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Anisotropy correction of medical image data employing patch similarity

 
: Keyhani, Mohammad Hossein; El Hakimi, Wissam; Wesarg, Stefan

:

Rodrigues, P.P. (Ed.) ; Institute of Electrical and Electronics Engineers -IEEE-; IEEE Computer Society:
CBMS 2013, 26th IEEE International Symposium on Computer-Based Medical Systems. Proceedings : 20-22 June 2013, Porto, Portugal
New York, NY: IEEE, 2013
ISBN: 978-1-4799-1053-3
pp.385-388
International Symposium on Computer-Based Medical Systems (CBMS) <26, 2013, Porto>
English
Conference Paper
Fraunhofer IGD ()
super resolution; reconstruction; anisotropy; image quality; Forschungsgruppe Medical Computing (MECO)

Abstract
CT or MR image data is typically anisotropic. But, it is desirable to base image processing as well as diagnosis on isotropic image data. In this work, we propose a novel method for correcting anisotropy of 3D image data sets by employing the recurrence of small 2D patches across different scales. We base our method on previous work dealing with super-resolution of single natural 2D images, show the applicability of that approach also to medical images, and extend it to a 3D solution for anisotropy correction. Our results show that the image quality can be significantly improved. For clinical CT and MRI data, we present feedback from the clinical end user.

: http://publica.fraunhofer.de/documents/N-266848.html