Literature DB >> 17328671

SQUID-detected magnetic resonance imaging in microtesla fields.

John Clarke1, Michael Hatridge, Michael Mössle.   

Abstract

The use of very low noise magnetometers based on Superconducting QUantum Interference Devices (SQUIDs) enables nuclear magnetic resonance (NMR) and magnetic resonance imaging (MRI) in microtesla magnetic fields. An untuned superconducting flux transformer coupled to a SQUID achieves a magnetic field noise of 10(-15) T Hz(-1/2). The frequency-independent response of this magnetometer combined with prepolarization of the nuclear spins yields an NMR signal that is independent of the Larmor frequency omega0. An MRI system operating in a field of 132 microT, corresponding to a proton frequency of 5.6 kHz, achieves an in-plane resolution of 0.7 x 0.7 mm2 in phantoms. Measurements of the longitudinal relaxation time T1 in different concentrations of agarose gel over five decades of frequency reveal much greater T1-differentiation at fields below a few millitesla. Microtesla MRI has the potential to image tumors with substantially greater T1-weighted contrast than is achievable in high fields in the absence of a contrast agent.

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Mesh:

Year:  2007        PMID: 17328671     DOI: 10.1146/annurev.bioeng.9.060906.152010

Source DB:  PubMed          Journal:  Annu Rev Biomed Eng        ISSN: 1523-9829            Impact factor:   9.590


  16 in total

1.  MRI of the human brain at 130 microtesla.

Authors:  Ben Inglis; Kai Buckenmaier; Paul Sangiorgio; Anders F Pedersen; Matthew A Nichols; John Clarke
Journal:  Proc Natl Acad Sci U S A       Date:  2013-11-19       Impact factor: 11.205

2.  Noise amplification in parallel whole-head ultra-low-field magnetic resonance imaging using 306 detectors.

Authors:  Fa-Hsuan Lin; Panu T Vesanen; Jaakko O Nieminen; Yi-Cheng Hsu; Koos C J Zevenhoven; Juhani Dabek; Lauri T Parkkonen; Andrey Zhdanov; Risto J Ilmoniemi
Journal:  Magn Reson Med       Date:  2012-09-28       Impact factor: 4.668

3.  Microtesla MRI with dynamic nuclear polarization.

Authors:  Vadim S Zotev; Tuba Owens; Andrei N Matlashov; Igor M Savukov; John J Gomez; Michelle A Espy
Journal:  J Magn Reson       Date:  2010-08-24       Impact factor: 2.229

4.  Multi-flux-transformer MRI detection with an atomic magnetometer.

Authors:  Igor Savukov; Todor Karaulanov
Journal:  J Magn Reson       Date:  2014-10-18       Impact factor: 2.229

5.  Suppressing multi-channel ultra-low-field MRI measurement noise using data consistency and image sparsity.

Authors:  Fa-Hsuan Lin; Panu T Vesanen; Yi-Cheng Hsu; Jaakko O Nieminen; Koos C J Zevenhoven; Juhani Dabek; Lauri T Parkkonen; Juha Simola; Antti I Ahonen; Risto J Ilmoniemi
Journal:  PLoS One       Date:  2013-04-23       Impact factor: 3.240

6.  T 1 relaxation measurement of ex-vivo breast cancer tissues at ultralow magnetic fields.

Authors:  Seong-Joo Lee; Jeong Hyun Shim; Kiwoong Kim; Seong-Min Hwang; Kwon Kyu Yu; Sanghyun Lim; Jae Ho Han; Hyunee Yim; Jang-Hee Kim; Yong Sik Jung; Ku Sang Kim
Journal:  Biomed Res Int       Date:  2015-01-29       Impact factor: 3.411

7.  Low-Cost High-Performance MRI.

Authors:  Mathieu Sarracanie; Cristen D LaPierre; Najat Salameh; David E J Waddington; Thomas Witzel; Matthew S Rosen
Journal:  Sci Rep       Date:  2015-10-15       Impact factor: 4.379

8.  SQUID-based detection of ultra-low-field multinuclear NMR of substances hyperpolarized using signal amplification by reversible exchange.

Authors:  K Buckenmaier; M Rudolph; C Back; T Misztal; U Bommerich; P Fehling; D Koelle; R Kleiner; H A Mayer; K Scheffler; J Bernarding; M Plaumann
Journal:  Sci Rep       Date:  2017-10-18       Impact factor: 4.379

9.  Discriminating hepatocellular carcinoma in rats using a high-Tc SQUID detected nuclear resonance spectrometer in a magnetic shielding box.

Authors:  Kai-Wen Huang; Hsin-Hsien Chen; Hong-Chang Yang; Herng-Er Horng; Shu-Hsien Liao; Shieh Yueh Yang; Jen-Jie Chieh; Li-Ming Wang
Journal:  PLoS One       Date:  2012-10-05       Impact factor: 3.240

10.  Fast Room Temperature Very Low Field-Magnetic Resonance Imaging System Compatible with MagnetoEncephaloGraphy Environment.

Authors:  Angelo Galante; Raffaele Sinibaldi; Allegra Conti; Cinzia De Luca; Nadia Catallo; Piero Sebastiani; Vittorio Pizzella; Gian Luca Romani; Antonello Sotgiu; Stefania Della Penna
Journal:  PLoS One       Date:  2015-12-02       Impact factor: 3.240

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