A Filtered Backprojection Algorithm for Triple-Source Helical Cone-Beam CT

• Published in: IEEE transactions on medical imaging Vol. 28; no. 3; pp. 384 - 393
• Main Authors: Zhao, Jun, Jin, Yannan, Lu, Yang, Wang, Ge
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.03.2009; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Band pass filters; Biomedical engineering; Biomedical imaging; Computational modeling; Computed tomography; Computed tomography (CT); cone-beam; Cone-Beam Computed Tomography - methods; filtered-backprojection (FBP); helical scanning; Humans; Image Processing, Computer-Assisted - methods; Image reconstruction; Image resolution; Parallel processing; Phantoms, Imaging; Reconstruction algorithms; Reproducibility of Results; triple-source
• ISSN: 0278-0062; 1558-254X; 1558-254X
• DOI: 10.1109/TMI.2008.2004817

Multisource cone-beam computed tomography (CT) is an attractive approach of choice for superior temporal resolution, which is critically important for cardiac imaging and contrast enhanced studies. In this paper, we present a filtered-backprojection (FBP) algorithm for triple-source helical cone-beam CT. The algorithm is both exact and efficient. It utilizes data from three inter-helix PI-arcs associated with the inter-helix PI-lines and the minimum detection windows defined for the triple-source configuration. The proof of the formula is based on the geometric relations specific to triple-source helical cone-beam scanning. Simulation results demonstrate the validity of the reconstruction algorithm. This algorithm is also extended to a multisource version for ( 2 N + 1 ) -source helical cone-beam CT. With parallel computing, the proposed FBP algorithms can be significantly faster than our previously published multisource backprojection-filtration algorithms. Thus, the FBP algorithms are promising in applications of triple-source helical cone-beam CT.