Multi-scale locally low-rank noise reduction for high-resolution dynamic quantitative cardiac MRI

Steen Moeller; Sebastian Weingartner; Mehmet Akcakaya

doi:10.1109/EMBC.2017.8037113

Multi-scale locally low-rank noise reduction for high-resolution dynamic quantitative cardiac MRI

Steen Moeller, Sebastian Weingartner, Mehmet Akcakaya

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

12 Scopus citations

Abstract

Evaluation of myocardial T₁ times is conventionally limited to a single temporal snapshot of the cardiac cycle, leaving the dependence between functional and tissue characterization unexplored. We recently proposed a technique that alleviates this limitation by acquiring dynamic quantitative myocardial T₁ maps. However, tradeoffs between temporal resolution, scan duration and SNR limit the spatial resolution. In this work, we propose a multi-scale locally low rank noise reduction approach without parameter-tuning to enable high acceleration rates in the acquisition, facilitating superior spatial and temporal resolutions in dynamic myocardial T₁ mapping.

Original language	English (US)
Title of host publication	2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Subtitle of host publication	Smarter Technology for a Healthier World, EMBC 2017 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1473-1476
Number of pages	4
ISBN (Electronic)	9781509028092
DOIs	https://doi.org/10.1109/EMBC.2017.8037113
State	Published - Sep 13 2017
Event	39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017 - Jeju Island, Korea, Republic of Duration: Jul 11 2017 → Jul 15 2017

Publication series

Name	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (Print)	1557-170X

Other

Other	39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017
Country/Territory	Korea, Republic of
City	Jeju Island
Period	7/11/17 → 7/15/17

Bibliographical note

Funding Information:
ACKNOWLEDGMENT This work was partially supported by NIH R00HL111410, NIH P41EB015894 and AFOSR.

Publisher Copyright:
© 2017 IEEE.

Access

10.1109/EMBC.2017.8037113

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6938225

OpenUrl availability

Full text

Cite this

Moeller, S., Weingartner, S., & Akcakaya, M. (2017). Multi-scale locally low-rank noise reduction for high-resolution dynamic quantitative cardiac MRI. In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings (pp. 1473-1476). Article 8037113 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2017.8037113

Multi-scale locally low-rank noise reduction for high-resolution dynamic quantitative cardiac MRI. / Moeller, Steen; Weingartner, Sebastian; Akcakaya, Mehmet.
2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1473-1476 8037113 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

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

Moeller, S, Weingartner, S & Akcakaya, M 2017, Multi-scale locally low-rank noise reduction for high-resolution dynamic quantitative cardiac MRI. in 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings., 8037113, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, Institute of Electrical and Electronics Engineers Inc., pp. 1473-1476, 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017, Jeju Island, Korea, Republic of, 7/11/17. https://doi.org/10.1109/EMBC.2017.8037113

Moeller S, Weingartner S, Akcakaya M. Multi-scale locally low-rank noise reduction for high-resolution dynamic quantitative cardiac MRI. In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1473-1476. 8037113. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). doi: 10.1109/EMBC.2017.8037113

Moeller, Steen ; Weingartner, Sebastian ; Akcakaya, Mehmet. / Multi-scale locally low-rank noise reduction for high-resolution dynamic quantitative cardiac MRI. 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Smarter Technology for a Healthier World, EMBC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 1473-1476 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

@inproceedings{bcd67301476c40099be5a6c3e5aa06e6,

title = "Multi-scale locally low-rank noise reduction for high-resolution dynamic quantitative cardiac MRI",

abstract = "Evaluation of myocardial T1 times is conventionally limited to a single temporal snapshot of the cardiac cycle, leaving the dependence between functional and tissue characterization unexplored. We recently proposed a technique that alleviates this limitation by acquiring dynamic quantitative myocardial T1 maps. However, tradeoffs between temporal resolution, scan duration and SNR limit the spatial resolution. In this work, we propose a multi-scale locally low rank noise reduction approach without parameter-tuning to enable high acceleration rates in the acquisition, facilitating superior spatial and temporal resolutions in dynamic myocardial T1 mapping.",

author = "Steen Moeller and Sebastian Weingartner and Mehmet Akcakaya",

note = "Funding Information: ACKNOWLEDGMENT This work was partially supported by NIH R00HL111410, NIH P41EB015894 and AFOSR. Publisher Copyright: {\textcopyright} 2017 IEEE.; 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017 ; Conference date: 11-07-2017 Through 15-07-2017",

year = "2017",

month = sep,

day = "13",

doi = "10.1109/EMBC.2017.8037113",

language = "English (US)",

series = "Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS",

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

pages = "1473--1476",

booktitle = "2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society",

}

TY - GEN

T1 - Multi-scale locally low-rank noise reduction for high-resolution dynamic quantitative cardiac MRI

AU - Moeller, Steen

AU - Weingartner, Sebastian

AU - Akcakaya, Mehmet

PY - 2017/9/13

Y1 - 2017/9/13

N2 - Evaluation of myocardial T1 times is conventionally limited to a single temporal snapshot of the cardiac cycle, leaving the dependence between functional and tissue characterization unexplored. We recently proposed a technique that alleviates this limitation by acquiring dynamic quantitative myocardial T1 maps. However, tradeoffs between temporal resolution, scan duration and SNR limit the spatial resolution. In this work, we propose a multi-scale locally low rank noise reduction approach without parameter-tuning to enable high acceleration rates in the acquisition, facilitating superior spatial and temporal resolutions in dynamic myocardial T1 mapping.

AB - Evaluation of myocardial T1 times is conventionally limited to a single temporal snapshot of the cardiac cycle, leaving the dependence between functional and tissue characterization unexplored. We recently proposed a technique that alleviates this limitation by acquiring dynamic quantitative myocardial T1 maps. However, tradeoffs between temporal resolution, scan duration and SNR limit the spatial resolution. In this work, we propose a multi-scale locally low rank noise reduction approach without parameter-tuning to enable high acceleration rates in the acquisition, facilitating superior spatial and temporal resolutions in dynamic myocardial T1 mapping.

UR - http://www.scopus.com/inward/record.url?scp=85032216393&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85032216393&partnerID=8YFLogxK

U2 - 10.1109/EMBC.2017.8037113

DO - 10.1109/EMBC.2017.8037113

M3 - Conference contribution

C2 - 29060157

AN - SCOPUS:85032216393

T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

SP - 1473

EP - 1476

BT - 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2017

Y2 - 11 July 2017 through 15 July 2017

ER -

Multi-scale locally low-rank noise reduction for high-resolution dynamic quantitative cardiac MRI

Abstract

Publication series

Other

Bibliographical note

Access

OpenUrl availability

Other files and links

Fingerprint

Cite this