Abstract
The boundary shift integral (BSI) is a widely used method
for measuring atrophy rate, dynamic changes of the
gray-matter and cerebrospinal fluid boundaries in
magnetic resonance images. BSI is based on intensity
differences on this boundary region. This work extends
the method in two respects: 1) Instead of using only
intensity information on the boundary region, a
probabilistic approach is proposed in which also other
characteristics of the boundary region can be used. 2)
The use of the probabilistic model enables to measure
changes between any structures or combination of
structures in the image. The performance of the extended
BSI is verified against standard BSI in the ADNI and AIBL
cohorts. The area-under-the-curve is clearly above 90 %
in both cohorts when comparing the classification between
cognitively normal and Alzheimer's disease groups. The
accuracies of the extended BSI were higher than the
standard BSI between these groups.
| Original language | English |
|---|---|
| Title of host publication | IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014 |
| Publisher | IEEE Institute of Electrical and Electronic Engineers |
| Pages | 854-857 |
| ISBN (Electronic) | 978-1-4673-1961-4 |
| ISBN (Print) | 978-1-4673-1959-1 |
| DOIs | |
| Publication status | Published - 2014 |
| MoE publication type | A4 Article in a conference publication |
| Event | 11th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2014 - Peking, China Duration: 29 Apr 2014 → 2 May 2014 |
Conference
| Conference | 11th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2014 |
|---|---|
| Abbreviated title | ISBI 2014 |
| Country/Territory | China |
| City | Peking |
| Period | 29/04/14 → 2/05/14 |
Keywords
- boundary shift integral
- atrophy rate