Abstract #1767
Fully automated estimation of brain volumes in post-mortem newborns and fetuses
Eliza Orasanu 1 , Andrew Melbourne 1 , M. Jorge Cardoso 1 , Marc Modat 1 , Andrew M. Taylor 2 , Sudhin Thayyil 3 , and Sebastien Ourselin 1
1
Centre of Medical Image Computing,
University College London, London, United Kingdom,
2
Centre
for Cardiovascular Imaging, Institute of Cardiovascular
Science, University College London, London, United
Kingdom,
3
University
College Hospital, London, United Kingdom
Minimally invasive autopsy using post-mortem magnetic
resonance imaging (MRI) can be a valid alternative to
conventional autopsy in fetuses and infants. Estimation
of brain weight is an integral part of autopsy, but
manual segmentation of visceral organ volumes on MRI is
labour intensive and unsuitable for routine clinical
practice. In this paper we show that brain weight can be
estimated from post-mortem brain MRI with a maximum
error of 2% in fetuses and 11% in newborns using a fully
automated technique. This technique can be used in
clinical practice and may increase the uptake of
minimally invasive autopsy.
This abstract and the presentation materials are available to members only;
a login is required.
Join Here
