TY - GEN
T1 - A modular registration algorithm for medical images
AU - Bertoluzza, Silvia
AU - Maggi, Giulia
AU - Tomatis, Stefano
PY - 2013
Y1 - 2013
N2 - The aim of this communication is to present the design of a code for image registration based on a modular structure which allows to easily combine and interchange different image models, transformation classes and image "distance" functionals, which are dealt with by independent modules which can be implemented transparently to each other. The code is tested by comparing several registration strategies on medical images.
AB - The aim of this communication is to present the design of a code for image registration based on a modular structure which allows to easily combine and interchange different image models, transformation classes and image "distance" functionals, which are dealt with by independent modules which can be implemented transparently to each other. The code is tested by comparing several registration strategies on medical images.
KW - medical imaging
KW - optimization
KW - registration algorithm
UR - http://www.scopus.com/inward/record.url?scp=84884467258&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84884467258&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-39094-4_53
DO - 10.1007/978-3-642-39094-4_53
M3 - Conference contribution
AN - SCOPUS:84884467258
SN - 9783642390937
VL - 7950 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 467
EP - 474
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
T2 - 10th International Conference on Image Analysis and Recognition, ICIAR 2013
Y2 - 26 June 2013 through 28 June 2013
ER -