Chapter title |
Similarity metrics for groupwise non-rigid registration.
|
---|---|
Chapter number | 66 |
Book title |
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007
|
Published in |
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, January 2007
|
DOI | 10.1007/978-3-540-75759-7_66 |
Pubmed ID | |
Book ISBNs |
978-3-54-075758-0, 978-3-54-075759-7
|
Authors |
Kanwal K. Bhatia, Jo Hajnal, Alexander Hammers, Daniel Rueckert, Bhatia, Kanwal K., Hajnal, Jo, Hammers, Alexander, Rueckert, Daniel |
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. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 2 | 3% |
Netherlands | 2 | 3% |
United States | 2 | 3% |
Canada | 2 | 3% |
United Kingdom | 2 | 3% |
Spain | 2 | 3% |
Pakistan | 1 | 1% |
Argentina | 1 | 1% |
Switzerland | 1 | 1% |
Other | 2 | 3% |
Unknown | 56 | 77% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 22 | 30% |
Researcher | 20 | 27% |
Professor | 6 | 8% |
Student > Master | 5 | 7% |
Professor > Associate Professor | 4 | 5% |
Other | 9 | 12% |
Unknown | 7 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 22 | 30% |
Engineering | 11 | 15% |
Medicine and Dentistry | 8 | 11% |
Mathematics | 5 | 7% |
Agricultural and Biological Sciences | 4 | 5% |
Other | 11 | 15% |
Unknown | 12 | 16% |