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


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AbstractThe 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.
All Author(s) ListNi D, Qu YG, Yang X, Chui YP, Wong TT, Ho SSM, Heng PA
Name of Conference11th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI2008)
Start Date of Conference06/09/2008
End Date of Conference10/09/2008
Place of ConferenceNew York
Country/Region of ConferenceUnited States of America
Journal nameLecture Notes in Artificial Intelligence
Year2008
Month1
Day1
Volume Number5242
PublisherSPRINGER-VERLAG BERLIN
Pages52 - 60
ISBN978-3-540-85989-5
ISSN0302-9743
LanguagesEnglish-United Kingdom
Web of Science Subject CategoriesComputer Science; Computer Science, Artificial Intelligence; Computer Science, Theory & Methods; Imaging Science & Photographic Technology

Last updated on 2020-26-10 at 00:27