Rita G. Nunes

ORCID iD
https://orcid.org/0000-0001-7425-5717
  • Also known as
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Rita Gouveia Nunes

Sources:
Rita G. Nunes (2016-03-18)

  • Country
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Portugal

Sources:
Scopus - Elsevier (2016-01-24)

  • Keywords
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MRI, Pulse Sequence Development, Image Reconstruction

Sources:
Rita G. Nunes (2013-11-20)

  • Websites
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https://www.laseeb.org/?page_id=90

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Rita G. Nunes (2017-11-28)

  • Other IDs
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Scopus Author ID: 8934111100

Sources:
Scopus - Elsevier (2013-11-19)

ResearcherID: I-6659-2013

Sources:
ResearcherID (2015-10-06)

Biography

Rita Nunes is a Magnetic Resonance Imaging Physicist with a D.Phil. in Medical Imaging from the University of Oxford. During her studies she focused on the implementation and optimisation of Diffusion-Weighted imaging Echo Planar Imaging (EPI) pulse sequences. Following her DPhil, she worked briefly at the Psychology Department at Princeton University, setting up an image acquisition and analysis pipeline for DTI of the brain. She then joined the Imaging Sciences Department at Imperial College London, working on pulse sequence development (multi-band acquisitions, continuously-moving table whole body imaging, resting state fMRI on neonates) and imaging reconstruction, including parallel imaging and artefact removal. In late 2009 she became a Researcher at the Institute of Biophysics and Biomedical Engineering, Faculty of Sciences of the University of Lisbon (FCUL) where she also taught Biophysics and Biomedical Engineering undergraduates. She has been a Visiting Research Fellow at King’s College London since 2012. At the end of 2016 she moved to the Institute of Systems and Robotics and the Department of Bioengineering at Instituto Superior Técnico as Assistant Professor. Her current research interests include acceleration of MRI acquisition (dictionary learning approaches, compressed sensing, MR fingerprinting), development of pulse sequences (she recently implemented a diffusion-weighted Fast Spin Echo sequence with prospective motion correction), and artefact removal (currently focusing on EPI distortion correction). She has recently been involved in the development of imaging analysis tools for multimodal quantitative imaging of Parkinson patients, including structural connectivity based on DTI and DKI.
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