Volumetric Ultrasound Panorama Based on 3D SIFT

Authors:
Dong Ni;Yingge Qu;Xuan Yang;Yim Pan Chui;Tien-Tsin Wong;Simon S. Ho;Pheng Ann Heng
Affiliations:
Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China;Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China;Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China;Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China;Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China;Union Hospital, Hong Kong SAR, China;Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China
Venue:
MICCAI '08 Proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, Part II
Year:
2008

Citing 6
Cited 6

Multiple View Geometry in Computer Vision

Multiple View Geometry in Computer Vision
Recognising Panoramas

ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Distinctive Image Features from Scale-Invariant Keypoints

International Journal of Computer Vision
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories

CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
A 3-dimensional sift descriptor and its application to action recognition

Proceedings of the 15th international conference on Multimedia
Three-dimensional ultrasound mosaicing

MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention

Multi-modal Registration Based Ultrasound Mosaicing

MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I
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
Learning ultrasound-guided needle insertion skills through an edutainment game

Transactions on edutainment IV
Generating time lines with virtual words for time-varying data visualization

Proceedings of the 5th International Symposium on Visual Information Communication and Interaction
A Performance Evaluation of Volumetric 3D Interest Point Detectors

International Journal of Computer Vision
3D CBIR with sparse coding for image-guided neurosurgery

Signal Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

The reconstruction of three-dimensional (3D) ultrasound panorama from multiple ultrasound volumes can provide a wide field of view for better clinical diagnosis. Registration of ultrasound volumes has been a key issue for the success of this panoramic process. In this paper, we propose a method to register and stitch ultrasound volumes, which are scanned by dedicated ultrasound probe, based on an improved 3D Scale Invariant Feature Transform (SIFT) algorithm. We propose methods to exclude artifacts from ultrasound images in order to improve the overall performance in 3D feature point extraction and matching. Our method has been validated on both phantom and clinical data sets of human liver. Experimental results show the effectiveness and stability of our approach, and the precision of our method is comparable to that of the position tracker based registration.