scholarly journals External Dynamic InTerference Estimation and Removal (EDITER) for low field MRI

2021 ◽  
Author(s):  
Sai Abitha Srinivas ◽  
Stephen F. Cauley ◽  
Jason P. Stockmann ◽  
Charlotte R. Sappo ◽  
Christopher E. Vaughn ◽  
...  
Keyword(s):  
Low Field ◽  
Low Field Mri ◽  
Interference Estimation ◽  
Dynamic Interference

Improved Contrast in Ultra-Low-Field MRI with Time-Dependent Bipolar Prepolarizing Fields: Theory and NMR Demonstrations

2013 ◽  
Vol 20 (3) ◽  
pp. 327-336 ◽  
Author(s):  
Jaakko O. Nieminen ◽  
Jens Voigt ◽  
Stefan Hartwig ◽  
Hans Jürgen Scheer ◽  
Martin Burghoff ◽  
...  
Keyword(s):  
Field Strength ◽  
Time Course ◽  
Signal Strength ◽  
Relaxation Rates ◽  
Resonance Imaging ◽  
New Approach ◽  
Spin Lattice ◽  
Low Field ◽  
Low Field Mri ◽  
Magnetic Resonance Imaging Mri

Abstract The spin-lattice (T1) relaxation rates of materials depend on the strength of the external magnetic field in which the relaxation occurs. This T1 dispersion has been suggested to offer a means to discriminate between healthy and cancerous tissue by performing magnetic resonance imaging (MRI) at low magnetic fields. In prepolarized ultra-low-field (ULF) MRI, spin precession is detected in fields of the order of 10-100 μT. To increase the signal strength, the sample is first magnetized with a relatively strong polarizing field. Typically, the polarizing field is kept constant during the polarization period. However, in ULF MRI, the polarizing-field strength can be easily varied to produce a desired time course. This paper describes how a novel variation of the polarizing-field strength and duration can optimize the contrast between two types of tissue having different T1 relaxation dispersions. In addition, NMR experiments showing that the principle works in practice are presented. The described procedure may become a key component for a promising new approach of MRI at ultra-low fields

Improving Image Quality In Low-Field MRI With Deep Learning

2021 ◽  
Author(s):  
Armando Garcia Hernandez ◽  
Pierre Fau ◽  
Stanislas Rapacchi ◽  
Julien Wojak ◽  
Hugues Mailleux ◽  
...  
Keyword(s):  
Deep Learning ◽  
Image Quality ◽  
Low Field ◽  
Low Field Mri

Breast tumor imaging with ultra low field MRI

1994 ◽  
Vol 12 (3) ◽  
pp. 395-401 ◽  
Author(s):  
Kirsti I. Dean ◽  
Markku Komu
Keyword(s):  
Breast Tumor ◽  
Tumor Imaging ◽  
Low Field ◽  
Low Field Mri

Deep Learning–based Method for Denoising and Image Enhancement in Low-Field MRI

2021 ◽  
Author(s):  
Dang Bich Thuy Le ◽  
Meredith Sadinski ◽  
Aleksandar Nacev ◽  
Ram Narayanan ◽  
Dinesh Kumar
Keyword(s):  
Deep Learning ◽  
Image Enhancement ◽  
Low Field ◽  
Low Field Mri

A quadrature lowpass birdcage coil for a vertical low field MRI scanner

2004 ◽  
Vol 22B (1) ◽  
pp. 1-6 ◽  
Author(s):  
Giulio Giovannetti ◽  
Raffaello Francesconi ◽  
Luigi Landini ◽  
Vittorio Viti ◽  
Maria Filomena Santarelli ◽  
...  
Keyword(s):  
Birdcage Coil ◽  
Low Field ◽  
Low Field Mri

scholarly journals Practical Implications of Ferromagnetic Artifacts in Low-field MRI-guided Radiotherapy

Cureus ◽  
2018 ◽  
Author(s):  
Olga Green ◽  
Lauren E Henke ◽  
Parag Parikh ◽  
Michael C Roach ◽  
Jeff M Michalski ◽  
...  
Keyword(s):  
Low Field ◽  
Low Field Mri ◽  
Mri Guided ◽  
Practical Implications
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