You have requested a machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Neither SPIE nor the owners and publishers of the content make, and they explicitly disclaim, any express or implied representations or warranties of any kind, including, without limitation, representations and warranties as to the functionality of the translation feature or the accuracy or completeness of the translations.
Translations are not retained in our system. Your use of this feature and the translations is subject to all use restrictions contained in the Terms and Conditions of Use of the SPIE website.
18 March 2008Exact and approximate cone-beam reconstruction algorithms for C-arm based cone-beam CT using a two-concentric-arc source trajectory
In this paper, we present shift-invariant filtered backprojection (FBP) cone-beam image reconstruction algorithms
for a cone-beam CT system based on a clinical C-arm gantry. The source trajectory consists of two
concentric arcs which is complete in the sense that the Tuy data sufficiency condition is satisfied. This scanning
geometry is referred to here as a CC geometry (each arc is shaped like the letter "C"). The challenge for image
reconstruction for the CC geometry is that the image volume is not well populated by the familiar doubly
measured (DM) lines. Thus, the well-known DM-line based image reconstruction schemes are not appropriate
for the CC geometry. Our starting point is a general reconstruction formula developed by Pack and Noo which
is not dependent on the existence of DM-lines. For a specific scanning geometry, the filtering lines must be
carefully selected to satisfy the Pack-Noo condition for mathematically exact reconstruction. The new points
in this paper are summarized here. (1) A mathematically exact cone-beam reconstruction algorithm was formulated
for the CC geometry by utilizing the Pack-Noo image reconstruction scheme. One drawback of the
developed exact algorithm is that it does not solve the long-object problem. (2) We developed an approximate
image reconstruction algorithm by deforming the filtering lines so that the long object problem is solved while
the reconstruction accuracy is maintained. (3) In addition to numerical phantom experiments to validate the
developed image reconstruction algorithms, we also validate our algorithms using physical phantom experiments
on a clinical C-arm system.
The alert did not successfully save. Please try again later.
Tingliang Zhuang, Joseph Zambelli, Brian Nett, Shuai Leng, Guang-Hong Chen, "Exact and approximate cone-beam reconstruction algorithms for C-arm based cone-beam CT using a two-concentric-arc source trajectory," Proc. SPIE 6913, Medical Imaging 2008: Physics of Medical Imaging, 691321 (18 March 2008); https://doi.org/10.1117/12.772390