Learning approach to optical tomography
Optical tomography has been widely investigated for biomedical imaging applications. In
recent years optical tomography has been combined with digital holography and has been …
recent years optical tomography has been combined with digital holography and has been …
The PyHST2 hybrid distributed code for high speed tomographic reconstruction with iterative reconstruction and a priori knowledge capabilities
We present the PyHST2 code which is in service at ESRF for phase-contrast and absorption
tomography. This code has been engineered to sustain the high data flow typical of the 3rd …
tomography. This code has been engineered to sustain the high data flow typical of the 3rd …
Convex optimization problem prototyping for image reconstruction in computed tomography with the Chambolle–Pock algorithm
EY Sidky, JH Jørgensen, X Pan - Physics in Medicine & Biology, 2012 - iopscience.iop.org
The primal–dual optimization algorithm developed in Chambolle and Pock (CP)(2011 J.
Math. Imag. Vis. 40 1–26) is applied to various convex optimization problems of interest in …
Math. Imag. Vis. 40 1–26) is applied to various convex optimization problems of interest in …
DART: a practical reconstruction algorithm for discrete tomography
KJ Batenburg, J Sijbers - IEEE Transactions on Image …, 2011 - ieeexplore.ieee.org
In this paper, we present an iterative reconstruction algorithm for discrete tomography, called
discrete algebraic reconstruction technique (DART). DART can be applied if the scanned …
discrete algebraic reconstruction technique (DART). DART can be applied if the scanned …
Evaluation of sparse-view reconstruction from flat-panel-detector cone-beam CT
Flat-panel-detector x-ray cone-beam computed tomography (CBCT) is used in a rapidly
increasing host of imaging applications, including image-guided surgery and radiotherapy …
increasing host of imaging applications, including image-guided surgery and radiotherapy …
Compressive sensing in medical imaging
The promise of compressive sensing, exploitation of compressibility to achieve high quality
image reconstructions with less data, has attracted a great deal of attention in the medical …
image reconstructions with less data, has attracted a great deal of attention in the medical …
A constrained, total‐variation minimization algorithm for low‐intensity x‐ray CT
EY Sidky, Y Duchin, X Pan, C Ullberg - Medical physics, 2011 - Wiley Online Library
Purpose: The authors developed an iterative image‐reconstruction algorithm for application
to low‐intensity computed tomography projection data, which is based on constrained, total …
to low‐intensity computed tomography projection data, which is based on constrained, total …
Interface-specific x-ray phase retrieval tomography of complex biological organs
We demonstrate interface-specific propagation-based x-ray phase retrieval tomography of
the thorax and brain of small animals. Our method utilizes a single propagation-based x-ray …
the thorax and brain of small animals. Our method utilizes a single propagation-based x-ray …
Optimization-based reconstruction of sparse images from few-view projections
In this work, we investigate optimization-based image reconstruction from few-view (ie less
than ten views) projections of sparse objects such as coronary–artery specimens. Using …
than ten views) projections of sparse objects such as coronary–artery specimens. Using …
Constrained Minimization for Enhanced Exploitation of Gradient Sparsity: Application to CT Image Reconstruction
Exploiting sparsity in the image gradient magnitude has proved to be an effective means for
reducing the sampling rate in the projection view angle in computed tomography (CT). Most …
reducing the sampling rate in the projection view angle in computed tomography (CT). Most …