Iglesias, JE;
Ferraris, S;
Modat, M;
Gsell, W;
Deprest, J;
van der Merwe, JL;
Vercauteren, T;
(2017)
Template-free estimation of intracranial volume: A preterm birth animal model study.
In:
Fetal, Infant and Ophthalmic Medical Image Analysis.
(pp. pp. 3-13).
Springer Verlag
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Abstract
Accurate estimation of intracranial volume (ICV) is key in neuro-imaging-based volumetric studies, since estimation errors directly propagate to the ICV-corrected volumes used in subsequent analyses. ICV estimation through registration to a reference atlas has the advantage of not requiring manually delineated data, and can thus be applied to populations for which labeled data might be inexistent or scarce, e.g., preterm born animal models. However, such method is not robust, since the estimation depends on a single registration. Here we present a groupwise, template-free ICV estimation method that overcomes this limitation. The method quickly aligns pairs of images using linear registration at low resolution, and then computes the most likely ICV values using a Bayesian framework. The algorithm is robust against single registration errors, which are corrected by registrations to other subjects. The algorithm was evaluated on a pilot dataset of rabbit brain MRI (N=7), in which the estimated ICV was highly correlated (ρ =0.99) with ground truth values derived from manual delineations. Additional regression and discrimination experiments with human hippocampal volume on a subset of ADNI (N=150) yielded reduced sample sizes and increased classification accuracy, compared with using a reference atlas.
| Type: | Proceedings paper |
|---|---|
| Title: | Template-free estimation of intracranial volume: A preterm birth animal model study |
| Event: | International Workshop, FIFI 2017, and 4th International Workshop, OMIA 2017, Held in Conjunction with MICCAI 2017 |
| Location: | Québec City, QC, Canada |
| Dates: | 14 September 2017 |
| ISBN: | 9783319675619 |
| ISBN-13: | 9783319675602 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1007/978-3-319-67561-9_1 |
| Publisher version: | http://doi.org/10.1007/978-3-319-67561-9_1 |
| Language: | English |
| Additional information: | © Springer International Publishing AG 2017. This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10047354 |
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