Literature DB >> 18697525

Exact reconstruction of volumetric images in reverse helical cone-beam CT.

Seungryong Cho1, Dan Xia, Charles A Pelizzari, Xiaochuan Pan.   

Abstract

Helical scanning configuration has been used widely in diagnostic cone-beam computed tomography (CBCT) for acquiring data sufficient for exact image reconstruction over an extended volume. In image-guided radiation therapy (IGRT) and other applications of CBCT, it can be difficult, if not impossible, to implement mechanically a multiple-turn helical trajectory on the imaging systems due to hardware constraints. However, imaging systems in these applications often allow for the implementation of a reverse helical trajectory in which the rotation direction changes between two consecutive turns. Because the reverse helical trajectory satisfies Tuy's condition, when projections of the imaged object are nontruncated, it yields data sufficient for exact image reconstruction within the reverse helix volume. The recently developed chord-based algorithms such as the backprojection filtration (BPF) algorithm can readily be applied to reconstructing images on chords of a reverse helical trajectory, and they can thus reconstruct an image within a volume covered by the chords. Conversely, the chord-based algorithms cannot reconstruct images within regions that are not intersected by chords. In a reverse helix volume, as shown below, chordless regions exist in which no images can thus be reconstructed by use of the chord-based algorithms. In this work, based upon Pack-Noo's formula, a shift-invariant filtered backprojection (FBP) algorithm is derived for exact image reconstruction within the reverse helix volume, including the chordless region. Numerical studies have also been conducted to demonstrate the chordless region in a reverse helix volume and to validate the FBP algorithm for image reconstruction within the chordless region. Results of the numerical studies confirm that the FBP algorithm can exactly reconstruct an image within the entire reverse helix volume, including the chordless region. It is relatively straightforward to extend the FBP algorithm to reconstruct images for general trajectories, including reverse helical trajectories with variable pitch, tilted axis, and/or additional segments between turns.

Mesh:

Year:  2008        PMID: 18697525      PMCID: PMC2673556          DOI: 10.1118/1.2936219

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  14 in total

1.  Cone-beam computed tomography with a flat-panel imager: initial performance characterization.

Authors:  D A Jaffray; J H Siewerdsen
Journal:  Med Phys       Date:  2000-06       Impact factor: 4.071

2.  Optimization of x-ray imaging geometry (with specific application to flat-panel cone-beam computed tomography).

Authors:  J H Siewerdsen; D A Jaffray
Journal:  Med Phys       Date:  2000-08       Impact factor: 4.071

3.  A performance comparison of flat-panel imager-based MV and kV cone-beam CT.

Authors:  B A Groh; J H Siewerdsen; D G Drake; J W Wong; D A Jaffray
Journal:  Med Phys       Date:  2002-06       Impact factor: 4.071

4.  Exact helical reconstruction using native cone-beam geometries.

Authors:  Frédéric Noo; Jed Pack; Dominic Heuscher
Journal:  Phys Med Biol       Date:  2003-12-07       Impact factor: 3.609

5.  Cone-beam reconstruction using the backprojection of locally filtered projections.

Authors:  Jed D Pack; Frédéric Noo; Rolf Clackdoyle
Journal:  IEEE Trans Med Imaging       Date:  2005-01       Impact factor: 10.048

6.  Theory and algorithms for image reconstruction on chords and within regions of interest.

Authors:  Yu Zou; Xiaochuan Pan; Emil Y Sidky
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2005-11       Impact factor: 2.129

7.  Image reconstruction for the circle-and-arc trajectory.

Authors:  Alexander Katsevich
Journal:  Phys Med Biol       Date:  2005-04-27       Impact factor: 3.609

8.  A combination-weighted Feldkamp-based reconstruction algorithm for cone-beam CT.

Authors:  Shinichiro Mori; Masahiro Endo; Shuhei Komatsu; Susumu Kandatsu; Tomoyasu Yashiro; Masayuki Baba
Journal:  Phys Med Biol       Date:  2006-08-02       Impact factor: 3.609

9.  Fan-beam and cone-beam image reconstruction via filtering the backprojection image of differentiated projection data.

Authors:  Tingliang Zhuang; Shuai Leng; Brian E Nett; Guang-Hong Chen
Journal:  Phys Med Biol       Date:  2004-12-21       Impact factor: 3.609

10.  Analysis of Cone-Beam Artifacts in off-Centered Circular CT for Four Reconstruction Methods.

Authors:  S Valton; F Peyrin; D Sappey-Marinier
Journal:  Int J Biomed Imaging       Date:  2006-08-13
View more
  8 in total

1.  Compressed sensing based cone-beam computed tomography reconstruction with a first-order method.

Authors:  Kihwan Choi; Jing Wang; Lei Zhu; Tae-Suk Suh; Stephen Boyd; Lei Xing
Journal:  Med Phys       Date:  2010-09       Impact factor: 4.071

2.  Determination of exact reconstruction regions in composite-circling cone-beam tomography.

Authors:  Lena Ye; Hengyong Yu; Ge Wang
Journal:  Med Phys       Date:  2009-08       Impact factor: 4.071

3.  Image reconstruction in reduced circular sinusoidal cone-beam CT.

Authors:  Dan Xia; Seungryong Cho; Xiaochuan Pan
Journal:  J Xray Sci Technol       Date:  2009       Impact factor: 1.535

4.  A BPF-FBP tandem algorithm for image reconstruction in reverse helical cone-beam CT.

Authors:  Seungryong Cho; Dan Xia; Charles A Pellizzari; Xiaochuan Pan
Journal:  Med Phys       Date:  2010-01       Impact factor: 4.071

5.  Reconstructing cone-beam CT with spatially varying qualities for adaptive radiotherapy: a proof-of-principle study.

Authors:  Wenting Lu; Hao Yan; Xuejun Gu; Zhen Tian; Ouyang Luo; Liu Yang; Linghong Zhou; Laura Cervino; Jing Wang; Steve Jiang; Xun Jia
Journal:  Phys Med Biol       Date:  2014-09-26       Impact factor: 3.609

6.  Why do commercial CT scanners still employ traditional, filtered back-projection for image reconstruction?

Authors:  Xiaochuan Pan; Emil Y Sidky; Michael Vannier
Journal:  Inverse Probl       Date:  2009-01-01       Impact factor: 2.407

7.  Line plus arc source trajectories and their R-line coverage for long-object cone-beam imaging with a C-arm system.

Authors:  Zhicong Yu; Adam Wunderlich; Frank Dennerlein; Günter Lauritsch; Frédéric Noo
Journal:  Phys Med Biol       Date:  2011-05-23       Impact factor: 3.609

8.  Tensor framelet based iterative image reconstruction algorithm for low-dose multislice helical CT.

Authors:  Haewon Nam; Minghao Guo; Hengyong Yu; Keumsil Lee; Ruijiang Li; Bin Han; Lei Xing; Rena Lee; Hao Gao
Journal:  PLoS One       Date:  2019-01-11       Impact factor: 3.240

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.