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X-Imaging

MRI diagnosis using a single-shot imaging technique with unprecedented robustness to field inhomogeneities

Total Cost €

0

EC-Contrib. €

0

Partnership

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 X-Imaging project word cloud

Explore the words cloud of the X-Imaging project. It provides you a very rough idea of what is the project "X-Imaging" about.

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Project "X-Imaging" data sheet

The following table provides information about the project.

Coordinator
WEIZMANN INSTITUTE OF SCIENCE 

Organization address
address: HERZL STREET 234
city: REHOVOT
postcode: 7610001
website: www.weizmann.ac.il

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Israel [IL]
 Total cost 150˙000 €
 EC max contribution 150˙000 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2016-PoC
 Funding Scheme ERC-POC
 Starting year 2017
 Duration (year-month-day) from 2017-07-01   to  2018-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    WEIZMANN INSTITUTE OF SCIENCE IL (REHOVOT) coordinator 150˙000.00

Map

 Project objective

This project seeks to exploit cross-term spatiotemporal encoding (xSPEN), a single-shot MRI modality that we introduced last year as part of our efforts to develop new ultrafast techniques in nuclear magnetic resonance. Besides delivering single-shot images in tens of milliseconds, xSPEN exhibits an unprecedented resilience to field inhomogeneities enabling it to access regions that have so far never been scanned by single-scan MRI. Over the last year we have confirmed this and further developed these single-shot measurements, combining it with sequences and algorithms enabling their use in kinetic and diffusivity studies. This PoC proposes to employ these new methods to tackle three problems that pose open challenges in diagnostic radiology, due to their involvement of tissue-metal and tissue-air interfaces subject to strong susceptibility distortions. These include (i) accessing physiological information in the proximity of metal implants; (ii) diagnosing cholesteatomas, a middle-ear growth of chronic recurrence with characteristic diffusion parameters; and (iii) examining and diagnosing optic nerve neurofibromatosis tumours by diffusion and by dynamic contrast enhanced MRI. By enabling non-invasive, mostly diffusion-based characterisations of these challenging radiological problems, xSPEN will provide hitherto unavailable opportunities to perform repetitive, differential diagnoses of diseases whose permanent solution demands invasive radiation and/or surgery procedures. This can in turn free patients from what could be unnecessary, highly invasive and dangerous operations, preserving a normal lifestyle, and alleviating associated healthcare costs. Furthermore, as despite its uniqueness xSPEN is compatible with thousands of contemporary clinical MRI machines, validating its diagnostic use on a suitable cohort of volunteers and patients should open a world-wide market of radiological imaging applications, with a life time of decades.

 Publications

year authors and title journal last update
List of publications.
2018 Gilad Liberman, Eddy Solomon, Michael Lustig, Lucio Frydman
Multiple-coil k -space interpolation enhances resolution in single-shot spatiotemporal MRI
published pages: 796-805, ISSN: 0740-3194, DOI: 10.1002/mrm.26731
Magnetic Resonance in Medicine 79/2 2019-10-29
2018 Tangi Roussel, Jens T. Rosenberg, Samuel C. Grant, Lucio Frydman
Brain investigations of rodent disease models by chemical exchange saturation transfer at 21.1 T
published pages: e3995, ISSN: 0952-3480, DOI: 10.1002/nbm.3995
NMR in Biomedicine 31/11 2019-10-08
2017 Eddy Solomon, Gilad Liberman, Zhiyong Zhang, Lucio Frydman
Diffusion MRI measurements in challenging head and brain regions via cross-term spatiotemporally encoding
published pages: , ISSN: 2045-2322, DOI: 10.1038/s41598-017-17947-1
Scientific Reports 7/1 2019-10-08
2018 Zhiyong Zhang, Michael Lustig, Lucio Frydman
Phase-encoded xSPEN: A novel high-resolution volumetric alternative to RARE MRI
published pages: 1492-1506, ISSN: 0740-3194, DOI: 10.1002/mrm.27143
Magnetic Resonance in Medicine 80/4 2019-10-08

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The information about "X-IMAGING" are provided by the European Opendata Portal: CORDIS opendata.

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