Fast reconstruction of flat region in a super-short scan based on MD-FBP algorithm.

In circular cone-beam computed tomography (CT), although the minimum data filtered-backprojection (MD-FBP) algorithm has many significant applications, such as handling super-short scan problem, its reconstruction efficiency is limited by the heavy calculation of backprojection. In this paper, aiming at the image reconstruction of flat region in a super-short scan, an improved method based on MD-FBP algorithm is developed using an integral operation with fixed integral interval during the implementation of backprojection, which has an improvement in reconstruction efficiency and parallel performance compared with the original MD-FBP algorithm. It is found that if the thickness of the flat region is less than 0.0349 R (R is the scanning radius), the uncertainty of the method can be ignored. When the thickness of reconstructed region is a little fat, it can also be reconstructed by increasing the scanning radius befittingly. The results of numerical simulation and real data experiments have demonstrated the correctness and merits of the proposed method.

[1]  Emil Y. Sidky,et al.  Region of interest reconstruction from truncated data in circular cone-beam CT , 2006, IEEE Transactions on Medical Imaging.

[2]  Hiroyuki Kudo,et al.  Image reconstruction from fan-beam projections on less than a short scan , 2002, Physics in medicine and biology.

[3]  Xiaochuan Pan,et al.  A unified analysis of FBP-based algorithms in helical cone-beam and circular cone- and fan-beam scans. , 2004, Physics in medicine and biology.

[4]  Xiaochuan Pan,et al.  Image reconstruction in reduced circular sinusoidal cone-beam CT. , 2009, Journal of X-ray science and technology.

[5]  E. Sidky,et al.  Minimum data image reconstruction algorithms with shift-invariant filtering for helical, cone-beam CT , 2005, Physics in medicine and biology.

[6]  S. Samarasekera,et al.  Exact cone beam CT with a spiral scan. , 1998, Physics in medicine and biology.

[7]  L. Feldkamp,et al.  Practical cone-beam algorithm , 1984 .

[8]  Liang Li,et al.  A curve-filtered FDK (C-FDK) reconstruction algorithm for circular cone-beam CT. , 2011, Journal of X-ray science and technology.

[9]  H. Tuy AN INVERSION FORMULA FOR CONE-BEAM RECONSTRUCTION* , 1983 .

[10]  Jiqiang Guo,et al.  An improved half-covered helical cone-beam CT reconstruction algorithm based on localized reconstruction filter. , 2011, Journal of X-ray science and technology.

[11]  Xiaochuan Pan,et al.  Image reconstruction on PI-lines by use of filtered backprojection in helical cone-beam CT. , 2004, Physics in medicine and biology.

[12]  Xiaochuan Pan,et al.  Theory and algorithms for image reconstruction on chords and within regions of interest. , 2005, Journal of the Optical Society of America. A, Optics, image science, and vision.