Impact of knowledge-based iterative model reconstruction on myocardial late iodine enhancement in computed tomography and comparison with cardiac magnetic resonance

  • Yuki Tanabe
  • Teruhito Kido
  • Akira Kurata
  • Naoki Fukuyama
  • Takahiro Yokoi
  • Tomoyuki Kido
  • Teruyoshi Uetani
  • Mani Vembar
  • Amar Dhanantwari
  • Shinichi Tokuyasu
  • Natsumi Yamashita
  • Teruhito Mochizuki
Original Paper


We evaluated the image quality and diagnostic performance of late iodine enhancement computed tomography (LIE-CT) with knowledge-based iterative model reconstruction (IMR) for the detection of myocardial infarction (MI) in comparison with late gadolinium enhancement magnetic resonance imaging (LGE-MRI). The study investigated 35 patients who underwent a comprehensive cardiac CT protocol and LGE-MRI for the assessment of coronary artery disease. The CT protocol consisted of stress dynamic myocardial CT perfusion, coronary CT angiography (CTA) and LIE-CT using 256-slice CT. LIE-CT scans were acquired 5 min after CTA without additional contrast medium and reconstructed with filtered back projection (FBP), a hybrid iterative reconstruction (HIR), and IMR. The signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were assessed. Sensitivity and specificity of LIE-CT for detecting MI were assessed according to the 16-segment model. Image quality scores, and diagnostic performance were compared among LIE-CT with FBP, HIR and IMR. Among the 35 patients, 139 of 560 segments showed MI in LGE-MRI. On LIE-CT with FBP, HIR, and IMR, the median SNRs were 2.1, 2.9, and 6.1; and the median CNRs were 1.7, 2.2, and 4.7, respectively. Sensitivity and specificity were 56 and 93% for FBP, 62 and 91% for HIR, and 80 and 91% for IMR. LIE-CT with IMR showed the highest image quality and sensitivity (p < 0.05). The use of IMR enables significant improvement of image quality and diagnostic performance of LIE-CT for detecting MI in comparison with FBP and HIR.


Computed tomography Myocardial infarction Late iodine enhancement Iterative reconstruction Late gadolinium enhancement 


Compliance with ethical standards

Conflict of interest

Mani Vembar is an employee of Philips Healthcare. Amar Dhanantwari is an employee of Philips Healthcare. Shinichi Tokuyasu is an employee of Philips Electronics Japan. All the other authors declare that they have no conflict of interest.

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. For this type of study formal consent is not required.

Informed consent

Informed consent was obtained from all individual participants included in the study.


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Copyright information

© Springer Science+Business Media Dordrecht 2017

Authors and Affiliations

  • Yuki Tanabe
    • 1
  • Teruhito Kido
    • 1
  • Akira Kurata
    • 1
  • Naoki Fukuyama
    • 1
  • Takahiro Yokoi
    • 1
  • Tomoyuki Kido
    • 1
  • Teruyoshi Uetani
    • 1
  • Mani Vembar
    • 2
  • Amar Dhanantwari
    • 2
  • Shinichi Tokuyasu
    • 3
  • Natsumi Yamashita
    • 4
  • Teruhito Mochizuki
    • 1
  1. 1.Department of RadiologyEhime University Graduate School of MedicineToonJapan
  2. 2.CT Clinical SciencePhilips HealthcareClevelandUSA
  3. 3.CT Clinical ScientistPhilips Electronics JapanTokyoJapan
  4. 4.Department of Clinical Biostatistics, Section of Cancer Prevention and Epidemiology, Clinical Research CenterNational Hospital Organization Shikoku Cancer CenterMatsuyamaJapan

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