Abstract
Current medical content-based retrieval (MCBR) systems for neuroimaging data mainly focus on retrieving the cross-sectional neuroimaging data with similar regional or global measurements. The longitudinal pathological changes along different time-points are usually neglected in such MCBR systems. We propose the cross-registration based retrieval for longitudinal MR data to retrieve patients with similar structural changes as an extension to the existing MCBR systems. The diffeomorphic demons registration is used to extract the tissue deformation between two adjacent MR volumes. An asymmetric square dissimilarity matrix is designed for indexing the patient changes within a specific interval. A visual demonstration is given to show the registration displacement fields of the query as compared to the simulated results. The experimental performance with the mean average precision (mAP) and the average top-K accuracy (aACC) are reported for evaluation.
Original language | English |
---|---|
Title of host publication | 2015 IEEE 12th International Symposium on Biomedical Imaging, ISBI 2015 |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 588-591 |
Number of pages | 4 |
Volume | 2015-July |
ISBN (Electronic) | 9781479923748 |
DOIs | |
Publication status | Published - 1 Jan 2015 |
Externally published | Yes |
Event | 12th IEEE International Symposium on Biomedical Imaging, ISBI 2015 - Brooklyn, United States Duration: 16 Apr 2015 → 19 Apr 2015 |
Conference
Conference | 12th IEEE International Symposium on Biomedical Imaging, ISBI 2015 |
---|---|
Country/Territory | United States |
City | Brooklyn |
Period | 16/04/15 → 19/04/15 |
Keywords
- ADNI
- Content-Based Retrieval
- Longitudinal Neuroimaging Analysis
- MRI