Effect of Training Data Differences on Accuracy in MR Image …

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2024
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  • DOI 10.6009/jjrt.2024-1487
  • PMID https://pubmed.ncbi.nlm.nih.gov/39477465
  • OpenAlex ID W4403818439
  • Type Article
  • Language EN
  • Published 01 Jan 2024
  • Volume 80 (12)
  • Pages 1277–1287
  • Source Japanese Journal of Radiological Technol…
  • Publisher Japan Radiological Society
  • Countries 1
  • Institutions 4
  • Added 10 Oct 2025
  • Updated 14 Oct 2026
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Effect of Training Data Differences on Accuracy in MR Image Generation Using Pix2pix

Article 2024 EN Bronze

PURPOSE: Using a magnetic resonance (MR) image generation technique with deep learning, we elucidated whether changing the training data patterns affected image generation accuracy. METHODS: The pix2pix training model generated T1-weighted images from T2-weighted images or FLAIR images. Head MR images obtained at our hospital were used in this study. We prepared 300 cases for each model and four t…

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7 authors
#AuthorInstitutionsORCID
1 Masaru Tsukano University of Shimane (JP) Shimane University Hospital (JP)
2 Yasushi Yamämoto Shimane University (JP) University of Shimane (JP)
3 Masato Shirai Shimane University (JP) University of Shimane (JP)
4 Masahiro Takamura Fujita Health University (JP)
5 Kazuaki Matsuo University of Shimane (JP) Shimane University Hospital (JP) —
6 Yoshinori Miyahara University of Shimane (JP) Shimane University Hospital (JP) —
7 Yasushi Kaji Shimane University (JP) University of Shimane (JP)

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