Interactive local super-resolution reconstruction of whole-body MRI mouse data: A pilot study with applications to bone and kidney metastases

Journal article (2014)

Authors

O Dzyubachyk External organisation

A Khmelinskii External organisation

E Meijering External organisation

B.P.F. Lelieveldt Pattern Recognition and Bioinformatics -

Boudewijn P.F. Lelieveldt Pattern Recognition and Bioinformatics -

Boudewijn Lelieveldt Pattern Recognition and Bioinformatics -

E Plenge External organisation

P. Kok Computer Graphics and Visualisation -

TJA Snoeks External organisation

D. H.J. Poot ImPhys/Quantitative Imaging

D.H.J. Poot ImPhys/Quantitative Imaging

Dirk H.J. Poot ImPhys/Quantitative Imaging

Dirk H. Poot ImPhys/Quantitative Imaging

Dirk H J Poot ImPhys/Quantitative Imaging

D. H J Poot ImPhys/Quantitative Imaging

Dirk Poot ImPhys/Quantitative Imaging

CWGM Lowik External organisation

C.P. Botha Computer Graphics and Visualisation -

WJ Niessen ImPhys/Quantitative Imaging

Wiro Niessen ImPhys/Quantitative Imaging

W.J. Niessen ImPhys/Quantitative Imaging

W. J. Niessen ImPhys/Quantitative Imaging

Wiro J.N. Niessen ImPhys/Quantitative Imaging

Wiro J. Niessen ImPhys/Quantitative Imaging

Louise van der Weerd External organisation

Research Group

Computer Graphics and Visualisation () (TU Delft)

To reference this document use:

http://resolver.tudelft.nl/uuid:0bca2174-4491-4538-b6ba-3b0ee6762ba6

More Info

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Published Date

2014

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Intelligent Systems

Research Group

Computer Graphics and Visualisation