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Modified human contrast sensitivity function based phase mask for susceptibility-weighted imaging

Authors :
Viktor Vegh
Wei-Hsin Wang
Zhengyi Yang
David C. Reutens
G. T. Nguyen
Source :
NeuroImage: Clinical, Vol 4, Iss C, Pp 765-778 (2014), NeuroImage : Clinical
Publication Year :
2014
Publisher :
Elsevier BV, 2014.

Abstract

The aim of the work is to increase the visual information in magnetic resonance imaging based susceptibility weighted images. Our approach is to amplify spatial frequency information of the phase mask used to increase susceptibility weighting using a modified version of the human contrast sensitivity function. Thereby, we propose a modified version of the human contrast sensitivity function for use in phase mask creation. Comparison with conventional susceptibility-weighted imaging was undertaken on a qualitative basis and quantitatively with a number of established image quality metrics on ex vivo mouse brain magnetic resonance images obtained at 16.4 T at various echo times. Four experts also compared the quality of in vivo 1.5 and 3 T human brain magnetic resonance images generated with traditional susceptibility weighted imaging and with the new method. We found that parameters of the modified human contrast sensitivity function can be chosen to improve delineation of structural detail of mouse and human brains. Information contained in susceptibility-weighted images generated using the modified human contrast sensitivity function based phase mask corresponds to that in the conventional method, however the visual range over which it is depicted has improved visual perception. Hence, qualitative evaluation of information contained in susceptibility-weighted images can be improved by amplifying spatial frequencies where human contrast sensitivity is reduced.<br />Highlights • Perception of image content is defined by the human contrast sensitivity function. • Human contrast sensitivity function enhanced susceptibility weighted images. • Marked increase in spatial frequency perception of brain images was achieved. • The approach can potentially be used to improve diagnosis of diseases and disorders.<br />Graphical abstract

Details

ISSN :
22131582
Volume :
4
Database :
OpenAIRE
Journal :
NeuroImage: Clinical
Accession number :
edsair.doi.dedup.....f88ef26aeebbe238b43b44a6d16e8eca
Full Text :
https://doi.org/10.1016/j.nicl.2014.04.012