Current and Future Post-Processing and Reconstruction Methods for Improved Image Quality in Coronary Computed Tomographic Angiography

被引:0
|
作者
Ryo Nakazato
Damini Dey
Troy M. LaBounty
机构
[1] Cedars-Sinai Medical Center,Cedars
[2] Cedars-Sinai Medical Center,Sinai Heart Institute and Department of Imaging
[3] Cedars-Sinai Medical Center,Departments of Imaging, Department of Biomedical Sciences, Biomedical Imaging Research Institute
关键词
Iterative reconstruction; Cardiac computed tomography; Coronary artery disease; Image quality;
D O I
10.1007/s12410-012-9151-7
中图分类号
学科分类号
摘要
While coronary computed tomographic angiography (CCTA) has high diagnostic performance to identify and exclude obstructive coronary artery disease, it is susceptible to false-positive results and non-interpretable studies, and requires the use of ionizing radiation. New methods of image reconstruction and post-processing have the potential to significantly improve image quality, reduce the number of non-interpretable studies, and improve the diagnostic accuracy of CCTA. In this manuscript, we will review current and novel technologies for image reconstruction and post-processing that may improve the image quality of CCTA.
引用
收藏
页码:360 / 366
页数:6
相关论文
共 50 条
  • [1] Current and Future Post-Processing and Reconstruction Methods for Improved Image Quality in Coronary Computed Tomographic Angiography
    Nakazato, Ryo
    Dey, Damini
    LaBounty, Troy M.
    CURRENT CARDIOVASCULAR IMAGING REPORTS, 2012, 5 (05) : 360 - 366
  • [2] Coronary Angiography Upgraded by Imaging Post-Processing: Present and Future Directions
    Caullery, Benoit
    Riou, Laurent
    Barone-Rochette, Gilles
    DIAGNOSTICS, 2023, 13 (11)
  • [3] Image quality on dual-source computed-tomographic coronary angiography
    Rixe, Johannes
    Rolf, Andreas
    Conradi, Guido
    Elsaesser, Albrecht
    Moellmann, Helge
    Nef, Holger M.
    Bachmann, Georg
    Hamm, Christian W.
    Dill, Thorsten
    EUROPEAN RADIOLOGY, 2008, 18 (09) : 1857 - 1862
  • [4] Image quality on dual-source computed-tomographic coronary angiography
    Johannes Rixe
    Andreas Rolf
    Guido Conradi
    Albrecht Elsaesser
    Helge Moellmann
    Holger M. Nef
    Georg Bachmann
    Christian W. Hamm
    Thorsten Dill
    European Radiology, 2008, 18 : 1857 - 1862
  • [5] Post-processing Techniques for Aortic Computed Tomography Angiography
    Liul, Jian Hua
    Sun, Yong
    Kang, Zhi Chen
    Tian, Xin Hua
    Li, Xin
    Yuan, Qing Hai
    Zhang, Yan
    2011 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND NETWORK TECHNOLOGY (ICCSNT), VOLS 1-4, 2012, : 1186 - 1189
  • [6] Coronary Computed Tomographic Angiography in the Cardiac Catheterization Laboratory: Current Applications and Future Developments
    Wink, Onno
    Hecht, Harvey S.
    Ruijters, Daniel
    CARDIOLOGY CLINICS, 2009, 27 (03) : 513 - +
  • [7] Application of improved watershed image segmentation algorithm in post-processing of capacitive tomographic images
    Fan, Huiying
    PROCEEDINGS OF 2020 IEEE INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND INFORMATION SYSTEMS (ICAIIS), 2020, : 485 - 489
  • [8] 256-Slice coronary computed tomographic angiography in patients with atrial fibrillation: optimal reconstruction phase and image quality
    Oda, Seitaro
    Honda, Keiichi
    Yoshimura, Akira
    Katahira, Kazuhiro
    Noda, Katsuo
    Oshima, Shuichi
    Yuki, Hideaki
    Kidoh, Masafumi
    Utsunomiya, Daisuke
    Nakaura, Takeshi
    Namimoto, Tomohiro
    Yamashita, Yasuyuki
    EUROPEAN RADIOLOGY, 2016, 26 (01) : 55 - 63
  • [9] 256-Slice coronary computed tomographic angiography in patients with atrial fibrillation: optimal reconstruction phase and image quality
    Seitaro Oda
    Keiichi Honda
    Akira Yoshimura
    Kazuhiro Katahira
    Katsuo Noda
    Shuichi Oshima
    Hideaki Yuki
    Masafumi Kidoh
    Daisuke Utsunomiya
    Takeshi Nakaura
    Tomohiro Namimoto
    Yasuyuki Yamashita
    European Radiology, 2016, 26 : 55 - 63
  • [10] Automated estimation of image quality for coronary computed tomographic angiography using machine learning
    Nakanishi, Rine
    Sankaran, Sethuraman
    Grady, Leo
    Malpeso, Jenifer
    Yousfi, Razik
    Osawa, Kazuhiro
    Ceponiene, Indre
    Nazarat, Negin
    Rahmani, Sina
    Kissel, Kendall
    Jayawardena, Eranthi
    Dailing, Christopher
    Zarins, Christopher
    Koo, Bon-Kwon
    Min, James K.
    Taylor, Charles A.
    Budoff, Matthew J.
    EUROPEAN RADIOLOGY, 2018, 28 (09) : 4018 - 4026