Literature DB >> 29388313

Deep learning approaches for detection and removal of ghosting artifacts in MR spectroscopy.

Sreenath P Kyathanahally1,2, André Döring1,2, Roland Kreis1.   

Abstract

Keywords:  artifacts; deep learning; human brain; machine learning; magnetic resonance spectroscopy; quality control; time-frequency representation

Mesh：

Year:  2018        PMID： 29388313     DOI： 10.1002/mrm.27096

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN： 0740-3194            Impact factor:   4.668


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  14 in total

1.  Classification and Diagnosis of Thyroid Carcinoma Using Reinforcement Residual Network with Visual Attention Mechanisms in Ultrasound Images.

Authors:  Yanming Zhang
Journal:  J Med Syst       Date:  2019-10-14       Impact factor: 4.460

Review 2.  Methodological consensus on clinical proton MRS of the brain: Review and recommendations.

Authors:  Martin Wilson; Ovidiu Andronesi; Peter B Barker; Robert Bartha; Alberto Bizzi; Patrick J Bolan; Kevin M Brindle; In-Young Choi; Cristina Cudalbu; Ulrike Dydak; Uzay E Emir; Ramon G Gonzalez; Stephan Gruber; Rolf Gruetter; Rakesh K Gupta; Arend Heerschap; Anke Henning; Hoby P Hetherington; Petra S Huppi; Ralph E Hurd; Kejal Kantarci; Risto A Kauppinen; Dennis W J Klomp; Roland Kreis; Marijn J Kruiskamp; Martin O Leach; Alexander P Lin; Peter R Luijten; Małgorzata Marjańska; Andrew A Maudsley; Dieter J Meyerhoff; Carolyn E Mountford; Paul G Mullins; James B Murdoch; Sarah J Nelson; Ralph Noeske; Gülin Öz; Julie W Pan; Andrew C Peet; Harish Poptani; Stefan Posse; Eva-Maria Ratai; Nouha Salibi; Tom W J Scheenen; Ian C P Smith; Brian J Soher; Ivan Tkáč; Daniel B Vigneron; Franklyn A Howe
Journal:  Magn Reson Med       Date:  2019-03-28       Impact factor: 4.668

Review 3.  Applications of Deep Learning to Neuro-Imaging Techniques.

Authors:  Guangming Zhu; Bin Jiang; Liz Tong; Yuan Xie; Greg Zaharchuk; Max Wintermark
Journal:  Front Neurol       Date:  2019-08-14       Impact factor: 4.003

4.  An iterative sparse deconvolution method for simultaneous multicolor 19 F-MRI of multiple contrast agents.

Authors:  Jasper Schoormans; Claudia Calcagno; Mariah R R Daal; Rob C I Wüst; Christopher Faries; Alexander Maier; Abraham J P Teunissen; Sonum Naidu; Brenda L Sanchez-Gaytan; Aart J Nederveen; Zahi A Fayad; Willem J M Mulder; Bram F Coolen; Gustav J Strijkers
Journal:  Magn Reson Med       Date:  2019-08-23       Impact factor: 4.668

5.  Deep learning can accelerate and quantify simulated localized correlated spectroscopy.

Authors:  Zohaib Iqbal; Dan Nguyen; Michael Albert Thomas; Steve Jiang
Journal:  Sci Rep       Date:  2021-04-22       Impact factor: 4.379

6.  Preprocessing, analysis and quantification in single-voxel magnetic resonance spectroscopy: experts' consensus recommendations.

Authors:  Jamie Near; Ashley D Harris; Christoph Juchem; Roland Kreis; Małgorzata Marjańska; Gülin Öz; Johannes Slotboom; Martin Wilson; Charles Gasparovic
Journal:  NMR Biomed       Date:  2020-02-21       Impact factor: 4.044

7.  Frequency and phase correction of J-difference edited MR spectra using deep learning.

Authors:  Sofie Tapper; Mark Mikkelsen; Blake E Dewey; Helge J Zöllner; Steve C N Hui; Georg Oeltzschner; Richard A E Edden
Journal:  Magn Reson Med       Date:  2020-11-18       Impact factor: 4.668

8.  The clinical utility of proton magnetic resonance spectroscopy in traumatic brain injury: recommendations from the ENIGMA MRS working group.

Authors:  Brenda L Bartnik-Olson; Jeffry R Alger; Talin Babikian; Ashley D Harris; Barbara Holshouser; Ivan I Kirov; Andrew A Maudsley; Paul M Thompson; Emily L Dennis; David F Tate; Elisabeth A Wilde; Alexander Lin
Journal:  Brain Imaging Behav       Date:  2021-04       Impact factor: 3.978

9.  Advanced magnetic resonance spectroscopic neuroimaging: Experts' consensus recommendations.

Authors:  Andrew A Maudsley; Ovidiu C Andronesi; Peter B Barker; Alberto Bizzi; Wolfgang Bogner; Anke Henning; Sarah J Nelson; Stefan Posse; Dikoma C Shungu; Brian J Soher
Journal:  NMR Biomed       Date:  2020-04-29       Impact factor: 4.044

10.  Determination of the Geographical Origin of Coffee Beans Using Terahertz Spectroscopy Combined With Machine Learning Methods.

Authors:  Si Yang; Chenxi Li; Yang Mei; Wen Liu; Rong Liu; Wenliang Chen; Donghai Han; Kexin Xu
Journal:  Front Nutr       Date:  2021-06-17
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