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Ultrafast Spatiotemporally-Encoding: A Superior Approach to Cancer Diagnosis by Non-Invasive Diffusion-Weighted MRI

Total Cost €


EC-Contrib. €






Project "SPENmr" data sheet

The following table provides information about the project.


Organization address
address: HERZL STREET 234
postcode: 7610001

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-2014-PoC
 Funding Scheme ERC-POC
 Starting year 2015
 Duration (year-month-day) from 2015-02-01   to  2016-07-31


Take a look of project's partnership.

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


 Project objective

This proposal aims at commercializing a new method that can improve the detection and diagnosis of breast cancer. Using ultrafast magnetic resonance (MR) acquisition schemes that span off our UltraNMR ERC AdG award, we have found ways to exploit our Spatiotemporally-Encoded (SPEN) principles together with diffusion measurements, for the rapid, safe and non-invasive diagnosis of breast malignancies. This SPENmr PoC could provide much cleaner, artifact-free alternatives than existing standards; porting these methods into clinical use could reduce unnecessary biopsies, eliminate side-effects associated from contrast agent injections, expand the base of subjects that can be diagnosed without surgery, and improve the specificity of methods based on either mammography, ultrasound or contemporary MRI. All these benefits would simply require operating acquisition and processing software packages that will arise from this project, on any of the tens-of-thousands of clinical MRI scanners used nowadays worldwide for breast scanning. We consequently envision a large potential market, and a product whose successive refinements could have a lifetime of decades. Moreover, preliminary results indicate that the principles discussed in this proposal could be extended from breast to other human organs possessing an organized ductal/glandular structures –kidneys, prostate, pancreas– to analyses of stroke and to functional MRI.


year authors and title journal last update
List of publications.
2015 Zhiyong Zhang, Lucio Frydman
MRSI via fully-refocused spatiotemporal encoding with polychromatic spectral pulses
published pages: 24-31, ISSN: 1090-7807, DOI: 10.1016/j.jmr.2015.07.008
Journal of Magnetic Resonance 259 2019-07-22
2016 Zhiyong Zhang, Amir Seginer, Lucio Frydman
Single-scan MRI with exceptional resilience to field heterogeneities
published pages: , ISSN: 0740-3194, DOI: 10.1002/mrm.26145
Magnetic Resonance in Medicine 2019-07-22
2016 Eddy Solomon, Gilad Liberman, Noam Nissan, Lucio Frydman
Robust diffusion tensor imaging by spatiotemporal encoding: Principles and in vivo demonstrations
published pages: n/a-n/a, ISSN: 0740-3194, DOI: 10.1002/mrm.26197
Magnetic Resonance in Medicine 2019-07-22
2016 Gilad Liberman, Lucio Frydman
Reducing SAR requirements in multislice volumetric single-shot spatiotemporal MRI by two-dimensional RF pulses
published pages: , ISSN: 0740-3194, DOI: 10.1002/mrm.26270
Magnetic Resonance in Medicine 2019-07-22
2017 A. Seginer, R. Schmidt and L. Frydman
Spatiotemporal Encoding for Spectroscopic Imaging (SPENSI)
published pages: , ISSN: 1522-2594, DOI:
Magn. Reson. Med. 2019-07-22
2015 Rita Schmidt, Mor Mishkovsky, Jean-Noel Hyacinthe, Nicolas Kunz, Rolf Gruetter, Arnaud Comment, Lucio Frydman
Correcting surface coil excitation inhomogeneities in single-shot SPEN MRI
published pages: 199-206, ISSN: 1090-7807, DOI: 10.1016/j.jmr.2015.08.018
Journal of Magnetic Resonance 259 2019-07-22
2016 Zhiyong Zhang, Noam Shemesh, Lucio Frydman
Efficient spectroscopic imaging by an optimized encoding of pretargeted resonances
published pages: n/a-n/a, ISSN: 0740-3194, DOI: 10.1002/mrm.26161
Magnetic Resonance in Medicine 2019-07-22
2016 Eddy Solomon, Noam Nissan, Rita Schmidt, Edna Furman-Haran, Uriel Ben-Aharon, Lucio Frydman
Removing silicone artifacts in diffusion-weighted breast MRI by means of shift-resolved spatiotemporally encoding
published pages: 2064-2071, ISSN: 0740-3194, DOI: 10.1002/mrm.25757
Magnetic Resonance in Medicine 75/5 2019-07-22

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