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ICIP
2010
IEEE
14 years 11 months ago
Statistical modeling of the lung nodules in low dose computed tomography scans of the chest
This work presents a novel approach in automatic detection of the lung nodules and is compared with respect to parametric nodule models in terms of sensitivity and specificity. A ...
Amal A. Farag, James Graham, Salwa Elshazly, Aly F...
MICCAI
2010
Springer
14 years 11 months ago
Value-Based Noise Reduction for Low-Dose Dual-Energy Computed Tomography
Abstract. We introduce a value-based noise reduction method for DualEnergy CT applications. It is based on joint intensity statistics estimated from high- and low-energy CT scans o...
Michael Balda, Björn Heismann, Joachim Horneg...
ICASSP
2011
IEEE
14 years 5 months ago
Sparsity-based Sinogram Denoising for low-dose Computed Tomography
We propose a sinogram restoration method which consists of a patch-wise non-linear processing, based on a sparsity prior in terms of a learned dictionary. An off-line learning pro...
Joseph Shtok, Michael Elad, Michael Zibulevsky
BIOTECHNO
2008
IEEE
15 years 7 months ago
Directional Invariance of Co-occurrence Matrices within the Liver
Co-occurrence matrices are one of three texture algorithms commonly used on Computed Tomography (CT) images. In this paper we analyze the directional invariance of Co-occurrence m...
Carl Philips, Daniel Li, Daniela Stan Raicu, Jacob...
PRIB
2007
Springer
230views Bioinformatics» more  PRIB 2007»
15 years 7 months ago
Classification of CT Brain Images of Head Trauma
A method for automatic classification of computed tomography (CT) brain images of different head trauma types is presented in this paper. The
Tianxia Gong, Ruizhe Liu, Chew Lim Tan, Neda Farza...