Improved temporal resolution of twist imaging using annihilating filter-based low rank Hankel matrix approach

Eun Ju Cha; Kyong Hwan Jin; Dong Wook Lee; Eung Yeop Kim; Seung Hong Choi; Jong Chul Ye

doi:10.1109/ISBI.2016.7493272

Improved temporal resolution of twist imaging using annihilating filter-based low rank Hankel matrix approach

Eun Ju Cha
, Kyong Hwan Jin
, Dong Wook Lee
, Eung Yeop Kim
, Seung Hong Choi
, Jong Chul Ye

Department of Electrical Engineering and Computer Science

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

Abstract

Dynamic contrast enhanced (DCE) MRI is one of the important tools for diagnosis. In particular, time-resolved angiography with interleaved stochastic trajectories (TWIST) has been widely used thanks to the improved temporal and spatial resolution. However, the temporal resolution of TWIST is not a true one, because the periphery of k-space data from several time frames should be shared to produce one image. To address this issue, here we proposed a high performance low-rank k-space interpolation method that significantly improves the temporal resolution without sacrificing the image quality. The main idea of the proposed method is originated from the state-of-art MR reconstruction methods using annihilating filter-based low rank Hankel matrix approach (ALOHA). Experimental results using in-vivo data showed significantly improved temporal resolution compared with the standard reconstruction method.

Original language	English
Title of host publication	2016 IEEE International Symposium on Biomedical Imaging
Subtitle of host publication	From Nano to Macro, ISBI 2016 - Proceedings
Publisher	IEEE Computer Society
Pages	314-317
Number of pages	4
ISBN (Electronic)	9781479923502
DOIs	https://doi.org/10.1109/ISBI.2016.7493272
State	Published - 15 Jun 2016
Event	2016 IEEE 13th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Prague, Czech Republic Duration: 13 Apr 2016 → 16 Apr 2016

Publication series

Name	Proceedings - International Symposium on Biomedical Imaging
Volume	2016-June
ISSN (Print)	1945-7928
ISSN (Electronic)	1945-8452

Conference

Conference	2016 IEEE 13th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016
Country/Territory	Czech Republic
City	Prague
Period	13/04/16 → 16/04/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

DCE MRI
TWIST
compressed sensing
dynamic MRI
parallel imaging
temporal resolution

Access to Document

10.1109/ISBI.2016.7493272

Cite this

Cha, E. J., Jin, K. H., Lee, D. W., Kim, E. Y., Choi, S. H., & Ye, J. C. (2016). Improved temporal resolution of twist imaging using annihilating filter-based low rank Hankel matrix approach. In 2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Proceedings (pp. 314-317). Article 7493272 (Proceedings - International Symposium on Biomedical Imaging; Vol. 2016-June). IEEE Computer Society. https://doi.org/10.1109/ISBI.2016.7493272

Cha, Eun Ju ; Jin, Kyong Hwan ; Lee, Dong Wook et al. / Improved temporal resolution of twist imaging using annihilating filter-based low rank Hankel matrix approach. 2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Proceedings. IEEE Computer Society, 2016. pp. 314-317 (Proceedings - International Symposium on Biomedical Imaging).

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title = "Improved temporal resolution of twist imaging using annihilating filter-based low rank Hankel matrix approach",

abstract = "Dynamic contrast enhanced (DCE) MRI is one of the important tools for diagnosis. In particular, time-resolved angiography with interleaved stochastic trajectories (TWIST) has been widely used thanks to the improved temporal and spatial resolution. However, the temporal resolution of TWIST is not a true one, because the periphery of k-space data from several time frames should be shared to produce one image. To address this issue, here we proposed a high performance low-rank k-space interpolation method that significantly improves the temporal resolution without sacrificing the image quality. The main idea of the proposed method is originated from the state-of-art MR reconstruction methods using annihilating filter-based low rank Hankel matrix approach (ALOHA). Experimental results using in-vivo data showed significantly improved temporal resolution compared with the standard reconstruction method.",

keywords = "DCE MRI, TWIST, compressed sensing, dynamic MRI, parallel imaging, temporal resolution",

author = "Cha, \{Eun Ju\} and Jin, \{Kyong Hwan\} and Lee, \{Dong Wook\} and Kim, \{Eung Yeop\} and Choi, \{Seung Hong\} and Ye, \{Jong Chul\}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE 13th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 ; Conference date: 13-04-2016 Through 16-04-2016",

year = "2016",

month = jun,

day = "15",

doi = "10.1109/ISBI.2016.7493272",

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Cha, EJ, Jin, KH, Lee, DW, Kim, EY, Choi, SH & Ye, JC 2016, Improved temporal resolution of twist imaging using annihilating filter-based low rank Hankel matrix approach. in 2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Proceedings., 7493272, Proceedings - International Symposium on Biomedical Imaging, vol. 2016-June, IEEE Computer Society, pp. 314-317, 2016 IEEE 13th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016, Prague, Czech Republic, 13/04/16. https://doi.org/10.1109/ISBI.2016.7493272

Improved temporal resolution of twist imaging using annihilating filter-based low rank Hankel matrix approach. / Cha, Eun Ju; Jin, Kyong Hwan; Lee, Dong Wook et al.
2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Proceedings. IEEE Computer Society, 2016. p. 314-317 7493272 (Proceedings - International Symposium on Biomedical Imaging; Vol. 2016-June).

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

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AU - Cha, Eun Ju

AU - Jin, Kyong Hwan

AU - Lee, Dong Wook

AU - Kim, Eung Yeop

AU - Choi, Seung Hong

AU - Ye, Jong Chul

PY - 2016/6/15

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AB - Dynamic contrast enhanced (DCE) MRI is one of the important tools for diagnosis. In particular, time-resolved angiography with interleaved stochastic trajectories (TWIST) has been widely used thanks to the improved temporal and spatial resolution. However, the temporal resolution of TWIST is not a true one, because the periphery of k-space data from several time frames should be shared to produce one image. To address this issue, here we proposed a high performance low-rank k-space interpolation method that significantly improves the temporal resolution without sacrificing the image quality. The main idea of the proposed method is originated from the state-of-art MR reconstruction methods using annihilating filter-based low rank Hankel matrix approach (ALOHA). Experimental results using in-vivo data showed significantly improved temporal resolution compared with the standard reconstruction method.

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Cha EJ, Jin KH, Lee DW, Kim EY, Choi SH, Ye JC. Improved temporal resolution of twist imaging using annihilating filter-based low rank Hankel matrix approach. In 2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Proceedings. IEEE Computer Society. 2016. p. 314-317. 7493272. (Proceedings - International Symposium on Biomedical Imaging). doi: 10.1109/ISBI.2016.7493272

Improved temporal resolution of twist imaging using annihilating filter-based low rank Hankel matrix approach

Abstract

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Keywords

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