T2 prime mapping from highly undersampled data using compressed sensing with patch based low rank penalty

Dongwook Lee; Eung Yeop Kim; Huisu Yoon; Sunghong Park; Jong Chul Ye

doi:10.1109/isbi.2014.6867953

T2 prime mapping from highly undersampled data using compressed sensing with patch based low rank penalty

Dongwook Lee, Eung Yeop Kim, Huisu Yoon, Sunghong Park, Jong Chul Ye

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

2 Scopus citations

Abstract

In magnetic resonance (MR) imaging, T2 and T2 star (T2^∗) relaxation times represent tissue properties, which can be quantified by specific imaging sequences. Especially, T2 prime (T2′) that can be derived from T2 and T2^∗ are clinically valuable for delineation of areas with increased oxygen extraction fraction in acute stroke. However, there are limitations in this method because it requires acquisition of many images for the generation of T2 and T2^∗ relaxation time maps. In particular, time saving is the most important factor in acquisition of MRI in acute ischemic stroke because therapy should be given to patients as soon as possible. Therefore, to reduce the acquisition time of MR data, we use a compressed sensing algorithm using patch based low rank penalty for the reconstruction of T2 and T2^∗ weighted images to obtain the T2 prime map. Our results showed that significant acceleration in T2′ image acquisition is possible using the proposed method.

Original language	English
Title of host publication	2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	645-648
Number of pages	4
ISBN (Electronic)	9781467319591
DOIs	https://doi.org/10.1109/isbi.2014.6867953
State	Published - 29 Jul 2014
Externally published	Yes
Event	2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014 - Beijing, China Duration: 29 Apr 2014 → 2 May 2014

Publication series

Name	2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014

Conference

Conference	2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
Country/Territory	China
City	Beijing
Period	29/04/14 → 2/05/14

Keywords

Acute stroke
Compressive sensing
Dynamic MRI
K-t FOCUSS
Low rank
Patch
T2′

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/isbi.2014.6867953

Cite this

Lee, D., Kim, E. Y., Yoon, H., Park, S., & Ye, J. C. (2014). T2 prime mapping from highly undersampled data using compressed sensing with patch based low rank penalty. In 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014 (pp. 645-648). Article 6867953 (2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/isbi.2014.6867953

Lee, Dongwook ; Kim, Eung Yeop ; Yoon, Huisu et al. / T2 prime mapping from highly undersampled data using compressed sensing with patch based low rank penalty. 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 645-648 (2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014).

@inproceedings{2e2e204cf1d74facbf79affc8c6c07a8,

title = "T2 prime mapping from highly undersampled data using compressed sensing with patch based low rank penalty",

abstract = "In magnetic resonance (MR) imaging, T2 and T2 star (T2∗) relaxation times represent tissue properties, which can be quantified by specific imaging sequences. Especially, T2 prime (T2′) that can be derived from T2 and T2∗ are clinically valuable for delineation of areas with increased oxygen extraction fraction in acute stroke. However, there are limitations in this method because it requires acquisition of many images for the generation of T2 and T2∗ relaxation time maps. In particular, time saving is the most important factor in acquisition of MRI in acute ischemic stroke because therapy should be given to patients as soon as possible. Therefore, to reduce the acquisition time of MR data, we use a compressed sensing algorithm using patch based low rank penalty for the reconstruction of T2 and T2∗ weighted images to obtain the T2 prime map. Our results showed that significant acceleration in T2′ image acquisition is possible using the proposed method.",

keywords = "Acute stroke, Compressive sensing, Dynamic MRI, K-t FOCUSS, Low rank, Patch, T2′",

author = "Dongwook Lee and Kim, \{Eung Yeop\} and Huisu Yoon and Sunghong Park and Ye, \{Jong Chul\}",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014 ; Conference date: 29-04-2014 Through 02-05-2014",

year = "2014",

month = jul,

day = "29",

doi = "10.1109/isbi.2014.6867953",

language = "English",

series = "2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "645--648",

booktitle = "2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014",

}

Lee, D, Kim, EY, Yoon, H, Park, S & Ye, JC 2014, T2 prime mapping from highly undersampled data using compressed sensing with patch based low rank penalty. in 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014., 6867953, 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014, Institute of Electrical and Electronics Engineers Inc., pp. 645-648, 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014, Beijing, China, 29/04/14. https://doi.org/10.1109/isbi.2014.6867953

T2 prime mapping from highly undersampled data using compressed sensing with patch based low rank penalty. / Lee, Dongwook; Kim, Eung Yeop; Yoon, Huisu et al.
2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 645-648 6867953 (2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014).

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

TY - GEN

T1 - T2 prime mapping from highly undersampled data using compressed sensing with patch based low rank penalty

AU - Lee, Dongwook

AU - Kim, Eung Yeop

AU - Yoon, Huisu

AU - Park, Sunghong

AU - Ye, Jong Chul

PY - 2014/7/29

Y1 - 2014/7/29

N2 - In magnetic resonance (MR) imaging, T2 and T2 star (T2∗) relaxation times represent tissue properties, which can be quantified by specific imaging sequences. Especially, T2 prime (T2′) that can be derived from T2 and T2∗ are clinically valuable for delineation of areas with increased oxygen extraction fraction in acute stroke. However, there are limitations in this method because it requires acquisition of many images for the generation of T2 and T2∗ relaxation time maps. In particular, time saving is the most important factor in acquisition of MRI in acute ischemic stroke because therapy should be given to patients as soon as possible. Therefore, to reduce the acquisition time of MR data, we use a compressed sensing algorithm using patch based low rank penalty for the reconstruction of T2 and T2∗ weighted images to obtain the T2 prime map. Our results showed that significant acceleration in T2′ image acquisition is possible using the proposed method.

AB - In magnetic resonance (MR) imaging, T2 and T2 star (T2∗) relaxation times represent tissue properties, which can be quantified by specific imaging sequences. Especially, T2 prime (T2′) that can be derived from T2 and T2∗ are clinically valuable for delineation of areas with increased oxygen extraction fraction in acute stroke. However, there are limitations in this method because it requires acquisition of many images for the generation of T2 and T2∗ relaxation time maps. In particular, time saving is the most important factor in acquisition of MRI in acute ischemic stroke because therapy should be given to patients as soon as possible. Therefore, to reduce the acquisition time of MR data, we use a compressed sensing algorithm using patch based low rank penalty for the reconstruction of T2 and T2∗ weighted images to obtain the T2 prime map. Our results showed that significant acceleration in T2′ image acquisition is possible using the proposed method.

KW - Acute stroke

KW - Compressive sensing

KW - Dynamic MRI

KW - K-t FOCUSS

KW - Low rank

KW - Patch

KW - T2′

UR - https://www.scopus.com/pages/publications/84927940118

U2 - 10.1109/isbi.2014.6867953

DO - 10.1109/isbi.2014.6867953

M3 - Conference contribution

AN - SCOPUS:84927940118

T3 - 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014

SP - 645

EP - 648

BT - 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014

Y2 - 29 April 2014 through 2 May 2014

ER -

Lee D, Kim EY, Yoon H, Park S, Ye JC. T2 prime mapping from highly undersampled data using compressed sensing with patch based low rank penalty. In 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 645-648. 6867953. (2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014). doi: 10.1109/isbi.2014.6867953

T2 prime mapping from highly undersampled data using compressed sensing with patch based low rank penalty

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this