Optimization methods for 3D and 4D space-time reconstruction in imaging

Wolfgang Heidrich

Optimization methods for 3D and 4D space-time reconstruction in imaging

^*Corresponding author for this work

Research output: Contribution to conference › Paper › peer-review

Abstract

4D inverse problems in imaging are historically solved independently per time step. Recent advances in joint 4D reconstruction allow for significantly improved results especially when the 3D problem is very ill-posed. The methods are broadly applicable to tomography, fluid imaging, and many other imaging problems.

Original language	English (US)
State	Published - 2020
Event	Computational Optical Sensing and Imaging, COSI 2020 - Part of Imaging and Applied Optics Congress 2020 - Virtual, Online, United States Duration: Jun 22 2020 → Jun 26 2020

Conference

Conference	Computational Optical Sensing and Imaging, COSI 2020 - Part of Imaging and Applied Optics Congress 2020
Country/Territory	United States
City	Virtual, Online
Period	06/22/20 → 06/26/20

Bibliographical note

Publisher Copyright:
© 2020 The Author(s)

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Mechanics of Materials

Cite this

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title = "Optimization methods for 3D and 4D space-time reconstruction in imaging",

abstract = "4D inverse problems in imaging are historically solved independently per time step. Recent advances in joint 4D reconstruction allow for significantly improved results especially when the 3D problem is very ill-posed. The methods are broadly applicable to tomography, fluid imaging, and many other imaging problems.",

author = "Wolfgang Heidrich",

note = "Publisher Copyright: {\textcopyright} 2020 The Author(s); Computational Optical Sensing and Imaging, COSI 2020 - Part of Imaging and Applied Optics Congress 2020 ; Conference date: 22-06-2020 Through 26-06-2020",

year = "2020",

language = "English (US)",

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AB - 4D inverse problems in imaging are historically solved independently per time step. Recent advances in joint 4D reconstruction allow for significantly improved results especially when the 3D problem is very ill-posed. The methods are broadly applicable to tomography, fluid imaging, and many other imaging problems.

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M3 - Paper

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T2 - Computational Optical Sensing and Imaging, COSI 2020 - Part of Imaging and Applied Optics Congress 2020

Y2 - 22 June 2020 through 26 June 2020

ER -

Optimization methods for 3D and 4D space-time reconstruction in imaging

Abstract

Conference

Bibliographical note

ASJC Scopus subject areas

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Cite this