Automatic Registration of 3-D Ultrasound Images
Abstract
One of the most promising applications of 3-D ultrasound lies in the visualisation and volume estimation of internal 3-D structures. Unfortunately, artifacts and speckle make automatic analysis of the data difficult. In this paper we investigate the use of 3-D spatial compounding to improve data quality, and find that accurate registration is the key. A correlation-based registration technique is applied to 3-D ultrasound data acquired from in-vivo examinations of a human gall bladder. We find that the registration technique performs well, and visualisation and segmentation of the compounded data are clearly improved.
Cite
Text
Rohling et al. "Automatic Registration of 3-D Ultrasound Images." IEEE/CVF International Conference on Computer Vision, 1998. doi:10.1109/ICCV.1998.710734Markdown
[Rohling et al. "Automatic Registration of 3-D Ultrasound Images." IEEE/CVF International Conference on Computer Vision, 1998.](https://mlanthology.org/iccv/1998/rohling1998iccv-automatic/) doi:10.1109/ICCV.1998.710734BibTeX
@inproceedings{rohling1998iccv-automatic,
title = {{Automatic Registration of 3-D Ultrasound Images}},
author = {Rohling, Robert and Gee, Andrew H. and Berman, Laurence H.},
booktitle = {IEEE/CVF International Conference on Computer Vision},
year = {1998},
pages = {298-303},
doi = {10.1109/ICCV.1998.710734},
url = {https://mlanthology.org/iccv/1998/rohling1998iccv-automatic/}
}