2017-12-06
Quantitative Imaging Biomarkers for Hippocampus-based Dementia Prediction
Publication
Publication
Kwantitatieve beeldmaten van de hippocampus voor het voorspellen van dementie
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.
| Additional Metadata | |
|---|---|
| , , , , , , , , , | |
| W.J. Niessen (Wiro) , M. de Bruijne (Marleen) | |
| Erasmus University Rotterdam | |
| hdl.handle.net/1765/102960 | |
| ASCI dissertation series | |
| Organisation | Department of Medical Informatics |
|
Achterberg, H. (2017, December 6). Quantitative Imaging Biomarkers for Hippocampus-based Dementia Prediction (No. 383). ASCI dissertation series. Retrieved from http://hdl.handle.net/1765/102960 |
|
