Volumetric Ultrasound Panorama Based on 3D SIFT
Refereed conference paper presented and published in conference proceedings


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摘要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.
著者Ni D, Qu YG, Yang X, Chui YP, Wong TT, Ho SSM, Heng PA
會議名稱11th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI2008)
會議開始日06.09.2008
會議完結日10.09.2008
會議地點New York
會議國家/地區美國
期刊名稱Lecture Notes in Artificial Intelligence
出版年份2008
月份1
日期1
卷號5242
出版社SPRINGER-VERLAG BERLIN
頁次52 - 60
國際標準書號978-3-540-85989-5
國際標準期刊號0302-9743
語言英式英語
Web of Science 學科類別Computer Science; Computer Science, Artificial Intelligence; Computer Science, Theory & Methods; Imaging Science & Photographic Technology

上次更新時間 2021-15-10 於 23:51