Simpson, IJA;
Woolrich, MW;
Schnabel, JA;
(2011)
Probabilistic segmentation propagation from uncertainty in registration.
In:
Proccedings Medical Image Analysis and Understanding (MIUA), 2011.
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Abstract
In this paper we propose a novel approach for incorporating measures of spatial uncertainty which are derived from non-rigid registration, into propagated segmentation labels. In current approaches to segmentation via label propagation, a point-estimate of the registration parameters is used. However, this is limited by the registration accuracy achieved. In this work, we derive local measurements of the uncertainty of a non-rigid mapping from a probabilistic registration framework. This allows us to consider the set of probable locations for a segmentation label to hold. We demonstrate the use of this method on the propagation of accurately delineated cortical labels in inter-subject brain MRI using the NIREP dataset. We find that accounting for the spatial uncertainty of the mapping increases the sensitivity of correctly classifying anatomical labels.
| Type: | Proceedings paper |
|---|---|
| Title: | Probabilistic segmentation propagation from uncertainty in registration |
| Event: | Medical Image Understanding and Analysis 2011, King's College London Thursday 14th - Friday 15th July 2011. |
| Dates: | 2011-06 |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | http://biomedical-image-analysis.co.uk/images/stor... |
| Language: | English |
| Additional information: | © 2011. The copyright of this document resides with its authors. It may be distributed unchanged freely in print or electronic forms. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1401757 |
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