An inverse problem approach to the estimation of volume change.
We present a new technique for determining structure-by-structure volume changes, using an inverse problem approach. Given a pre-labelled brain and a series of images at different time-points, we generate finite element meshes from the image data, with volume change modelled by means of an unknown coefficient of expansion on a per-structure basis. We can then determine the volume change in each structure of interest using inverse problem optimization techniques. The proposed method has been tested with simulated and clinical data. Results suggest that the presented technique can be seen as an alternative for volume change estimation.
Schweiger
Martin
M
Department of Computer Science, University College London.
Camara-Rey
Oscar
O
Crum
William R
WR
Lewis
Emma
E
Schnabel
Julia
J
Arridge
Simon R
SR
Hill
Derek L G
DL
Fox
Nick
N