Atlas selection strategy using least angle regression in multi-atlas segmentation propagation

Kaikai Shen*, Pierrick Bourgeat, Nicholas Dowson, Fabrice Meriaudeau, Olivier Salvado, Alzheimer's Disease Neuroimaging Initiative

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

3 Citations (Scopus)


In multi-atlas based segmentation propagation, segmentations from multiple atlases are propagated to the target image and combined to produce the segmentation result. Local weighted voting (LWV) method is a classifier fusion method which combines the propagated atlases weighted by local image similarity. We demonstrate that the segmentation accuracy using LWV improves as the number of atlases increases. Under this context, we show that introducing diversity in addition to image similarity by using least-angle regression (LAR) criteria is a more efficient way to rank and select atlases. The accuracy of multi-atlas segmentation converges faster when the atlases are selected in the order of LAR. We test the method on a hippocampal atlas set of 138 normal control (NC) subjects and another set of 99 Alzheimer's disease patients provided by ADNI. The result shows that LAR selection is more efficient than similarity based atlas selection. Fewer atlases were required using LAR selected atlases to achieve the same accuracy as fusing atlases from image similarity based selection.

Original languageEnglish
Title of host publication2011 8th IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro: Proceedings
PublisherWiley-IEEE Press
Number of pages4
ISBN (Electronic)9781424441280
ISBN (Print)9781424441273
Publication statusPublished - 2011
Externally publishedYes
Event8th IEEE International Symposium on Biomedical Imaging (ISBI) - From Nano to Macro - Chicago, Israel
Duration: 30 Mar 20112 Apr 2011

Publication series

NameIEEE International Symposium on Biomedical Imaging
ISSN (Print)1945-7928


Conference8th IEEE International Symposium on Biomedical Imaging (ISBI) - From Nano to Macro


  • MRI
  • image segmentation
  • multi-atlas segmentation propagation
  • atlas selection
  • least-angle regression

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