Abstract #4361

SENSE reconstruction with simultaneous 2D phase correction and channel-wise noise removal (SPECTRE)

Elizabeth Powell^1,2, Torben Schneider³, Marco Battiston², Francesco Grussu^2,4, Ahmed Toosy², Jonathan D Clayden⁵, and Claudia A. M. Gandini Wheeler-Kingshott^2,6,7

¹Medical Physics and Biomedical Engineering, University College London, London, United Kingdom, ²NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, United Kingdom, ³Philips Healthcare, Guildford, United Kingdom, ⁴Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom, ⁵Developmental Imaging and Biophysics Section, Great Ormond Street Institute of Child Health, University College London, London, United Kingdom, ⁶Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy, ⁷Brain MRI 3T Center, IRCCS Mondino Foundation, Pavia, Italy

Nyquist sampling errors in echo planar imaging (EPI) often require 2D phase correction during reconstruction to remove unwanted ghost artefacts; however, phase corrections can be challenging to translate to high b-value diffusion weighted imaging (DWI) owing to associated noise amplification. We introduce SPECTRE (SENSE with 2D PhasE CorrecTion and channel-wise noise REmoval), and demonstrate that the SNR gains achieved by denoising complex channel data enable robust ghost correction without biasing diffusion parameter estimates.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.