Image synthesis and superresolution in medical imaging

Jerry L. Prince; Aaron Carass; Can Zhao; Blake E. Dewey; Snehashis Roy; Dzung L. Pham

doi:10.1016/B978-0-12-816176-0.00006-5

Image synthesis and superresolution in medical imaging

Jerry L. Prince, Aaron Carass, Can Zhao, Blake E. Dewey, Snehashis Roy, Dzung L. Pham

Radiology and Bioengineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

8 Scopus citations

Abstract

Image synthesis and superresolution have a long history of research and use in medical imaging. Recently, with the emergence of powerful machine learning methods, both processes have risen to new levels of capability. This chapter presents some historical and technical background in each of these areas and describes some of the new approaches. Magnetic resonance imaging is the primary modality considered.

Original language	English
Title of host publication	Handbook of Medical Image Computing and Computer Assisted Intervention
Publisher	Elsevier
Pages	1-24
Number of pages	24
ISBN (Electronic)	9780128161760
DOIs	https://doi.org/10.1016/B978-0-12-816176-0.00006-5
State	Published - 1 Jan 2019

Keywords

Image analysis
Image enhancement
Image resolution
Image superresolution
Image synthesis
Magnetic resonance imaging

Access to Document

10.1016/B978-0-12-816176-0.00006-5

Cite this

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