Abstract #1850

Retrospective motion correction in multiple average, free-breathing cardiac cine imaging

Alexander Paul Neofytou¹, Radhouene Neji^1,2, James Wong³, Anastasia Fotaki¹, Joana Ferreira¹, Carl Evans¹, Filippo Bosio¹, Nabila Mughal¹, Reza Razavi¹, Kuberan Pushparajah¹, and Sébastien Roujol¹

¹School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom, ²MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom, ³Department of Paediatric Cardiology, Evelina London Children’s Hospital, London, United Kingdom

Synopsis

A novel reconstruction technique based on iterative rejection of segmented k-space was developed for retrospective correction of respiratory motion in multiple average, free-breathing cine images. In comparison to standard signal averaging reconstruction, it provides higher sharpness, SNR, CNR, image quality, and rate of diagnostic quality images.

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