[[abstract]]We address the problem of recovering a CT image from partial fan-beam data and prior knowledge. The method used is that of convex projections also known as the method of projections onto convex sets (POCS). We consider several incomplete-data geometries including those associated with limited source travel and beam-blocking internal opacities. To enable the recovery we use several prior-knowledge constraints including one associated with the directivity of the image vector. The overall recovery algorithm can be practically implemented by exploiting the Toeplitz structure of key operators.[[fileno]]2030113010003[[department]]電機工程學
Region-of-interest (ROI) reconstruction in computed tomography (CT) is a problem receiving increasin...
AbstractThe problem addressed is that of synthesizing a function subject to a priori moment constrai...
Computed tomography (CT) is image reconstruction of objects using computer processed transmission or...
A method for reconstruction of an object f(x) x=(x,y,z) from a limited set of cone-beam projection d...
[[abstract]]The authors develop a projection operator that simultaneously projects onto the set of a...
Conventional algorithms for tomographic reconstruction require a discrete set of projections equally...
The method of projection onto convex sets (POCS) is used in signal reconstruction to find a function...
In this dissertation four algorithms are presented for the tomographic reconstruction of images usin...
Dans cet article on utilise la méthode de projection sur les ensembles convexes (appellé FOCS) pour ...
This work is concerned with 2D image reconstruction from fan-beam projections. It is shown that exac...
In this paper we present a new image recovery algorithm to remove, in addition to blocking, ringing ...
With the development of the compressive sensing theory, the image reconstruction from the projection...
We present a new fast backprojection algorithm for CT fan-beam reconstruction. The new algorithm ope...
International audienceMany problems in medical image reconstruction and machine learning can be form...
The principle issue addressed in this dissertation is generalized tomographic reconstruction from fa...
Region-of-interest (ROI) reconstruction in computed tomography (CT) is a problem receiving increasin...
AbstractThe problem addressed is that of synthesizing a function subject to a priori moment constrai...
Computed tomography (CT) is image reconstruction of objects using computer processed transmission or...
A method for reconstruction of an object f(x) x=(x,y,z) from a limited set of cone-beam projection d...
[[abstract]]The authors develop a projection operator that simultaneously projects onto the set of a...
Conventional algorithms for tomographic reconstruction require a discrete set of projections equally...
The method of projection onto convex sets (POCS) is used in signal reconstruction to find a function...
In this dissertation four algorithms are presented for the tomographic reconstruction of images usin...
Dans cet article on utilise la méthode de projection sur les ensembles convexes (appellé FOCS) pour ...
This work is concerned with 2D image reconstruction from fan-beam projections. It is shown that exac...
In this paper we present a new image recovery algorithm to remove, in addition to blocking, ringing ...
With the development of the compressive sensing theory, the image reconstruction from the projection...
We present a new fast backprojection algorithm for CT fan-beam reconstruction. The new algorithm ope...
International audienceMany problems in medical image reconstruction and machine learning can be form...
The principle issue addressed in this dissertation is generalized tomographic reconstruction from fa...
Region-of-interest (ROI) reconstruction in computed tomography (CT) is a problem receiving increasin...
AbstractThe problem addressed is that of synthesizing a function subject to a priori moment constrai...
Computed tomography (CT) is image reconstruction of objects using computer processed transmission or...