4.7 Article

Simulation and Synthesis in Medical Imaging

Journal

IEEE TRANSACTIONS ON MEDICAL IMAGING
Volume 37, Issue 3, Pages 673-679

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TMI.2018.2800298

Keywords

Data-driven; hypothesis-driven; machine learning; modeling

Funding

  1. EPSRC [EP/P022928/1] Funding Source: UKRI
  2. NIBIB NIH HHS [R01 EB017743] Funding Source: Medline

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This editorial introduces the Special Issue on Simulation and Synthesis in Medical Imaging. In this editorial, we define so-far ambiguous terms of simulation and synthesis in medical imaging. We also briefly discuss the synergistic importance of mechanistic (hypothesis-driven) and phenomenological (data-driven) models of medical image generation. Finally, we introduce the twelve papers published in this issue covering both mechanistic (5) and phenomenological (7) medical image generation. This rich selection of papers covers applications in cardiology, retinopathy, histopathology, neurosciences, and oncology. It also covers all mainstream diagnostic medical imaging modalities. We conclude the editorial with a personal view on the field and highlight some existing challenges and future research opportunities.

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