Unsupervised physiological noise correction of functional magnetic resonance imaging data using phase and magnitude information ( <scp>PREPAIR</scp> )-Reference-Cited by-同舟云学术

Unsupervised physiological noise correction of functional magnetic resonance imaging data using phase and magnitude information ( PREPAIR )

Published:2022-11-19 Issue:3 Volume:44 Page:1209-1226
ISSN:1065-9471
Container-title:Human Brain Mapping
language:en
Short-container-title:Human Brain Mapping

Author:

Bancelin David¹^ORCID,Bachrata Beata¹²,Bollmann Saskia³,de Lima Cardoso Pedro¹,Szomolanyi Pavol¹,Trattnig Siegfried¹²,Robinson Simon Daniel¹²³⁴

Affiliation:

1. High Field MR Centre, Department of Biomedical Imaging and Image‐guided Therapy Medical University of Vienna Vienna Austria

2. Karl Landsteiner Institute for Clinical Molecular MR in Musculoskeletal Imaging Vienna Austria

3. Centre for Advanced Imaging The University of Queensland Brisbane Australia

4. Department of Neurology Medical University of Graz Graz Austria

Funder

Austrian Science Fund

Publisher

Wiley

Subject

Neurology (clinical),Neurology,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology,Anatomy

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/hbm.26152

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4. Extraction of the cardiac waveform from simultaneous multislice fMRI data using slice sorted averaging and a deep learning reconstruction filter

5. Bachrata B. Eckstein K. Trattnig S. &Robinson S. D.(2018).Considerations in quantitative susceptibility mapping using echo‐planar imaging. Proceedings of the 26th Annual Meeting of ISMRM; Paris France. Paris France #4996.

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