Yolanda Georgia Koutraki1,2, Rachael O. Forsythe2, Chengjia Wang1,3, Olivia Mcbride2, Jennifer Robson2, Tom J. MacGillivray1, Calum D. Gray1, David E. Newby1,2, and Scott I. Semple1,2
1Clinical Research Imaging Centre, University of Edinburgh, Edinburgh, United Kingdom, 2Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, United Kingdom, 3Toshiba Medical Visualization System-Europe, Edinburgh, United Kingdom
The
measurement of the diameter of abdominal aortic aneurysms (AAA) as a criterion
for repair has been proved to be imperfect, thus new methods are required. Uptake of Ultrasmall Superparamagnetic
Particles of Iron Oxide (USPIO) in AAA has been shown to correlate with
aneurysm growth-rate.
We previously suggested the use of an automatic AAA classification
technique in order to replace manual processing. We have now improved our
algorithm to include 3D data analysis and visualisation, multivariate analysis
of metrics, batch processing and a Graphical User Interface. We are improving
growth prediction with full reproducibility, 40 times faster than before.
