Parallelism of extended-field-of-view sonography based on scale invariant feature transform

Ruixin Ding; Junming Wu; Qinghua Huang

doi:10.1109/BMEI.2011.6098274

Parallelism of extended-field-of-view sonography based on scale invariant feature transform

Ruixin Ding, Junming Wu, Qinghua Huang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

EFOV sonography can acquire a full field of vision, which can help doctors to make more objective and accurate diagnosis. This paper explores parallel implementation techniques for Extended-Field-of-View (EFOV) Sonography based on Scale Invariant Feature Transform (SIFT). In our method, the SIFT algorithm is used to more accurately register the images. Bidirectional matching algorithm is chosen to improve the accuracy of image registration. For real-time applications, we propose a parallel computing approach to speed up the generation of panorama. Based on the cluster of PCs, we erect a parallel computing platform and perform preliminary experiments. The results demonstrate the effectiveness of our approach by comparing to traditional methods.

Original language	English
Title of host publication	Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011
Pages	426-429
Number of pages	4
DOIs	https://doi.org/10.1109/BMEI.2011.6098274
State	Published - 2011
Externally published	Yes
Event	2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011 - Shanghai, China Duration: 15 Oct 2011 → 17 Oct 2011

Publication series

Name	Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011
Volume	1

Conference

Conference	2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011
Country/Territory	China
City	Shanghai
Period	15/10/11 → 17/10/11

Keywords

EFOV
MPI
parallel algorithm
SIFT

Access to Document

10.1109/BMEI.2011.6098274

Cite this

Ding, R., Wu, J., & Huang, Q. (2011). Parallelism of extended-field-of-view sonography based on scale invariant feature transform. In Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011 (pp. 426-429). Article 6098274 (Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011; Vol. 1). https://doi.org/10.1109/BMEI.2011.6098274

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title = "Parallelism of extended-field-of-view sonography based on scale invariant feature transform",

abstract = "EFOV sonography can acquire a full field of vision, which can help doctors to make more objective and accurate diagnosis. This paper explores parallel implementation techniques for Extended-Field-of-View (EFOV) Sonography based on Scale Invariant Feature Transform (SIFT). In our method, the SIFT algorithm is used to more accurately register the images. Bidirectional matching algorithm is chosen to improve the accuracy of image registration. For real-time applications, we propose a parallel computing approach to speed up the generation of panorama. Based on the cluster of PCs, we erect a parallel computing platform and perform preliminary experiments. The results demonstrate the effectiveness of our approach by comparing to traditional methods.",

keywords = "EFOV, MPI, parallel algorithm, SIFT",

author = "Ruixin Ding and Junming Wu and Qinghua Huang",

year = "2011",

doi = "10.1109/BMEI.2011.6098274",

language = "英语",

isbn = "9781424493524",

series = "Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011",

pages = "426--429",

booktitle = "Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011",

note = "2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011 ; Conference date: 15-10-2011 Through 17-10-2011",

}

Ding, R, Wu, J & Huang, Q 2011, Parallelism of extended-field-of-view sonography based on scale invariant feature transform. in Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011., 6098274, Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011, vol. 1, pp. 426-429, 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011, Shanghai, China, 15/10/11. https://doi.org/10.1109/BMEI.2011.6098274

Parallelism of extended-field-of-view sonography based on scale invariant feature transform. / Ding, Ruixin; Wu, Junming; Huang, Qinghua.
Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011. 2011. p. 426-429 6098274 (Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - EFOV sonography can acquire a full field of vision, which can help doctors to make more objective and accurate diagnosis. This paper explores parallel implementation techniques for Extended-Field-of-View (EFOV) Sonography based on Scale Invariant Feature Transform (SIFT). In our method, the SIFT algorithm is used to more accurately register the images. Bidirectional matching algorithm is chosen to improve the accuracy of image registration. For real-time applications, we propose a parallel computing approach to speed up the generation of panorama. Based on the cluster of PCs, we erect a parallel computing platform and perform preliminary experiments. The results demonstrate the effectiveness of our approach by comparing to traditional methods.

AB - EFOV sonography can acquire a full field of vision, which can help doctors to make more objective and accurate diagnosis. This paper explores parallel implementation techniques for Extended-Field-of-View (EFOV) Sonography based on Scale Invariant Feature Transform (SIFT). In our method, the SIFT algorithm is used to more accurately register the images. Bidirectional matching algorithm is chosen to improve the accuracy of image registration. For real-time applications, we propose a parallel computing approach to speed up the generation of panorama. Based on the cluster of PCs, we erect a parallel computing platform and perform preliminary experiments. The results demonstrate the effectiveness of our approach by comparing to traditional methods.

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Ding R, Wu J, Huang Q. Parallelism of extended-field-of-view sonography based on scale invariant feature transform. In Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011. 2011. p. 426-429. 6098274. (Proceedings - 2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011). doi: 10.1109/BMEI.2011.6098274

Parallelism of extended-field-of-view sonography based on scale invariant feature transform

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