Advanced search
Publication Cover
Nondestructive Testing and Evaluation Volume 35, 2020 - Issue 3: iCT2020 Special Issue: NTE
Submit an article Journal homepage
590
Views
2
CrossRef citations to date
0
Altmetric
Research Article

Scanning trajectory optimisation using a quantitative Tuybased local quality estimation for robot-based X-ray computed tomography

Gabriel Herla Department Fraunhofer Application Center CTMT, Fraunhofer Institute for Integrated Circuits IIS, Deggendorf, Germany;b Faculty Mechanical Engineering and Mechatronics, Deggendorf Institute of Technology, Deggendorf, GermanyCorrespondence[email protected]
View further author information
,
Jochen Hillera Department Fraunhofer Application Center CTMT, Fraunhofer Institute for Integrated Circuits IIS, Deggendorf, Germany;b Faculty Mechanical Engineering and Mechatronics, Deggendorf Institute of Technology, Deggendorf, GermanyView further author information
&
Andreas Maierc Pattern Recognition Lab, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, GermanyView further author information
Pages 287-303 | Received 05 Jan 2020, Accepted 06 May 2020, Published online: 21 Jun 2020

References

  • Kastner J, Heinzl C. X-ray tomography. In: Ida N, Meyendorf N, editors. Handbook of advanced non-destructive evaluation. Cham: Springer; 2018. p. 1–72.
  • Kalender WA, Polacin A. Physical performance characteristics of spiral CT scanning. Med Phys. 1991;18(5):910–915.
  • Rehak M, Hassler U, Hanke R Acquisition trajectories for X-ray tomosynthesis applied to planar samples. In 2nd Int Symp NDT Aerosp. 2010;22: 24.
  • Tuy HK. An inversion formula for cone-beam reconstruction. SIAM J Appl Math. 1983;43(3):546–552.
  • Heinzl C, Kastner J, Amirkhamov A, et al. Optimal specimen placement in cone beam X-ray computed tomography. NDT E Int. 2012;50:42–49.
  • Amirkhanov A, Heinzl C, Reiter M, et al. Visual optimality and stability analysis of 3DCT scan positions. IEEE Trans Vis Comput Graph. 2010;16(6):1477–1486..
  • Brierley N, Bellon C, Lazaro Toralles B. Optimized multi-shot imaging inspection design. Proc R Soc A. 2018;474(2216):20170319.
  • Buratti A, Ferrucci M, Achour SB, et al. An analytical method for optimizing imaging parameters in industrial x-ray computed tomography for dimensional measurements on multimaterial workpieces. International society for optics and photonics. International society for optics and photonics. Dev X-Ray Tomograp X. 2016;9967:99671C.
  • Stayman JW, Capostagno S, Gang GJ, et al. Task-driven source–detector trajectories in cone-beam computed tomography: I. Theory and methods. J Med Imaging. 2019;6(2):025002.
  • Capostagno S, Stayman JW, Jacobson MW, et al. Task-driven source-detector trajectories in cone-beam computed tomography: II. Application to neuroradiology. J Med Imaging. 2019;6(2):025004..
  • Zhao C, Herbst M, Vogt S, et al. A robotic X-ray cone-beam CT system: trajectory optimization for 3D imaging of the weight-bearing spine. International society for optics and photonics. Med Imaging 2019. 2019;10948:109481L.
  • Zaech JN, Gao C, Bier B, et al. Learning to avoid poor images: towards task-aware C-arm cone-beam CT trajectories. International Conference on Medical Image Computing and Computer-Assisted Intervention; 2019 Oct 13-17; Shenzen, Cham: Springer; 2019. p. 11–19
  • Maier A, Kugler P, Lauritsch G, et al. Discrete estimation of data completeness for 3D scan trajectories with detector offset. In: Bildverarbeitung für die Medizin. Berlin, Heidelberg: Springer Vieweg; 2015; 47–52.
  • Liu B, Bennett J, Wang G, et al. Completeness map evaluation demonstrated with candidate next‐generation cardiac CT architectures. Med Phys. 2012;39(5):2405–2416..
  • Kirillov AA. A problem of IM Gel’fand. Doklady Akademii Nauk. 1961;137(2): 276–277. Russian Academy of Sciences.
  • Defrise M, Clack R, Townsend DW. Image reconstruction from truncated, two-dimensional, parallel projections. Inverse Problems. 1995;11(2):287.
  • Herl G, Rettenberger S, Hiller J, et al.. Metal artifact reduction by fusion of ct scans from different positions using the unfiltered backprojection. 9th Conference on Industrial Computed Tomography (iCT) 2019; 2019 Feb 1315; Padova, Italy; 2018.
  • Saff EB, Kuijlaars AB. Distributing many points on a sphere. Math Intelligencer. 1997;19(1):5–11.
  • Kasperl S, Schielein R, Sukowski F, et al. CT simulation study to demonstrate material impact using hole plates. 11th European Conference on Non-Destructive Testing; 2014 Oct 611; Prague, Czech Republic.
  • Thingiverse. Mattos A; [cited 2019 Dec 11]. Availabe from: https://www.thingiverse.com/thing:1695883.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.