Literature DB >> 28594438

Quest for the ultimate cardiac CT scanner.

Paul FitzGerald1, Peter Edic1, Hewei Gao2, Yannan Jin1, Jiao Wang3, Ge Wang4, Bruno De Man1.   

Abstract

PURPOSE: To quantitatively evaluate and compare six proposed system architectures for cardiac CT scanning.
METHODS: Starting from the clinical requirements for cardiac CT, we defined six dedicated cardiac CT architectures. We selected these architectures based on a previous screening study and defined them in sufficient detail to comprehensively analyze their cost and performance. We developed rigorous comparative evaluation methods for the most important aspects of performance and cost, and we applied these evaluation criteria to the defined cardiac CT architectures.
RESULTS: We found that CT system architectures based on the third-generation geometry provide nearly linear performance improvement versus the increased cost of additional beam lines (i.e., source-detector pairs), although similar performance improvement could be achieved with advanced motion-correction algorithms. The third-generation architectures outperform even the most promising of the proposed architectures that deviate substantially from the traditional CT system architectures.
CONCLUSION: This work confirms the validity of the current trend in commercial CT scanner design. However, we anticipate that over time, CT hardware and software technologies will evolve, the relative importance of the performance criteria will change, the relative costs of components will vary, some of the remaining challenges will be addressed, and perhaps new candidate architectures will be identified; therefore, the conclusion of a comparative analysis like this may change. The evaluation methods that we used can provide a framework for other researchers to analyze their own proposed CT architectures.
© 2017 American Association of Physicists in Medicine.

Entities:  

Keywords:  cardiac; computed tomography; system architecture

Mesh:

Year:  2017        PMID: 28594438      PMCID: PMC5751440          DOI: 10.1002/mp.12397

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


  10 in total

1.  Cone-beam computed tomography with a flat-panel imager: magnitude and effects of x-ray scatter.

Authors:  J H Siewerdsen; D A Jaffray
Journal:  Med Phys       Date:  2001-02       Impact factor: 4.071

2.  Axial Cone-Beam Reconstruction by Weighted BPF/DBPF and Orthogonal Butterfly Filtering.

Authors:  Shaojie Tang; Xiangyang Tang
Journal:  IEEE Trans Biomed Eng       Date:  2015-12-03       Impact factor: 4.538

3.  X-ray scattering in single- and dual-source CT.

Authors:  Klaus J Engel; Christoph Herrmann; Günter Zeitler
Journal:  Med Phys       Date:  2008-01       Impact factor: 4.071

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.  Temporal resolution improvement using PICCS in MDCT cardiac imaging.

Authors:  Guang-Hong Chen; Jie Tang; Jiang Hsieh
Journal:  Med Phys       Date:  2009-06       Impact factor: 4.071

6.  Statistical interior tomography.

Authors:  Qiong Xu; Xuanqin Mou; Ge Wang; Jered Sieren; Eric A Hoffman; Hengyong Yu
Journal:  IEEE Trans Med Imaging       Date:  2011-01-13       Impact factor: 10.048

7.  Cardiac CT: A system architecture study.

Authors:  Paul FitzGerald; James Bennett; Jeffrey Carr; Peter M Edic; Daniel Entrikin; Hewei Gao; Maria Iatrou; Yannan Jin; Baodong Liu; Ge Wang; Jiao Wang; Zhye Yin; Hengyong Yu; Kai Zeng; Bruno De Man
Journal:  J Xray Sci Technol       Date:  2016       Impact factor: 1.535

8.  Nonrigid registration-based coronary artery motion correction for cardiac computed tomography.

Authors:  Roshni Bhagalia; Jed D Pack; James V Miller; Maria Iatrou
Journal:  Med Phys       Date:  2012-07       Impact factor: 4.071

9.  Exact interior reconstruction from truncated limited-angle projection data.

Authors:  Yangbo Ye; Hengyong Yu; Ge Wang
Journal:  Int J Biomed Imaging       Date:  2008

Review 10.  The meaning of interior tomography.

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

  10 in total
  2 in total

1.  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

2.  Design and Simulation Study of a CNT-Based Multisource Cubical CT System for Dynamic Objects.

Authors:  Changcheng Gong; Li Zeng; Chengxiang Wang; Lei Ran
Journal:  Scanning       Date:  2018-08-30       Impact factor: 1.932

  2 in total

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