Retrospective motion correction in multiple average, free-breathing cardiac cine imaging
Alexander Paul Neofytou1, Radhouene Neji1,2, 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
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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