Impact of Knowledge-Based Iterative Model Reconstruction on Image Quality and Hemodynamic Parameters in Dynamic Myocardial Computed Tomography Perfusion Using Low-Tube-Voltage Scan: A Feasibility Study.

Journal: Journal of computer assisted tomography
PMID: 31453979

Abstract

OBJECTIVE: Knowledge-based iterative model reconstruction (IMR) yields diagnostically acceptable image quality in low-dose static computed tomography (CT). We aimed to evaluate the feasibility of IMR in dynamic myocardial computed tomography perfusion (CTP).

Authors

  • Yuki Tanabe
    Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan. yuki.tanabe.0225@gmail.com.
  • Teruhito Kido
    Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan.
  • Akira Kurata
    Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan.
  • Takanori Kouchi
    From the Departments of Radiology.
  • Takaaki Hosokawa
    From the Departments of Radiology.
  • Hikaru Nishiyama
    From the Departments of Radiology.
  • Naoto Kawaguchi
    Department of Radiology, Ehime University Graduate School of Medicine.
  • Tomoyuki Kido
    Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan.
  • Teruyoshi Uetani
    Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan.
  • Teruhito Mochizuki
    Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan.

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