Literature DB >> 17089830

Practical cone-beam lambda tomography.

Hengyong Yu1, Yangbo Ye, Ge Wang.   

Abstract

As a potentially important technology for medical x-ray computed tomography (CT), lambda tomography (LT) is to reconstruct a gradient-like image only from local projection data. Based on our recently derived exact fan-beam LT formula, [H. Y. Gu and G. Wang, Int. J. Biomed. Imaging 2006(1), 1-9 (2006)] here we propose a practical cone-beam LT algorithm for LT reconstruction from local data collected along an arbitrary smooth three-dimensional curve. A key step in our algorithm is to determine an appropriate vector perpendicular to the line connecting the x-ray source and an image point. The algorithm is implemented assuming an equispatial planar detector and a nonstandard spiral trajectory. The numerical simulation results demonstrate the merits of our method.

Mesh:

Year:  2006        PMID: 17089830     DOI: 10.1118/1.2348767

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


  4 in total

1.  A General Scheme for Velocity Tomography.

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

2.  Multi-resolution statistical image reconstruction for mitigation of truncation effects: application to cone-beam CT of the head.

Authors:  Hao Dang; J Webster Stayman; Alejandro Sisniega; Wojciech Zbijewski; Jennifer Xu; Xiaohui Wang; David H Foos; Nafi Aygun; Vassilis E Koliatsos; Jeffrey H Siewerdsen
Journal:  Phys Med Biol       Date:  2016-12-29       Impact factor: 3.609

3.  High Order Total Variation Minimization for Interior Tomography.

Authors:  Jiansheng Yang; Hengyong Yu; Ming Jiang; Ge Wang
Journal:  Inverse Probl       Date:  2010-01-01       Impact factor: 2.407

Review 4.  The meaning of interior tomography.

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

  4 in total

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