Respiratory motion correction in dynamic-MRI: application to small bowel motility quantification during free breathin

Valentin Hamy; Alex Menys; Emma Helbren; Freddy Odille; Shonit Punwani; Stuart Taylor; David Atkinson

doi:10.1007/978-3-642-40763-5_17

Respiratory motion correction in dynamic-MRI: application to small bowel motility quantification during free breathin

Med Image Comput Comput Assist Interv. 2013;16(Pt 2):132-40. doi: 10.1007/978-3-642-40763-5_17.

Authors

Valentin Hamy¹, Alex Menys¹, Emma Helbren², Freddy Odille³, Shonit Punwani¹, Stuart Taylor¹, David Atkinson¹

Affiliations

¹ Centre for Medical Imaging, University College London, UK.
² University College London Hospitals, London, UK.
³ Nancy University, Nancy, France.

PMID: 24579133
DOI: 10.1007/978-3-642-40763-5_17

Abstract

This study introduces a combination of two registration techniques for respiratory motion removal and the quantification of small bowel motility from free breathing cine MRI. The use of robust data decomposition registration (RDDR) allows for exclusive correction of respiratory motion in order to avoid errors in further analysis of motility due to the effects of breathing. The proposed method is assessed using regions of interest (ROIs) contoured in dynamic MRI of six healthy volunteers. The use of RDDR prior to motility quantification results in reduced errors on motility scores in ROIs, with respect to breath-holds.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Algorithms
Artifacts*
Humans
Image Enhancement / methods*
Image Interpretation, Computer-Assisted / methods*
Intestine, Small / anatomy & histology*
Magnetic Resonance Imaging, Cine / methods*
Pattern Recognition, Automated / methods*
Reproducibility of Results
Respiratory Mechanics
Respiratory-Gated Imaging Techniques / methods*
Sensitivity and Specificity