Meeting Banner
Abstract #3585

Ultra rapid volumetric imaging for diagnosis in memory clinic: assessment of white matter hyperintensities quantification

Carole Helene Sudre1,2, Haroon R Chughtai2, David L Thomas3,4, David Cash4, Miguel Rosa-Grilo4, Millie Beament4, Frederik Barkhof2,4,5, Daniel Alexander2, Cath Mummery4, Nick Fox4, and Geoff JM Parker2
1MRC Unit for Lifelong Health and Ageing at UCL, University College London, London, United Kingdom, 2Centre for Medical Image Computing, University College London, London, United Kingdom, 3Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom, 4Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom, 5Department of Radiology & Nuclear Medicine, Amsterdam UMC, Amsterdam, Netherlands

Synopsis

Keywords: Segmentation, DementiaAcquisition time is a crucial factor in the tolerability and availability of MRI examinations for patients attending memory clinics. The suitability of using prototype ultra-rapid sequences for the quantification of white matter hyperintensities was assessed by comparing segmentation outputs from standard clinical and ultra-rapid sequences. Despite a slightly lower sensitivity to smaller lesions, quantification of white matter hyperintensities when using ultra-rapid sequences was very highly correlated with lesion volumes obtained from standard sequences.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.

Keywords