Energy dependent z-scores improve parallel imaging motion correction using trimmed autocalibrating k-space estimation (TAKE) - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2022

Energy dependent z-scores improve parallel imaging motion correction using trimmed autocalibrating k-space estimation (TAKE)

Résumé

MRI motion corruption prevents clinical interpretation and image analysis for research purposes. The trimmed autocalibrating k-space estimation based on parallel imaging and structured matrix completion (TAKE) algorithm was previously proposed to retrospectively correct motion corrupted raw k-space data. This study proposes specific modifications of the TAKE algorithm to decrease its computation time and improve the detection of motion-corrupted k-space data. The proposed changes significantly improve the TAKE motion detection sensitivity and specificity along with its motion correction performance, while sufficiently decreasing its computation time to allow for its use in a standard clinical routine workflow.
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Dates et versions

hal-03859860 , version 1 (18-11-2022)

Identifiants

  • HAL Id : hal-03859860 , version 1

Citer

Jeremy Beaumont, Thomas Troalen, Swetali Nimje, Ludovic de Rochefort, Stanislas Rapacchi. Energy dependent z-scores improve parallel imaging motion correction using trimmed autocalibrating k-space estimation (TAKE). Proc. Intl. Soc. Mag. Reson. Med., May 2022, London, United Kingdom. pp.0352. ⟨hal-03859860⟩
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