@inproceedings{b83a836d86ca470c97beff61e8ee3e5c,
title = "Similarity metrics for groupwise non-rigid registration",
abstract = "The use of groupwise registration techniques for average atlas construction has been a growing area of research in recent years. One particularly challenging component of groupwise registration is finding scalable and effective groupwise similarity metrics; these do not always extend easily from pairwise metrics. This paper investigates possible choices of similarity metrics and additionally proposes a novel metric based on Normalised Mutual Information. The described groupwise metrics are quantitatively evaluated on simulated and 3D MR datasets, and their performance compared to equivalent pairwise registration.",
author = "Bhatia, {Kanwal K.} and Jo Hajnal and Alexander Hammers and Daniel Rueckert",
year = "2007",
doi = "10.1007/978-3-540-75759-7_66",
language = "English",
isbn = "9783540757580",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
number = "PART 2",
pages = "544--552",
booktitle = "Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007 - 10th International Conference, Proceedings",
edition = "PART 2",
note = "10th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2007 ; Conference date: 29-10-2007 Through 02-11-2007",
}