TY - GEN
T1 - Alignment of viewing-angle dependent ultrasound images
AU - Wachinger, Christian
AU - Navab, Nassir
N1 - Funding Information:
This work was partly funded by the European Project ”PASSPORT”, ref. number 223904. The authors thank Andreas Keil and Reviewer 1 for valuable contributions.
PY - 2009
Y1 - 2009
N2 - We address the problem of the viewing-angle dependency of ultrasound images for registration. The reflected signal from large scale tissue boundaries is dependent on the incident angle of the beam. This applies an implicit weighting on the ultrasound image, dependent on the viewing-angle, which negatively affects the registration process, especially when utilizing curved linear transducers. We show that a simple reweighting of the images, considering a common physical model for ultrasound imaging, is not feasible. We therefore introduce a new matching function, separating reflectivity and scattering regions, which are the results of two different types of physical interactions of the ultrasound beam with the tissue. We use the local phase for identifying regions of reflectivity, and consider it as one part of our matching function, combining feature- and intensity-based aspects. First experiments provide good results for this novel registration approach.
AB - We address the problem of the viewing-angle dependency of ultrasound images for registration. The reflected signal from large scale tissue boundaries is dependent on the incident angle of the beam. This applies an implicit weighting on the ultrasound image, dependent on the viewing-angle, which negatively affects the registration process, especially when utilizing curved linear transducers. We show that a simple reweighting of the images, considering a common physical model for ultrasound imaging, is not feasible. We therefore introduce a new matching function, separating reflectivity and scattering regions, which are the results of two different types of physical interactions of the ultrasound beam with the tissue. We use the local phase for identifying regions of reflectivity, and consider it as one part of our matching function, combining feature- and intensity-based aspects. First experiments provide good results for this novel registration approach.
UR - http://www.scopus.com/inward/record.url?scp=84883352077&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-04268-3_96
DO - 10.1007/978-3-642-04268-3_96
M3 - Conference contribution
C2 - 20426059
AN - SCOPUS:84883352077
SN - 3642042678
SN - 9783642042676
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 779
EP - 786
BT - Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009 - 12th International Conference, Proceedings
T2 - 12th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2009
Y2 - 20 September 2009 through 24 September 2009
ER -