Abstract
This article studies the possibility of detecting dementia in an early stage, using nonrigid registration of MR brain scans in combination with dissimilarity-based pattern recognition techniques. Instead of focussing on the shape of a single brain structure, we take into account the shape differences within the entire brain. Imaging data was obtained from a longitudinal, population based study of the elderly. A set of 29 subjects was identified, who were asymptomatic at the time of scanning, but were diagnosed as having dementia within 0.7 to 5 years after the scan, and a set of 29 age and gender matched healthy controls were selected. Each subject was registered to all other subjects, using a nonrigid registration algorithm. Based on statistics of the deformation field in the brain, a dissimilarity measure was calculated between each pair of subjects, yielding a 58×58 dissimilarity matrix. A kNN classifier was trained on the dissimilarity matrix and the performance was tested in a leave-one-out experiment. A classification accuracy of 81% was attained (spec. 83%, sens. 79%). This demonstrates the potential of whole-brain intersubject dissimilarities to aid in early diagnosis of dementia.
| Original language | English |
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| Title of host publication | 2010 IEEE International Symposium on Biomedical Imaging : from nano to macro |
| Number of pages | 4 |
| Publisher | IEEE |
| Publication date | 2010 |
| Pages | 249-252 |
| ISBN (Print) | 978-1-4244-4125-9 |
| ISBN (Electronic) | 978-1-4244-4126-6 |
| DOIs | |
| Publication status | Published - 2010 |
| Event | 7th IEEE International Symposium on Biomedical Imaging: from nano to macro - Congress Center "De Doelen", Rotterdam, Netherlands Duration: 14 Apr 2010 → 17 Apr 2010 Conference number: 7 |
Conference
| Conference | 7th IEEE International Symposium on Biomedical Imaging |
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| Number | 7 |
| Location | Congress Center "De Doelen" |
| Country/Territory | Netherlands |
| City | Rotterdam |
| Period | 14/04/2010 → 17/04/2010 |