Work

Simulation and Synthesis in Medical Imaging

Year: 2018

Type: editorial

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.

Source: IEEE Transactions on Medical Imaging

DOI: 10.1109/tmi.2018.2800298

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

Institutions: University of Sheffield, University of Edinburgh, Johns Hopkins University

Language: English

Topic: Medical Imaging Techniques and Applications

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funders: Eidgenössische Technische Hochschule Zürich, Engineering and Physical Sciences Research Council, National Institute of Biomedical Imaging and Bioengineering