Abstract
In the context of Alzheimer’s Disease, neuroimaging can provide regional indicators of biological or pathogenic processes or responses to therapeutic intervention. These imaging biomarkers coming from different image modalities and acquisitions can be used for a large variety of purposes (diagnostic, safety assessment, inclusion/exclusion criteria,… With the development of better and more complete and complex imaging acquisition techniques, the requirements over imaging analysis techniques and the need for more robust, more accurate and faster automation techniques have grown stronger. This chapter presents an overview of existing imaging biomarkers used in the context of Alzheimer’s Disease and the development of the field towards the automation of the extraction of imaging measurements. The challenges associated to this automation as well as the practical use of imaging biomarkers is then presented followed by practical examples and their relevance in the context of longitudinal pathological evolution. Lastly, the impact of newly acquired computational capacities in the field of imaging biomarkers and current research trends will be explored.
| Original language | English |
|---|---|
| Title of host publication | Handbook of Medical Image Computing and Computer Assisted Intervention |
| Publisher | Elsevier |
| Pages | 343-378 |
| Number of pages | 36 |
| ISBN (Electronic) | 9780128161760 |
| DOIs | |
| Publication status | Published - 1 Jan 2019 |
Keywords
- Alzheimer’s Disease
- Automation
- MRI
- Neuroimaging
- PET