Abstract #3005

An extendable web-based tool for online radiological assessment of imaging protocols

Haroon R Chughtai^1,2, Miguel Rosa-Grilo³, David L Thomas^3,4, Bhavana S Solanky^1,5, Millie Beament³, Daniel C Alexander⁶, Frederik Barkhoff^3,7, Nick Fox³, Catherine J Mummery³, and Geoff JM Parker^1,5,8

¹Centre for Medical Image Computing (CMIC), Medical Physics & Biomedical Engineering, University College London, London, United Kingdom, ²Advanced Research Computing (ARC) Centre, University College London, London, United Kingdom, ³Dementia Research Centre (DRC), UCL Queen Square Institute of Neurology, University College London, London, United Kingdom, ⁴Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom, ⁵NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom, ⁶Centre for Medical Image Computing (CMIC), Computer Science, University College London, London, United Kingdom, ⁷Department of Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam, Netherlands, ⁸Bioxydyn Limited, Manchester, United Kingdom

Synopsis

Keywords: Software Tools, Software Tools

Motivation: Available online reading tools were not readily extendable for our comparative and inter-rater radiological assessment of an ultra-fast MRI protocol for dementia diagnosis.

Goal(s): We sought to develop a review tool to enable scalable, geographically-distributed review of imaging protocols for diagnostic use.

Approach: We designed a web-based review tool and evaluated it for our needs, whilst ensuring flexibility for use across MRI studies.

Results: We developed the Extendable Review Tool using popular technologies to ease configuration for future studies. We tested the tool using a dementia-specific questionnaire to compare ultra-fast and standard of care MRI scans across a range of contrasts.

Impact: Our Extendable Review Tool is customisable for any MRI-based study where geographically-distributed clinical reading of a set of images is needed. As an extendable and flexible web-based tool it has potential to aid a broad range of studies.

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