Literature DB >> 27423826

A novel design of ultrafast micro-CT system based on carbon nanotube: A feasibility study in phantom.

Zhicheng Zhang1, Shaode Yu1, Xiaokun Liang2, Yanchun Zhu3, Yaoqin Xie4.   

Abstract

Artifacts induced by respiratory motion during routine diagnosis severely degrades the image quality. The increase of scanning speed plays an important role to avoid motion artifacts. Limited to the mechanical structure of conventional CT, the increase of gantry rotational speed is unsustainable and a more feasible way is to increase the number of X-ray sources and detectors like the dual-source CT. This paper focuses on high-speed scanning CT and proposes a novel ultrafast micro-CT (UMCT) system based on carbon nanotube (CNT). At each exposure position, all of the X-ray sources are fast activated by turns and the flat-panel detectors collect the corresponding projection data. Then, the gantry will be contrarotated 40° to prepare for the next exposure until the rotation covers full 360°. Because each exposure is very fast, the organ motions of in vivo human body can be greatly reduced. This paper introduces the UMCT system design, image reconstruction algorithm and experimental results. Simulation experiment was also carried out on UMCT system. The result validated the feasibility of the UMCT system.
Copyright © 2016 Associazione Italiana di Fisica Medica. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Carbon nanotube; Motion artifact; Temporal resolution; Ultrafast micro-CT

Mesh:

Substances:

Year:  2016        PMID: 27423826     DOI: 10.1016/j.ejmp.2016.06.016

Source DB:  PubMed          Journal:  Phys Med        ISSN: 1120-1797            Impact factor:   2.685


  2 in total

Review 1.  Systematic imaging in medicine: a comprehensive review.

Authors:  Kai Zhang; Yujie Sun; Shuang Wu; Min Zhou; Xiaohui Zhang; Rui Zhou; Tingting Zhang; Yuanxue Gao; Ting Chen; Yao Chen; Xin Yao; Yasuyoshi Watanabe; Mei Tian; Hong Zhang
Journal:  Eur J Nucl Med Mol Imaging       Date:  2020-11-19       Impact factor: 9.236

2.  A consistency evaluation of signal-to-noise ratio in the quality assessment of human brain magnetic resonance images.

Authors:  Shaode Yu; Guangzhe Dai; Zhaoyang Wang; Leida Li; Xinhua Wei; Yaoqin Xie
Journal:  BMC Med Imaging       Date:  2018-05-16       Impact factor: 1.930

  2 in total

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