A general scheme for constructing inversion algorithms for cone beam CT.
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Displaying 1 – 10 of 10
A mixed norm estimate for the X-ray tranform.
Thomas Wolff (1998)
Revista Matemática Iberoamericana
A Nonlinear Parabolic Model in Processing of Medical Image
R. Aboulaich, S. Boujena, E. El Guarmah (2008)
Mathematical Modelling of Natural Phenomena
The image's restoration is an essential step in medical imaging. Several Filters are developped to remove noise, the most interesting are filters who permits to denoise the image preserving semantically important structures. One class of recent adaptive denoising methods is the nonlinear Partial Differential Equations who knows currently a significant success. This work deals with mathematical study for a proposed nonlinear evolution partial differential equation for image processing. The existence...
A total variation-based reconstruction method for dynamic MRI.
Landi, Germana, Piccolomini, Elena Loli, Zama, Fabiana (2008)
Computational & Mathematical Methods in Medicine
Amplitude suppression and chaos control in epileptic EEG signals.
Majumdar, Kaushik, Myers, Mark H. (2006)
Computational & Mathematical Methods in Medicine
Analysis of seizure EEG in kindled epileptic rats.
Sen, A.K., Kubek, M.J., Shannon, H.E. (2007)
Computational & Mathematical Methods in Medicine
Application of coupled neural oscillators for image texture segmentation and modeling of biological rhythms
Paweł Strumiłło, Michał Strzelecki (2006)
International Journal of Applied Mathematics and Computer Science
The role of relaxation oscillator models in application fields such as modeling dynamic systems and image analysis is discussed. A short review of the Van der Pol, Wilson-Cowan and Terman-Wang relaxation oscillators is given. The key property of such nonlinear oscillators, i.e., the oscillator phase shift (called the Phase Response Curve) as a result of external pulse stimuli is indicated as a fundamental mechanism to achieve and sustain synchrony in networks of coupled oscillators. It is noted...
Application of the random field theory in PET imaging - injection dose optimization
Jiří Dvořák, Jiří Boldyš, Magdaléna Skopalová, Otakar Bělohlávek (2013)
Kybernetika
This work presents new application of the random field theory in medical imaging. Results from both integral geometry and random field theory can be used to detect locations with significantly increased radiotracer uptake in images from positron emission tomography (PET). The assumptions needed to use these results are verified on a set of real and simulated phantom images. The proposed method of detecting activation (locations with increased radiotracer concentration) is used to quantify the quality...
Applied Mathematics and the Imaging of the Brain
A. S. Fokas (2003)
Δελτίο της Ελληνικής Μαθηματικής Εταιρίας
Arthritic hand-finger movement similarity measurements: tolerance near set approach.
Henry, Christopher, Peters, James F. (2011)
Computational & Mathematical Methods in Medicine
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