A tunable incremental factor algorithm in fundus indocyanine green angiogram registration and mosaicing

Yongjin Zhou; Mingxi Wan; Hui Xue

doi:10.1109/ICNNSP.2003.1281081

A tunable incremental factor algorithm in fundus indocyanine green angiogram registration and mosaicing

Yongjin Zhou
, Mingxi Wan
, Hui Xue

School of Life Science and Technology (SLST)

Xi'an Jiaotong University

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

Abstract

A tunable incremental factor is introduced to the inverse compositional image alignment method in registration of fundus blood vessel angiograms under confocal scanning laser ophthalmoscope, to build angiogram mosaics which have larger field of view without loss of resolution to assist diagnosis. The algorithm costs less iterations to converge usually and hardly causes degradation to the registration precision, mainly due to the favorable convexity of the normalized Sum of Squared Differences (SSD) function between the angiograms. The effectiveness and efficiency of the tunable incremental factor algorithm, as well as the convexity of the normalized SSD function, is exemplified in the experimental results on clinical indocyanine green angiograms.

Original language	English
Title of host publication	Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03
Pages	1185-1188
Number of pages	4
DOIs	https://doi.org/10.1109/ICNNSP.2003.1281081
State	Published - 2003
Event	2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03 - Nanjing, China Duration: 14 Dec 2003 → 17 Dec 2003

Publication series

Name	Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03
Volume	2

Conference

Conference	2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03
Country/Territory	China
City	Nanjing
Period	14/12/03 → 17/12/03

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10.1109/ICNNSP.2003.1281081

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Zhou, Y., Wan, M., & Xue, H. (2003). A tunable incremental factor algorithm in fundus indocyanine green angiogram registration and mosaicing. In Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03 (pp. 1185-1188). Article 1281081 (Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03; Vol. 2). https://doi.org/10.1109/ICNNSP.2003.1281081

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title = "A tunable incremental factor algorithm in fundus indocyanine green angiogram registration and mosaicing",

abstract = "A tunable incremental factor is introduced to the inverse compositional image alignment method in registration of fundus blood vessel angiograms under confocal scanning laser ophthalmoscope, to build angiogram mosaics which have larger field of view without loss of resolution to assist diagnosis. The algorithm costs less iterations to converge usually and hardly causes degradation to the registration precision, mainly due to the favorable convexity of the normalized Sum of Squared Differences (SSD) function between the angiograms. The effectiveness and efficiency of the tunable incremental factor algorithm, as well as the convexity of the normalized SSD function, is exemplified in the experimental results on clinical indocyanine green angiograms.",

author = "Yongjin Zhou and Mingxi Wan and Hui Xue",

year = "2003",

doi = "10.1109/ICNNSP.2003.1281081",

language = "英语",

isbn = "0780377028",

series = "Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03",

pages = "1185--1188",

booktitle = "Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03",

note = "2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03 ; Conference date: 14-12-2003 Through 17-12-2003",

}

Zhou, Y, Wan, M & Xue, H 2003, A tunable incremental factor algorithm in fundus indocyanine green angiogram registration and mosaicing. in Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03., 1281081, Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03, vol. 2, pp. 1185-1188, 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03, Nanjing, China, 14/12/03. https://doi.org/10.1109/ICNNSP.2003.1281081

A tunable incremental factor algorithm in fundus indocyanine green angiogram registration and mosaicing. / Zhou, Yongjin; Wan, Mingxi; Xue, Hui.
Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03. 2003. p. 1185-1188 1281081 (Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03; Vol. 2).

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

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N2 - A tunable incremental factor is introduced to the inverse compositional image alignment method in registration of fundus blood vessel angiograms under confocal scanning laser ophthalmoscope, to build angiogram mosaics which have larger field of view without loss of resolution to assist diagnosis. The algorithm costs less iterations to converge usually and hardly causes degradation to the registration precision, mainly due to the favorable convexity of the normalized Sum of Squared Differences (SSD) function between the angiograms. The effectiveness and efficiency of the tunable incremental factor algorithm, as well as the convexity of the normalized SSD function, is exemplified in the experimental results on clinical indocyanine green angiograms.

AB - A tunable incremental factor is introduced to the inverse compositional image alignment method in registration of fundus blood vessel angiograms under confocal scanning laser ophthalmoscope, to build angiogram mosaics which have larger field of view without loss of resolution to assist diagnosis. The algorithm costs less iterations to converge usually and hardly causes degradation to the registration precision, mainly due to the favorable convexity of the normalized Sum of Squared Differences (SSD) function between the angiograms. The effectiveness and efficiency of the tunable incremental factor algorithm, as well as the convexity of the normalized SSD function, is exemplified in the experimental results on clinical indocyanine green angiograms.

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BT - Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03

T2 - 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03

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Zhou Y, Wan M, Xue H. A tunable incremental factor algorithm in fundus indocyanine green angiogram registration and mosaicing. In Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03. 2003. p. 1185-1188. 1281081. (Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03). doi: 10.1109/ICNNSP.2003.1281081

A tunable incremental factor algorithm in fundus indocyanine green angiogram registration and mosaicing

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