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An inverse problem approach to the estimation of volume change.
In: Duncan, JS and Gerig, G, (eds.)
MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2005, PT 2.
(pp. 616 - 623).
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.
|Title:||An inverse problem approach to the estimation of volume change|
|Event:||8th International Conference on Medical Image Computing and Computer-Assisted Intervention|
|Location:||Palm Springs, CA|
|Dates:||2005-10-26 - 2005-10-29|
|UCL classification:||UCL > School of Life and Medical Sciences
UCL > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > School of Life and Medical Sciences > Faculty of Brain Sciences > Institute of Neurology
UCL > School of Life and Medical Sciences > Faculty of Brain Sciences > Institute of Neurology > Neurodegenerative Diseases
UCL > School of BEAMS
UCL > School of BEAMS > Faculty of Engineering Science
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