@inproceedings{aeb727f53ada45df92c2f544eb762395,
title = "The mirror method of assessing segmentation quality in atlas label propagation",
abstract = "Atlas-based brain image segmentation quality is difficult to assess in the absence of reference target segmentations. We propose a measure of segmentation success based on transforming the atlas label twice: once by registering the atlas to the target and a second time by registering the target to the atlas. Each registration represents transformations by free-form deformations. The overlap between the twice-transformed label and the original ('mirror overlap') correlates with the forward overlap (between the once-transformed label and a target reference), especially for subcortical structures. Using mirror overlap as an atlas selection criterion results in improved segmentations versus random selection.",
keywords = "Atlas, Brain, Image segmentation, Magnetic resonance imaging",
author = "Heckemann, {R. A.} and A. Hammers and P. Aljabar and D. Rueckert and Hajnal, {J. V.}",
year = "2009",
doi = "10.1109/ISBI.2009.5193272",
language = "English",
isbn = "9781424439324",
series = "Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009",
pages = "1194--1197",
booktitle = "Proceedings - 2009 IEEE International Symposium on Biomedical Imaging",
note = "2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009 ; Conference date: 28-06-2009 Through 01-07-2009",
}