the parametric image and the anatomical image can be varied, enabling the clinician to view both the perfusion parameters and the blood flow simultaneously or in rapid succession In an illustrated embodiment the anatomical image or the parametric image can be viewed alone, or in anatomical registration with different or equal opacities The relative opacity can be changedin a smoothly continuous or stepwise manner

4 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20217
202013
201911
20186
201713
201613