Three-dimensional ultrasound mosaicing

Authors:
Christian Wachinger;Wolfgang Wein;Nassir Navab
Affiliations:
Computer Aided Medical Procedures, TUM, Munich, Germany and Siemens Corporate Research, Princeton, NJ;Computer Aided Medical Procedures, TUM, Munich, Germany and Siemens Corporate Research, Princeton, NJ;Computer Aided Medical Procedures, TUM, Munich, Germany
Venue:
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
Year:
2007

Citing 2
Cited 6

Alignment by maximization of mutual information

Alignment by maximization of mutual information
Multi-Image Matching Using Multi-Scale Oriented Patches

CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01

Volumetric Ultrasound Panorama Based on 3D SIFT

MICCAI '08 Proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, Part II
Reducing Motion Artifacts in 3-D Breast Ultrasound Using Non-linear Registration

MICCAI '08 Proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, Part II
Multiview RT3D Echocardiography Image Fusion

FIMH '09 Proceedings of the 5th International Conference on Functional Imaging and Modeling of the Heart
Alignment of Viewing-Angle Dependent Ultrasound Images

MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I
Registration-based propagation for whole heart segmentation from compounded 3D echocardiography

ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
Real time image-based tracking of 4d ultrasound data

MICCAI'12 Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I

Quantified Score

Hi-index	0.01

Visualization

Abstract

The creation of 2D ultrasound mosaics is becoming a common clinical practice with a high clinical value. The next step coming along with the increasing availability of 2D array transducers is the creation of 3D mosaics. In the literature of ultrasound registration, the alignment of multiple images has not yet been addressed. Therefore, we propose registration strategies, which are able to cope with problems arising by multiple image alignment. Among others, we use simultaneous registration which urges the usage of multivariate similarity measures. In this paper, we propose alternative multivariate extensions based on a maximum likelihood framework. Experimental results show the good performance of the proposed registration strategies and similarity measures.