Analytic Cone-Beam CT reconstructions

Bongyong Song, Wooseok Nam, Justin C. Park, William Y. Song

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


THE 3D CONE BEAM computed tomography (CBCT) reconstructions can be done either analytically or iteratively. An analytic approach has an explicit formula for reconstructing the 3D volumetric images from a set of x-ray projection data. In particular, the well-known Feldkamp, Davis, and Kress (FDK) algorithm [1] offers a computationally efficient approximate formula that has an advantage of obtaining fair quality 3D images without requiring excess computations. Given the excessive number of voxels to be reconstructed for a CBCT image (often a few tens of millions of voxels), this low complexity formula has been the most commonly used CBCT reconstruction method in practice. It will be shown in Section 3.4 that, by using a currently available off-the-shelf graphics processing unit (GPU) computer, near real-time 3D CBCT reconstruction is possible. This computational advantage came from the fact that the reconstruction algorithm is derived from a simple yet neat mathematical x-ray projection model that includes an infinitesimal focal spot of the x-ray source, pencil beams from the source without any scattering, no measurement noise at the detector, etc. For this reason, the analytic method is not too flexible to incorporate various nonideal factors in the real system or to leverage possible additional information that can be used for further improving the image quality.

Original languageEnglish
Title of host publicationGraphics Processing Unit-Based High Performance Computing in Radiation Therapy
PublisherCRC Press
Number of pages16
ISBN (Electronic)9781482244793
ISBN (Print)9781482244786
StatePublished - Jan 1 2015


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