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.
| Original language | English |
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| Title of host publication | Medical Image Computing and Computer-Assisted Intervention - MICCAI 2008 |
| Subtitle of host publication | 11th International Conference, New York, NY, USA, September 6-10, 2008, Proceedings, Part II |
| Publisher | Springer |
| Pages | 52-60 |
| Number of pages | 9 |
| Volume | 11 |
| Edition | Pt 2 |
| Publication status | Published - 2008 |
| Externally published | Yes |
| Event | Medical Image Computing and Computer-Assisted Intervention 2008 - New York, United States of America Duration: 6 Sept 2008 → 10 Sept 2008 https://link.springer.com/book/10.1007/978-3-540-85990-1 |
Publication series
| Name | Lecture Notes in Computer Science |
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| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | Medical Image Computing and Computer-Assisted Intervention 2008 |
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| Country/Territory | United States of America |
| City | New York |
| Period | 6/09/08 → 10/09/08 |
| Internet address |