This thesis proposed a parameter-optimized iterative reconstruction method (optimized-CGTV) for tomographic reconstruction with limited projections subject to the minimization of the total variation (TV). The reconstruction problem is solved with a parameter optimization applying a discrete L-curve. The optimized-CGTV reconstruction method is incorporated into an automatic framework of parallel 3D reconstruction on a computer cluster to achieve a rapid reconstruction process
Conventional algorithms for tomographic reconstruction require a discrete set of projections equally...
In this work we study a model for the breast image reconstruction in Digital Tomosynthesis, that is ...
We propose a method for fast and automatic estimation of spatially dependent regularization maps for...
With the development of the compressive sensing theory, the image reconstruction from the projection...
This dissertation aims at reducing the dose and the acquisition time in medical and in industrial C...
This thesis presents and analyzes several novel algorithms and techniques that efficiently produce h...
High-resolution, three-dimensional (3D) imaging of soft tissues requires the solution of two inverse...
In this paper, we present a novel iterative reconstruction algorithm for discrete tomography (DT) na...
This thesis develops a new tomographic reconstruction method to reconstruct a sequence of good image...
The computed tomography is one of the most important medical instruments, allowing the non-invasive ...
Au cours des dernières années, les techniques d'imagerie par tomographie se sont diversifiées pour d...
This dissertation presents efficient implementations of iterative X-rays image reconstruction method...
Tomography imaging techniques produce volumetric images of the three-dimensional structure of an obj...
AbstractIn X-ray computed tomography (CT) iterative methods are more suitable for the reconstruction...
We propose a scaled gradient projection algorithm for the reconstruction of 3D X-ray tomographic ima...
Conventional algorithms for tomographic reconstruction require a discrete set of projections equally...
In this work we study a model for the breast image reconstruction in Digital Tomosynthesis, that is ...
We propose a method for fast and automatic estimation of spatially dependent regularization maps for...
With the development of the compressive sensing theory, the image reconstruction from the projection...
This dissertation aims at reducing the dose and the acquisition time in medical and in industrial C...
This thesis presents and analyzes several novel algorithms and techniques that efficiently produce h...
High-resolution, three-dimensional (3D) imaging of soft tissues requires the solution of two inverse...
In this paper, we present a novel iterative reconstruction algorithm for discrete tomography (DT) na...
This thesis develops a new tomographic reconstruction method to reconstruct a sequence of good image...
The computed tomography is one of the most important medical instruments, allowing the non-invasive ...
Au cours des dernières années, les techniques d'imagerie par tomographie se sont diversifiées pour d...
This dissertation presents efficient implementations of iterative X-rays image reconstruction method...
Tomography imaging techniques produce volumetric images of the three-dimensional structure of an obj...
AbstractIn X-ray computed tomography (CT) iterative methods are more suitable for the reconstruction...
We propose a scaled gradient projection algorithm for the reconstruction of 3D X-ray tomographic ima...
Conventional algorithms for tomographic reconstruction require a discrete set of projections equally...
In this work we study a model for the breast image reconstruction in Digital Tomosynthesis, that is ...
We propose a method for fast and automatic estimation of spatially dependent regularization maps for...