Abstract
In this paper we discuss image registration techniques with a focus on volume preserving constraints. These constraints can reduce the non-uniqueness of the registration problem significantly. Our implementation is based on a constrained optimization formulation. To solve the problem we use a variant of the Sequential Quadratic Programming method. Moreover, we present results on synthetic as well as on real-life data.
Original language | English |
---|---|
Title of host publication | Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004 |
Editors | Christian Barillot, David R. Haynor, Pierre Hellier |
Number of pages | 8 |
Volume | 3216 |
Place of Publication | Berlin, Heidelberg |
Publisher | Springer Berlin Heidelberg |
Publication date | 01.09.2004 |
Pages | 591-598 |
ISBN (Print) | 978-3-540-22976-6 |
ISBN (Electronic) | 978-3-540-30135-6 |
DOIs | |
Publication status | Published - 01.09.2004 |
Event | 7th International Conference on Medical Image Computing and Computer-Assisted Intervention - Saint-Malo, France Duration: 26.09.2004 → 29.09.2004 Conference number: 64990 |