The application of ICA to the X-ray digital subtraction angiography

Songyuan Tang; Yongtian Wang; Yen Wei Chen

doi:10.1007/978-3-540-72393-6_116

The application of ICA to the X-ray digital subtraction angiography

Songyuan Tang^*
, Yongtian Wang
, Yen Wei Chen

^*此作品的通讯作者

光电学院

Ritsumeikan University

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

The traditional enhancement of X-ray digital subtraction angiography (DSA) is to subtract the mask image and living image so as to remove the background such as ribs, spine, cathers, organs and etc, and obtain the enhanced vessel trees. However, the DSA have serious motion artifacts, poor local contrast and noises, when subtraction technique is used, some tiny vessels are broken, and even disappeared when visualized. To attack the problem, we use independent component analysis instead of subtraction technique. This technique is proved to be very efficient to enhance vessels. Experimental results of simulated data and several clinical data show that the proposed method is robust and can obtain good vessel trees.

源语言	英语
主期刊名	Advances in Neural Networks - ISNN 2007 - 4th International Symposium on Neural Networks, ISNN 2007, Proceedings
出版商	Springer Verlag
页	979-984
页数	6
版本	PART 2
ISBN（印刷版）	9783540723929
DOI	https://doi.org/10.1007/978-3-540-72393-6_116
出版状态	已出版 - 2007
活动	4th International Symposium on Neural Networks, ISNN 2007 - Nanjing, 中国期限: 3 6月 2007 → 7 6月 2007

出版系列

姓名	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
编号	PART 2
卷	4492 LNCS
ISSN（印刷版）	0302-9743
ISSN（电子版）	1611-3349

会议

会议	4th International Symposium on Neural Networks, ISNN 2007
国家/地区	中国
市	Nanjing
时期	3/06/07 → 7/06/07

访问文件

10.1007/978-3-540-72393-6_116

其它文件与链接

链接到 Scopus 的出版物

引用此

Tang, S., Wang, Y., & Chen, Y. W. (2007). The application of ICA to the X-ray digital subtraction angiography. 在 Advances in Neural Networks - ISNN 2007 - 4th International Symposium on Neural Networks, ISNN 2007, Proceedings (PART 2 编辑, 页码 979-984). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 4492 LNCS, 号码 PART 2). Springer Verlag. https://doi.org/10.1007/978-3-540-72393-6_116

Tang, Songyuan ; Wang, Yongtian ; Chen, Yen Wei. / The application of ICA to the X-ray digital subtraction angiography. Advances in Neural Networks - ISNN 2007 - 4th International Symposium on Neural Networks, ISNN 2007, Proceedings. PART 2. 编辑 Springer Verlag, 2007. 页码 979-984 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

@inproceedings{01783d25cff945fcb75b33b7e25b7359,

title = "The application of ICA to the X-ray digital subtraction angiography",

abstract = "The traditional enhancement of X-ray digital subtraction angiography (DSA) is to subtract the mask image and living image so as to remove the background such as ribs, spine, cathers, organs and etc, and obtain the enhanced vessel trees. However, the DSA have serious motion artifacts, poor local contrast and noises, when subtraction technique is used, some tiny vessels are broken, and even disappeared when visualized. To attack the problem, we use independent component analysis instead of subtraction technique. This technique is proved to be very efficient to enhance vessels. Experimental results of simulated data and several clinical data show that the proposed method is robust and can obtain good vessel trees.",

author = "Songyuan Tang and Yongtian Wang and Chen, \{Yen Wei\}",

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booktitle = "Advances in Neural Networks - ISNN 2007 - 4th International Symposium on Neural Networks, ISNN 2007, Proceedings",

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note = "4th International Symposium on Neural Networks, ISNN 2007 ; Conference date: 03-06-2007 Through 07-06-2007",

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Tang, S, Wang, Y & Chen, YW 2007, The application of ICA to the X-ray digital subtraction angiography. 在 Advances in Neural Networks - ISNN 2007 - 4th International Symposium on Neural Networks, ISNN 2007, Proceedings. PART 2 编辑, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 号码 PART 2, 卷 4492 LNCS, Springer Verlag, 页码 979-984, 4th International Symposium on Neural Networks, ISNN 2007, Nanjing, 中国, 3/06/07. https://doi.org/10.1007/978-3-540-72393-6_116

The application of ICA to the X-ray digital subtraction angiography. / Tang, Songyuan; Wang, Yongtian; Chen, Yen Wei.
Advances in Neural Networks - ISNN 2007 - 4th International Symposium on Neural Networks, ISNN 2007, Proceedings. PART 2. 编辑 Springer Verlag, 2007. 页码 979-984 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 4492 LNCS, 号码 PART 2).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

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AU - Wang, Yongtian

AU - Chen, Yen Wei

PY - 2007

Y1 - 2007

N2 - The traditional enhancement of X-ray digital subtraction angiography (DSA) is to subtract the mask image and living image so as to remove the background such as ribs, spine, cathers, organs and etc, and obtain the enhanced vessel trees. However, the DSA have serious motion artifacts, poor local contrast and noises, when subtraction technique is used, some tiny vessels are broken, and even disappeared when visualized. To attack the problem, we use independent component analysis instead of subtraction technique. This technique is proved to be very efficient to enhance vessels. Experimental results of simulated data and several clinical data show that the proposed method is robust and can obtain good vessel trees.

AB - The traditional enhancement of X-ray digital subtraction angiography (DSA) is to subtract the mask image and living image so as to remove the background such as ribs, spine, cathers, organs and etc, and obtain the enhanced vessel trees. However, the DSA have serious motion artifacts, poor local contrast and noises, when subtraction technique is used, some tiny vessels are broken, and even disappeared when visualized. To attack the problem, we use independent component analysis instead of subtraction technique. This technique is proved to be very efficient to enhance vessels. Experimental results of simulated data and several clinical data show that the proposed method is robust and can obtain good vessel trees.

UR - https://www.scopus.com/pages/publications/37249085662

U2 - 10.1007/978-3-540-72393-6_116

DO - 10.1007/978-3-540-72393-6_116

M3 - Conference contribution

AN - SCOPUS:37249085662

SN - 9783540723929

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Advances in Neural Networks - ISNN 2007 - 4th International Symposium on Neural Networks, ISNN 2007, Proceedings

PB - Springer Verlag

T2 - 4th International Symposium on Neural Networks, ISNN 2007

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ER -

Tang S, Wang Y, Chen YW. The application of ICA to the X-ray digital subtraction angiography. 在 Advances in Neural Networks - ISNN 2007 - 4th International Symposium on Neural Networks, ISNN 2007, Proceedings. PART 2 编辑 Springer Verlag. 2007. 页码 979-984. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-540-72393-6_116

The application of ICA to the X-ray digital subtraction angiography

摘要

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