Literature DB >> 17327647

Approximate and exact cone-beam reconstruction with standard and non-standard spiral scanning.

Ge Wang1, Yangbo Ye, Hengyong Yu.   

Abstract

The long object problem is practically important and theoretically challenging. To solve the long object problem, spiral cone-beam CT was first proposed in 1991, and has been extensively studied since then. As a main feature of the next generation medical CT, spiral cone-beam CT has been greatly improved over the past several years, especially in terms of exact image reconstruction methods. Now, it is well established that volumetric images can be exactly and efficiently reconstructed from longitudinally truncated data collected along a rather general scanning trajectory. Here we present an overview of some key results in this area.

Mesh:

Year:  2007        PMID: 17327647     DOI: 10.1088/0031-9155/52/6/R01

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  12 in total

1.  Gel'fand-Graev's reconstruction formula in the 3D real space.

Authors:  Yangbo Ye; Hengyong Yu; Ge Wang
Journal:  Med Phys       Date:  2011-07       Impact factor: 4.071

2.  A General Scheme for Velocity Tomography.

Authors:  Hengyong Yu; Ge Wang
Journal:  Signal Processing       Date:  2008-05       Impact factor: 4.662

3.  Exact and approximate cone-beam reconstruction algorithms for C-arm based cone-beam CT using a two-concentric-arc source trajectory.

Authors:  Tingliang Zhuang; Joseph Zambelli; Brian Nett; Shuai Leng; Guang-Hong Chen
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2008

4.  Completeness map evaluation demonstrated with candidate next-generation cardiac CT architectures.

Authors:  Baodong Liu; James Bennett; Ge Wang; Bruno De Man; Kai Zeng; Zhye Yin; Paul Fitzgerald; Hengyong Yu
Journal:  Med Phys       Date:  2012-05       Impact factor: 4.071

5.  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

6.  LEARN: Learned Experts' Assessment-Based Reconstruction Network for Sparse-Data CT.

Authors:  Hu Chen; Yi Zhang; Yunjin Chen; Junfeng Zhang; Weihua Zhang; Huaiqiang Sun; Yang Lv; Peixi Liao; Jiliu Zhou; Ge Wang
Journal:  IEEE Trans Med Imaging       Date:  2018-06       Impact factor: 10.048

7.  SART-type image reconstruction from a limited number of projections with the sparsity constraint.

Authors:  Hengyong Yu; Ge Wang
Journal:  Int J Biomed Imaging       Date:  2010-04-26

8.  Fast exact/quasi-exact FBP algorithms for triple-source helical cone-beam CT.

Authors:  Yang Lu; Alexander Katsevich; Jun Zhao; Hengyong Yu; Ge Wang
Journal:  IEEE Trans Med Imaging       Date:  2009-11-17       Impact factor: 10.048

Review 9.  The meaning of interior tomography.

Authors:  Ge Wang; Hengyong Yu
Journal:  Phys Med Biol       Date:  2013-08-02       Impact factor: 3.609

10.  Opportunities for Fluorochlorozirconate and Other Glass-Ceramic Detectors in Medical Imaging Devices.

Authors:  Jacqueline A Johnson; Russell L Leonard; A R Lubinsky; Stefan Schweizer
Journal:  J Biomed Technol Res       Date:  2015-06-25
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