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Reviewing GPU architectures to build efficient back projection for parallel geometries
2019
Journal of Real-Time Image Processing
Preserved Fulltext
Back-Projection is the major algorithm in Computed Tomography to reconstruct images from a set of recorded projections. ...
In this article, we present efficient implementations of the Back-Projection algorithm for parallel hardware. ...
In parallel tomography, however, exactly the same operations are performed for all the reconstructed slices. ...
doi:10.1007/s11554-019-00883-w
fatcat:qtxdgxy66fgdfev23f3cnskjmq
The multi-modal Australian ScienceS Imaging and Visualization Environment (MASSIVE) high performance computing infrastructure: applications in neuroscience and neuroinformatics research
2014
Frontiers in Neuroinformatics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Two detectors based on pco-edge cameras are available for use. ...
To demonstrate the importance of the file system capability in particular, benchmarking of X-TRACT on the M1 cluster has been performed using the Gridrec CT reconstruction algorithm (Rivers and Wang, ...
doi:10.3389/fninf.2014.00030
pmid:24734019
pmcid:PMC3973921
fatcat:liypgnyefnehxmmg52f3cwqw5q
Reviewing GPU architectures to build efficient back projection for parallel geometries
2019
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Back-Projection is the major algorithm in Computed Tomography to reconstruct images from a set of recorded projections. ...
In this article, we present efficient implementations of the Back-Projection algorithm for parallel hardware. ...
In parallel tomography, however, exactly the same operations are performed for all the reconstructed slices. ...
doi:10.5445/ir/1000096506
fatcat:o7knzpugnfhqhj35pslvtibqke
Development of Methods and Devices for Spatially and Temporally Resolved X-Ray Microscopy for Characterization in Heterogeneous Catalysis
2015
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Additionally, one must not to forget the proofreading of the entire thesis. ...
First for her friendship in general and moreover for a very frank and close collaboration. ...
The resampling was a major challenge for long time, but was recently tackled and demonstrated to work in the gridrec algorithm [96] . ...
doi:10.5445/ir/1000049565
fatcat:tm55vpikxnb45afvhmx2tb4pb4