Journal article

An optimised framework for reconstructing and processing MR phase images

Z Chen, LA Johnston, DH Kwon, SH Oh, ZH Cho, GF Egan

Neuroimage | ACADEMIC PRESS INC ELSEVIER SCIENCE | Published : 2010

Abstract

Phase contrast imaging holds great potential for in vivo biodistribution studies of paramagnetic molecules and materials. However, in vivo quantification of iron storage and other paramagnetic materials requires improvements in reconstruction and processing of MR complex images. To achieve this, we have developed a framework including (i) an optimal coil sensitivity smoothing filter for phase imaging determined at the maximal signal to noise ratio, (ii) a phase optimised and a complex image optimised reconstruction approach, and (iii) a magnitude and phase correlation test criterion to determine the low pass filter parameter for background phase removal. The method has been evaluated using 3..

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University of Melbourne Researchers

Grants

Awarded by Australian Research Council


Funding Acknowledgements

This work was supported by the Australian National Health Medical Research Council (Grant # 400317), the Australian Research Council (Grant # LX0774759), and the Australia Korea Foundation. This work was partly supported by the Ministry of Education, Science and Technology (MEST), Republic of Korea, and the Korea Science and Engineering Foundation (KOSEF) (Grant no. 20090065597).