2018
DOI: 10.1088/1361-6501/aab754
|View full text |Cite
|
Sign up to set email alerts
|

Real-time quasi-3D tomographic reconstruction

Abstract: Developments in acquisition technology and a growing need for time-resolved experiments pose great computational challenges in tomography. In addition, access to reconstructions in real time is a highly demanded feature but has so far been out of reach. We show that by exploiting the mathematical properties of filtered backprojection-type methods, having access to real-time reconstructions of arbitrarily oriented slices becomes feasible. Furthermore, we present RECAST3D, software for visualization and on-deman… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

0
27
0

Year Published

2018
2018
2023
2023

Publication Types

Select...
6

Relationship

2
4

Authors

Journals

citations
Cited by 18 publications
(28 citation statements)
references
References 21 publications
0
27
0
Order By: Relevance
“…To achieve real-time visualisation of tomographic experiments, our pipeline includes two main parts: a detector component that provides direct access to acquired projections in real time, and a software component that can process the acquired data and visualise results in real time. In the realisation we present here, the detector component is implemented using the GigaFRoST detection and readout system 4 , while the software component consists of the RECAST3D real-time reconstruction and visualisation software and streaming architecture 12 . We will first discuss in more detail the elements of both components relevant to the presented pipeline, and then explain how the two components were integrated.…”
Section: Methodsmentioning
confidence: 99%
See 3 more Smart Citations
“…To achieve real-time visualisation of tomographic experiments, our pipeline includes two main parts: a detector component that provides direct access to acquired projections in real time, and a software component that can process the acquired data and visualise results in real time. In the realisation we present here, the detector component is implemented using the GigaFRoST detection and readout system 4 , while the software component consists of the RECAST3D real-time reconstruction and visualisation software and streaming architecture 12 . We will first discuss in more detail the elements of both components relevant to the presented pipeline, and then explain how the two components were integrated.…”
Section: Methodsmentioning
confidence: 99%
“…The RECAST3D framework 12 provides a quasi 3D reconstruction of the scanned object by simultaneously reconstructing and visualising a set of arbitrarily oriented tomographic slices, which can be dynamically chosen by the user and are constantly updated in real time (Fig. 1).…”
Section: Methodsmentioning
confidence: 99%
See 2 more Smart Citations
“…Besides image quality, another crucial performance metric of the tomography pipeline is the time required for a scan and the computational requirements of its data processing. The articles [14][15][16] focus on various aspects of high-throughput tomography systems, related to running time and data storage requirements.…”
mentioning
confidence: 99%