Frangi, AF orcid.org/0000-0002-2675-528X, Tsaftaris, SA and Prince, JL (2018) Simulation and Synthesis in Medical Imaging. IEEE Transactions on Medical Imaging, 37 (3). pp. 673-679. ISSN 0278-0062
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.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2018, IEEE. This is an author produced version of a paper published in IEEE Transactions on Medical Imaging. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Special issues and sections, Simulation, Data models, Image generation, Phantoms, Magnetic resonance imaging, Physiology, Computational modeling; Data-driven, hypothesis-driven, machine learning, modeling |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 31 Aug 2018 10:32 |
Last Modified: | 31 Aug 2018 10:32 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/TMI.2018.2800298 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:135015 |