2019
DOI: 10.1016/j.parco.2018.12.007
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A geometric partitioning method for distributed tomographic reconstruction

Abstract: a b s t r a c tTomography is a powerful technique for 3D imaging of the interior of an object. With the growing sizes of typical tomographic data sets, the computational requirements for algorithms in tomography are rapidly increasing. Parallel and distributed-memory methods for tomographic reconstruction are therefore becoming increasingly common. An underexposed aspect is the effect of the data distribution on the performance of distributedmemory reconstruction algorithms. In this work, we introduce a geomet… Show more

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Cited by 6 publications
(5 citation statements)
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“…Alternatively, weighted back projection (WBP) reconstructions are ideal for quick assessment of specimen morphology due to their fast, non-iterative computation 24 , 25 . Figure 3 shows screenshots taken from a live WBP reconstruction visualized using tomviz—time proceeds from left to right.…”
Section: Resultsmentioning
confidence: 99%
“…Alternatively, weighted back projection (WBP) reconstructions are ideal for quick assessment of specimen morphology due to their fast, non-iterative computation 24 , 25 . Figure 3 shows screenshots taken from a live WBP reconstruction visualized using tomviz—time proceeds from left to right.…”
Section: Resultsmentioning
confidence: 99%
“…Alternatively, weighted back projection (WBP) reconstructions are ideal for quick assessment of specimen morphology due to their fast, non-iterative computation [21,22]. Figure 3 shows screenshots taken from a live WBP reconstruction visualized using tomviz-time proceeds from left to right.…”
Section: Resultsmentioning
confidence: 99%
“…When more advanced iterative reconstruction algorithms such as the simultaneous iterative reconstruction technique (SIRT) [33] are applied, capable of handling noisy and limited data, significantly longer computation times are required, even when using multiple GPUs. [32,34] The computational load further increases when using stateof-the-art reconstruction algorithms, which exploit prior knowledge about the reconstructed object. The discrete algebraic reconstruction technique (DART), for instance, uses prior knowledge on the discrete density of an object.…”
Section: Real-time Reconstruction Of Arbitrary Slicesmentioning
confidence: 99%