Noo F, Hoppe S, Dennerlein F, Lauritsch G, Hornegger J (2007)
Publication Type: Journal article, Original article
Publication year: 2007
Original Authors: Noo F., Hoppe S., Dennerlein F., Lauritsch G., Hornegger J.
Publisher: Institute of Physics: Hybrid Open Access
Book Volume: 52
Pages Range: 5393-5414
Journal Issue: 17
DOI: 10.1088/0031-9155/52/17/020
In computed tomography, analytical fan-beam (FB) and cone-beam (CB) image reconstruction often involves a view-dependent data differentiation. The implementation of this differentiation step is critical in terms of resolution and image quality. In this work, we present a new differentiation scheme that is robust to changes in the data acquisition geometry and to coarse view sampling. Our scheme was compared to two previously suggested methods, which we call the direct scheme and the chain-rule scheme. Image reconstructions were performed from computer-simulated data of the Shepp-Logan phantom, the FORBILD thorax phantom and a modified FORBILD head phantom. For FB reconstruction, we investigated three acquisition geometries: a circular, an ellipse-shaped and a square-shaped trajectory. For CB reconstruction, the circle-plus-line trajectory was considered. Image comparison showed that the new scheme performs consistently well when varying the scenario, in both FB and CB geometry, unlike the other two schemes. © 2007 IOP Publishing Ltd.
APA:
Noo, F., Hoppe, S., Dennerlein, F., Lauritsch, G., & Hornegger, J. (2007). A new scheme for view-dependent data differentiation in fan-beam and cone-beam computed tomography. Physics in Medicine and Biology, 52(17), 5393-5414. https://doi.org/10.1088/0031-9155/52/17/020
MLA:
Noo, Frédéric, et al. "A new scheme for view-dependent data differentiation in fan-beam and cone-beam computed tomography." Physics in Medicine and Biology 52.17 (2007): 5393-5414.
BibTeX: Download