A multiresolution image reconstruction method in X-ray microCT
Résumé
We propose a method for multiresolution image reconstruction in X-ray micro computed tomography (microCT). It can have a variety of applications, from material characterization to small animal imaging studies. The main idea is to recover an overall image of the sample with a coarse resolution, and with a fine resolution for a region-of-interest (ROI). In a zoo-min CT type setup, two sets of data are used, taken at different magnifications ratios. They are combined with the help of an analytical relation and the reconstruction is an extension of the filtered back-projection (FBP) algorithm. We present results with simulated data, some performance aspects and a simple noise analysis.
Mots clés
medical image processing
Medical imaging
computerised tomography
Computed tomography
X-ray tomography
tomography
image reconstruction
filtered back projection
multiresolution image reconstruction
X-ray micro-CT
micro-CT
CT imaging
X-ray micro computed tomography
signal processing
image processing
coarse image resolution
magnification ratio
Pixel
Variable speed drives
Spatial resolution
Noise
multiresolution
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