title: A Probabilistic Method for Estimation of Bowel Wall Thickness in MR Colonography.
abstract: MRI has recently been applied as a tool to quantitatively evaluate the response to therapy in patients with Crohn's disease, and is the preferred choice for repeated imaging. Bowel wall thickness on MRI is an important biomarker of underlying inflammatory activity, being abnormally increased in the acute phase and reducing in response to successful therapy; however, a poor level of interobserver agreement of measured thickness is reported and therefore a system for accurate, robust and reproducible measurements is desirable. We propose a novel method for estimating bowel wall-thickness to improve the poor interobserver agreement of the manual procedure. We show that the variability of wall thickness measurement between the algorithm and observer measurements (0.25mm ± 0.81mm) has differences which are similar to observer variability (0.16mm ± 0.64mm).
authors.affiliation: Centre for Medical Image Computing (CMIC), University College London (UCL), Gower Street, London WC1E 6BT, United Kingdom.
authors.forename: Thomas
authors.identifier: http://orcid.org/0000-0003-4725-8693
authors.initials: T
authors.lastname: Hampshire
authors.affiliation: Centre for Medical Imaging, University College London, 250 Euston Road, London NW1 2PG, United Kingdom.
authors.forename: Alex
authors.initials: A
authors.lastname: Menys
authors.affiliation: Centre for Medical Imaging, University College London, 250 Euston Road, London NW1 2PG, United Kingdom.
authors.forename: Asif
authors.initials: A
authors.lastname: Jaffer
authors.affiliation: Centre for Medical Imaging, University College London, 250 Euston Road, London NW1 2PG, United Kingdom.
authors.forename: Gauraang
authors.initials: G
authors.lastname: Bhatnagar
authors.affiliation: Centre for Medical Imaging, University College London, 250 Euston Road, London NW1 2PG, United Kingdom.
authors.forename: Shonit
authors.initials: S
authors.lastname: Punwani
authors.affiliation: Centre for Medical Imaging, University College London, 250 Euston Road, London NW1 2PG, United Kingdom.
authors.forename: David
authors.initials: D
authors.lastname: Atkinson
authors.affiliation: Centre for Medical Imaging, University College London, 250 Euston Road, London NW1 2PG, United Kingdom.
authors.forename: Steve
authors.initials: S
authors.lastname: Halligan
authors.affiliation: Centre for Medical Image Computing (CMIC), University College London (UCL), Gower Street, London WC1E 6BT, United Kingdom.
authors.forename: David J
authors.initials: DJ
authors.lastname: Hawkes
authors.affiliation: Centre for Medical Imaging, University College London, 250 Euston Road, London NW1 2PG, United Kingdom.
authors.forename: Stuart A
authors.initials: SA
authors.lastname: Taylor
mesh_terms: D000328:Adult; D000465:Algorithms; D003424:Crohn Disease / Q000000981:diagnostic imaging* / Q000473:pathology*; D005260:Female; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D057188:Workflow; D055815:Young Adult