Medical image matching using variable randomized undersampling probability pattern in data acquisition

Jinseong Jang; Tae Joon Eo; Minoh Kim; Narae Choi; Dongyup Han; Donghyun Kim; Dosik Hwang

doi:10.1109/ELINFOCOM.2014.6914453

Medical image matching using variable randomized undersampling probability pattern in data acquisition

Jinseong Jang, Tae Joon Eo, Minoh Kim, Narae Choi, Dongyup Han, Donghyun Kim, Dosik Hwang

Department of Electrical and Electronic Engineering

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

8 Citations (Scopus)

Abstract

This paper proposes a randomized variable probability pattern in under-sampling acquisition for medical image matching which is a method that can perform the quantitative analysis of tissue parameters. For high-speed estimation of tissue parameters, random under-sampling with less than the Nyquist rate in k-space is required. This study presents an accurate parameter mapping method for under-sampled data by using various randomized probability pattern. In comparison to the fixed probability pattern, the proposed method shows improved estimation results with reduced artifacts such as ghosting effects due to the undersampling scheme.

Original language	English
Title of host publication	13th International Conference on Electronics, Information, and Communication, ICEIC 2014 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479939428
DOIs	https://doi.org/10.1109/ELINFOCOM.2014.6914453
Publication status	Published - 2014 Sep 30
Event	13th International Conference on Electronics, Information, and Communication, ICEIC 2014 - Kota Kinabalu, Malaysia Duration: 2014 Jan 15 → 2014 Jan 18

Publication series

Name	13th International Conference on Electronics, Information, and Communication, ICEIC 2014 - Proceedings

Other

Other	13th International Conference on Electronics, Information, and Communication, ICEIC 2014
Country	Malaysia
City	Kota Kinabalu
Period	14/1/15 → 14/1/18

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/ELINFOCOM.2014.6914453

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Jang, J., Eo, T. J., Kim, M., Choi, N., Han, D., Kim, D., & Hwang, D. (2014). Medical image matching using variable randomized undersampling probability pattern in data acquisition. In 13th International Conference on Electronics, Information, and Communication, ICEIC 2014 - Proceedings [6914453] (13th International Conference on Electronics, Information, and Communication, ICEIC 2014 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ELINFOCOM.2014.6914453

Jang, Jinseong ; Eo, Tae Joon ; Kim, Minoh ; Choi, Narae ; Han, Dongyup ; Kim, Donghyun ; Hwang, Dosik. / Medical image matching using variable randomized undersampling probability pattern in data acquisition. 13th International Conference on Electronics, Information, and Communication, ICEIC 2014 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2014. (13th International Conference on Electronics, Information, and Communication, ICEIC 2014 - Proceedings).

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title = "Medical image matching using variable randomized undersampling probability pattern in data acquisition",

abstract = "This paper proposes a randomized variable probability pattern in under-sampling acquisition for medical image matching which is a method that can perform the quantitative analysis of tissue parameters. For high-speed estimation of tissue parameters, random under-sampling with less than the Nyquist rate in k-space is required. This study presents an accurate parameter mapping method for under-sampled data by using various randomized probability pattern. In comparison to the fixed probability pattern, the proposed method shows improved estimation results with reduced artifacts such as ghosting effects due to the undersampling scheme.",

author = "Jinseong Jang and Eo, {Tae Joon} and Minoh Kim and Narae Choi and Dongyup Han and Donghyun Kim and Dosik Hwang",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 13th International Conference on Electronics, Information, and Communication, ICEIC 2014 ; Conference date: 15-01-2014 Through 18-01-2014",

year = "2014",

month = sep,

day = "30",

doi = "10.1109/ELINFOCOM.2014.6914453",

language = "English",

series = "13th International Conference on Electronics, Information, and Communication, ICEIC 2014 - Proceedings",

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Jang, J, Eo, TJ, Kim, M, Choi, N, Han, D, Kim, D & Hwang, D 2014, Medical image matching using variable randomized undersampling probability pattern in data acquisition. in 13th International Conference on Electronics, Information, and Communication, ICEIC 2014 - Proceedings., 6914453, 13th International Conference on Electronics, Information, and Communication, ICEIC 2014 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 13th International Conference on Electronics, Information, and Communication, ICEIC 2014, Kota Kinabalu, Malaysia, 14/1/15. https://doi.org/10.1109/ELINFOCOM.2014.6914453

Medical image matching using variable randomized undersampling probability pattern in data acquisition. / Jang, Jinseong; Eo, Tae Joon; Kim, Minoh; Choi, Narae; Han, Dongyup; Kim, Donghyun ; Hwang, Dosik.

13th International Conference on Electronics, Information, and Communication, ICEIC 2014 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2014. 6914453 (13th International Conference on Electronics, Information, and Communication, ICEIC 2014 - Proceedings).

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

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T1 - Medical image matching using variable randomized undersampling probability pattern in data acquisition

AU - Jang, Jinseong

AU - Eo, Tae Joon

AU - Kim, Minoh

AU - Choi, Narae

AU - Han, Dongyup

AU - Kim, Donghyun

AU - Hwang, Dosik

PY - 2014/9/30

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N2 - This paper proposes a randomized variable probability pattern in under-sampling acquisition for medical image matching which is a method that can perform the quantitative analysis of tissue parameters. For high-speed estimation of tissue parameters, random under-sampling with less than the Nyquist rate in k-space is required. This study presents an accurate parameter mapping method for under-sampled data by using various randomized probability pattern. In comparison to the fixed probability pattern, the proposed method shows improved estimation results with reduced artifacts such as ghosting effects due to the undersampling scheme.

AB - This paper proposes a randomized variable probability pattern in under-sampling acquisition for medical image matching which is a method that can perform the quantitative analysis of tissue parameters. For high-speed estimation of tissue parameters, random under-sampling with less than the Nyquist rate in k-space is required. This study presents an accurate parameter mapping method for under-sampled data by using various randomized probability pattern. In comparison to the fixed probability pattern, the proposed method shows improved estimation results with reduced artifacts such as ghosting effects due to the undersampling scheme.

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DO - 10.1109/ELINFOCOM.2014.6914453

M3 - Conference contribution

AN - SCOPUS:84910028119

T3 - 13th International Conference on Electronics, Information, and Communication, ICEIC 2014 - Proceedings

BT - 13th International Conference on Electronics, Information, and Communication, ICEIC 2014 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

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Jang J, Eo TJ, Kim M, Choi N, Han D, Kim D et al. Medical image matching using variable randomized undersampling probability pattern in data acquisition. In 13th International Conference on Electronics, Information, and Communication, ICEIC 2014 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2014. 6914453. (13th International Conference on Electronics, Information, and Communication, ICEIC 2014 - Proceedings). https://doi.org/10.1109/ELINFOCOM.2014.6914453

Medical image matching using variable randomized undersampling probability pattern in data acquisition

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