Study on ultra-wideband multiple differential recursive imaging of stroke: A recursive brain imaging solution for stroke detection

Zekun Zhang; Heng Liu

doi:10.1145/3440067.3440074

Study on ultra-wideband multiple differential recursive imaging of stroke: A recursive brain imaging solution for stroke detection

Zekun Zhang, Heng Liu

School of Information and Electronics

Beijing Institute of Technology

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

1 Citation (Scopus)

Abstract

In stroke detection using ultra-wideband tomography, the structure of the skull and its reflection have always been a major factor affecting brain imaging accuracy. In this paper, we propose the Multiple Differential Recursive Imaging solution to eliminate the reflection by performing several forward problem analyses. The system is designed for operation at a single frequency of 1 GHz, and a 2-dimensional head model is developed for experimental analyzes. By experimental verification, the MDRI has a stable imaging capability on different bleeding sizes and numbers, and the images are properly reconstructed.

Original language	English
Title of host publication	Proceedings of 2020 7th International Conference on Bioinformatics Research and Applications, ICBRA 2020
Publisher	Association for Computing Machinery
Pages	34-38
Number of pages	5
ISBN (Electronic)	9781450388139
DOIs	https://doi.org/10.1145/3440067.3440074
Publication status	Published - 30 Sept 2020
Event	7th International Conference on Bioinformatics Research and Applications, ICBRA 2020 - Virtual, Online, Germany Duration: 13 Sept 2020 → 15 Sept 2020

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	7th International Conference on Bioinformatics Research and Applications, ICBRA 2020
Country/Territory	Germany
City	Virtual, Online
Period	13/09/20 → 15/09/20

Keywords

stroke imaging, reflection elimination, microwave imaging, iterative microwave tomographic imaging
UWB

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10.1145/3440067.3440074

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Zhang, Z., & Liu, H. (2020). Study on ultra-wideband multiple differential recursive imaging of stroke: A recursive brain imaging solution for stroke detection. In Proceedings of 2020 7th International Conference on Bioinformatics Research and Applications, ICBRA 2020 (pp. 34-38). Article 3440074 (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3440067.3440074

Zhang, Zekun ; Liu, Heng. / Study on ultra-wideband multiple differential recursive imaging of stroke : A recursive brain imaging solution for stroke detection. Proceedings of 2020 7th International Conference on Bioinformatics Research and Applications, ICBRA 2020. Association for Computing Machinery, 2020. pp. 34-38 (ACM International Conference Proceeding Series).

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title = "Study on ultra-wideband multiple differential recursive imaging of stroke: A recursive brain imaging solution for stroke detection",

abstract = "In stroke detection using ultra-wideband tomography, the structure of the skull and its reflection have always been a major factor affecting brain imaging accuracy. In this paper, we propose the Multiple Differential Recursive Imaging solution to eliminate the reflection by performing several forward problem analyses. The system is designed for operation at a single frequency of 1 GHz, and a 2-dimensional head model is developed for experimental analyzes. By experimental verification, the MDRI has a stable imaging capability on different bleeding sizes and numbers, and the images are properly reconstructed.",

keywords = "stroke imaging, reflection elimination, microwave imaging, iterative microwave tomographic imaging, UWB",

author = "Zekun Zhang and Heng Liu",

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year = "2020",

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doi = "10.1145/3440067.3440074",

language = "English",

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Zhang, Z & Liu, H 2020, Study on ultra-wideband multiple differential recursive imaging of stroke: A recursive brain imaging solution for stroke detection. in Proceedings of 2020 7th International Conference on Bioinformatics Research and Applications, ICBRA 2020., 3440074, ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 34-38, 7th International Conference on Bioinformatics Research and Applications, ICBRA 2020, Virtual, Online, Germany, 13/09/20. https://doi.org/10.1145/3440067.3440074

Study on ultra-wideband multiple differential recursive imaging of stroke: A recursive brain imaging solution for stroke detection. / Zhang, Zekun; Liu, Heng.
Proceedings of 2020 7th International Conference on Bioinformatics Research and Applications, ICBRA 2020. Association for Computing Machinery, 2020. p. 34-38 3440074 (ACM International Conference Proceeding Series).

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

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AB - In stroke detection using ultra-wideband tomography, the structure of the skull and its reflection have always been a major factor affecting brain imaging accuracy. In this paper, we propose the Multiple Differential Recursive Imaging solution to eliminate the reflection by performing several forward problem analyses. The system is designed for operation at a single frequency of 1 GHz, and a 2-dimensional head model is developed for experimental analyzes. By experimental verification, the MDRI has a stable imaging capability on different bleeding sizes and numbers, and the images are properly reconstructed.

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Zhang Z, Liu H. Study on ultra-wideband multiple differential recursive imaging of stroke: A recursive brain imaging solution for stroke detection. In Proceedings of 2020 7th International Conference on Bioinformatics Research and Applications, ICBRA 2020. Association for Computing Machinery. 2020. p. 34-38. 3440074. (ACM International Conference Proceeding Series). doi: 10.1145/3440067.3440074

Study on ultra-wideband multiple differential recursive imaging of stroke: A recursive brain imaging solution for stroke detection

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