Simulation and Synthesis in Medical Imaging

Alejandro F. Frangi, Sotirios A. Tsaftaris, Jerry L. Prince

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish (US)
Pages (from-to)673-679
Number of pages7
JournalIEEE transactions on medical imaging
Volume37
Issue number3
DOIs
StatePublished - Mar 2018

Keywords

  • Data-driven
  • hypothesis-driven
  • machine learning
  • modeling

ASJC Scopus subject areas

  • Software
  • Radiological and Ultrasound Technology
  • Computer Science Applications
  • Electrical and Electronic Engineering

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