Tomographic reconstruction from a small number of projections by an efficient sum-product reasoning method
Sign Up to like & getrecommendations! Published in 2017 at "Computational and Applied Mathematics"
DOI: 10.1007/s40314-016-0313-0
Abstract: Tomographic reconstruction from a small number of projections is still a challenging problem. In the paper, we formulate this problem as a statistical graphical model by the smooth assumption that the image has a structure… read more here.
Keywords: tomographic reconstruction; sum product; small number; reconstruction small ... See more keywords
Tomographic reconstruction for a tangentially viewing visible light imaging diagnostic on EAST
Sign Up to like & getrecommendations! Published in 2018 at "Fusion Engineering and Design"
DOI: 10.1016/j.fusengdes.2018.04.038
Abstract: Abstract A two-dimensional tomographic reconstruction method based on the Phillips-Tikhonov regularization is proposed in this study, for a tangentially viewing visible light imaging diagnostic on EAST. Phantom tests are demonstrated to evaluate the performance of… read more here.
Keywords: imaging diagnostic; light imaging; tomographic reconstruction; tangentially viewing ... See more keywords
CASToR: a generic data organization and processing code framework for multi-modal and multi-dimensional tomographic reconstruction.
Sign Up to like & getrecommendations! Published in 2018 at "Physics in medicine and biology"
DOI: 10.1088/1361-6560/aadac1
Abstract: In tomographic medical imaging (PET, SPECT, CT), differences in data acquisition and organization are a major hurdle for the development of tomographic reconstruction software. The implementation of a given reconstruction algorithm is usually limited to… read more here.
Keywords: reconstruction; tomographic reconstruction; code framework; framework ... See more keywords
Tomographic reconstruction of tokamak edge turbulence from single visible camera data and automatic turbulence structure tracking
Sign Up to like & getrecommendations! Published in 2019 at "Nuclear Fusion"
DOI: 10.1088/1741-4326/ab0d4c
Abstract: Following the lead of [Nguyen van Yen Nucl. Fus. 52 (2012) 013005 (11pp)], this article tackles the problem of tomographic inversion with one camera assuming a constant emissivity of light along the magnetic field lines.… read more here.
Keywords: reconstruction; turbulence; tomographic reconstruction; tokamak ... See more keywords
Limitations imposed by optical turbulence profile structure and evolution on tomographic reconstruction for the ELT
Sign Up to like & getrecommendations! Published in 2020 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/staa795
Abstract: The performance of tomographic adaptive optics (AO) systems is intrinsically linked to the vertical profile of optical turbulence. First, a sufficient number of discrete turbulent layers must be reconstructed to model the true continuous turbulence… read more here.
Keywords: optical turbulence; tomographic reconstruction; evolution; turbulence ... See more keywords
Matrix-free tomographic reconstruction for atmospheric turbulence
Sign Up to like & getrecommendations! Published in 2019 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/stz1782
Abstract: Turbulence compensation in astronomy using adaptive optics depends on the use of tomographic techniques to work on wide fields of view. However, classic tomographic methods are computer intensive and consume too much memory to store… read more here.
Keywords: matrix free; tomographic reconstruction; turbulence; reconstruction atmospheric ... See more keywords
On the use of flat-fields for tomographic reconstruction.
Sign Up to like & getrecommendations! Published in 2017 at "Journal of synchrotron radiation"
DOI: 10.1107/s1600577516015812
Abstract: Seeking for quantitative tomographic images, it is of utmost importance to limit reconstruction artifacts. Detector imperfections, inhomogeneity of the incident beam, as classically observed in synchrotron beamlines, and their variations in time are a major… read more here.
Keywords: reconstruction; flat fields; tomographic reconstruction; fields tomographic ... See more keywords
TomocuPy – efficient GPU-based tomographic reconstruction with asynchronous data processing
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Synchrotron Radiation"
DOI: 10.1107/s1600577522010311
Abstract: TomocuPy, a Python software package for fast 3D reconstruction on graphics processing units (GPUs) and modern storage drives supporting parallel read/write operations, is presented. The package demonstrates significant performance gain compared with analogs and can… read more here.
Keywords: gpu based; tomocupy efficient; efficient gpu; reconstruction ... See more keywords
Monitored Tomographic Reconstruction—An Advanced Tool to Study the 3D Morphology of Nanomaterials
Sign Up to like & getrecommendations! Published in 2021 at "Nanomaterials"
DOI: 10.3390/nano11102524
Abstract: Detailed and accurate three-dimensional (3D) information about the morphology of hierarchically structured materials is derived from multi-scale X-ray computed tomography (XCT) and subsequent 3D data reconstruction. High-resolution X-ray microscopy and nano-XCT are suitable techniques to… read more here.
Keywords: reconstruction; tomographic reconstruction; morphology; nano xct ... See more keywords
Robust and stable region-of-interest tomographic reconstruction using a robust width prior
Sign Up to like & getrecommendations! Published in 2020 at "Inverse Problems and Imaging"
DOI: 10.3934/ipi.2020013
Abstract: Region-of-interest computed tomography (ROI CT) aims at reconstructing a region within the field of view by using only ROI-focused projections. The solution of this inverse problem is challenging and methods of tomographic reconstruction that are… read more here.
Keywords: reconstruction; region interest; tomographic reconstruction; roi ... See more keywords