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Improving DESS contrast in 7T hip images using L1-norm denoising and optimal echo combination

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Heule,  R
Institutional Guests, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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https://www.ismrm.org/20/program_files/DP04-02.htm
(Abstract)

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Citation

Destruel, A., Li, M., Engstrom, C., Weber, E., Jin, J., Heule, R., et al. (2020). Improving DESS contrast in 7T hip images using L1-norm denoising and optimal echo combination. Poster presented at 2020 ISMRM & SMRT Virtual Conference & Exhibition.


Cite as: https://hdl.handle.net/21.11116/0000-0006-D8E7-2
Abstract
The double-echo steady-state (DESS) sequence has been used successfully in 3T MRI imaging of the musculoskeletal system for segmentation of joint. However, in 3D-DESS images acquired at 7T MRI, a reduction in the contrast between tissues due to an increased diffusion sensitivity may complicate cartilage segmentation. Typically, the signals acquired with DESS are averaged without any pre-processing. However, these signals give different contrasts and have different noise behaviours. In this work, we improve the contrast-to-noise ratio (CNR) whilst preserving anatomical detail in high-resolution 7T DESS images through a new approach combining L1-norm denoising and p-norm combination of the echo signals.