This thesis is about hippocampus-based quantitative imaging biomarkers for the prediction of dementia.
The research focussed on the following aspects of the biomarkers:
1) robust segmentation of brain structures on scans with varying acquisition protocols,
2) the predictive value of hippocampal volume, shape, and texture for dementia,
3) spatially aware regression of shape data using P-spline based regression, and
4) a workflow framework for large-scale extraction of biomarkers.

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W.J. Niessen (Wiro) , M. de Bruijne (Marleen)
Erasmus University Rotterdam
ASCI dissertation series
Department of Medical Informatics

Achterberg, H. (2017, December 6). Quantitative Imaging Biomarkers for Hippocampus-based Dementia Prediction (No. 383). ASCI dissertation series. Retrieved from