<p>Regularised ADMM-type iterative reconstruction algorithm for X-ray tomographic reconstruction.</p> <p>Software highlights:</p> <ul> <li>Tomographic projection data are simulated without the "inverse crime" using <a href="https://github.com/dkazanc/TomoPhantom">TomoPhantom</a>. Noise and artifacts (zingers, rings) can be modelled and added to data if required.</li> <li>Simulated data reconstructed iteratively using ADMM-type algorithm with multiple "plug-and-play" regularisers from <a href="https://github.com/vais-ral/CCPi-Regularisation-Toolkit">CCPi-RegularisationToolkit</a>.</li> <li>Various projection (2D/3D) geometries are supported.</li> </ul
This thesis introduces a new method for image reconstruction in collimated Computed Tomography calle...
Abstract. Computed tomography is one of the most significant diagnostic techniques in medicine. This...
X-ray Computed Tomography is widely used in a broad range of fields including astronomy, geophysic...
Regularised FISTA-type iterative reconstruction algorithm for X-ray tomographic reconstruction with ...
Iterative reconstruction algorithms are often needed to help solve ill-posed inverse problems in com...
X-ray Computed Tomography is a non destructive technique which allows for the visualization of the i...
In clinical medical applications, sparse-view computed tomography (CT) imaging is an effective metho...
With the aid of X-ray Computed Tomography (CT) the internal structure of complex objects can be reco...
Abstract—Statistical image reconstruction for X-ray CT can provide improved image quality at reduced...
Au cours des dernières années, les techniques d'imagerie par tomographie se sont diversifiées pour d...
The thesis investigates the applications of iterative, statistical reconstruction (SR) algorithms in...
Abstract X-ray tomography is a reliable tool for determining the inner structure of 3-D object with...
In X-ray tomography, a three-dimensional image of the interior of an object is computed from multi...
Statistical methods for tomographic image reconstruction have improved noise and spatial resolution ...
This paper presents a deep learning algorithm for tomographic reconstruction (GANrec). The algorithm...
This thesis introduces a new method for image reconstruction in collimated Computed Tomography calle...
Abstract. Computed tomography is one of the most significant diagnostic techniques in medicine. This...
X-ray Computed Tomography is widely used in a broad range of fields including astronomy, geophysic...
Regularised FISTA-type iterative reconstruction algorithm for X-ray tomographic reconstruction with ...
Iterative reconstruction algorithms are often needed to help solve ill-posed inverse problems in com...
X-ray Computed Tomography is a non destructive technique which allows for the visualization of the i...
In clinical medical applications, sparse-view computed tomography (CT) imaging is an effective metho...
With the aid of X-ray Computed Tomography (CT) the internal structure of complex objects can be reco...
Abstract—Statistical image reconstruction for X-ray CT can provide improved image quality at reduced...
Au cours des dernières années, les techniques d'imagerie par tomographie se sont diversifiées pour d...
The thesis investigates the applications of iterative, statistical reconstruction (SR) algorithms in...
Abstract X-ray tomography is a reliable tool for determining the inner structure of 3-D object with...
In X-ray tomography, a three-dimensional image of the interior of an object is computed from multi...
Statistical methods for tomographic image reconstruction have improved noise and spatial resolution ...
This paper presents a deep learning algorithm for tomographic reconstruction (GANrec). The algorithm...
This thesis introduces a new method for image reconstruction in collimated Computed Tomography calle...
Abstract. Computed tomography is one of the most significant diagnostic techniques in medicine. This...
X-ray Computed Tomography is widely used in a broad range of fields including astronomy, geophysic...