A Unifying model of perfusion and motion applied to reconstruction of sparsely sampled free-breathing myocardial perfusion MRI

Henrik Pedersen; Hildur Ólafsdóttir; Rasmus Larsen; Henrik B. W. Larsson

doi:10.1109/ISBI.2010.5490065

A Unifying model of perfusion and motion applied to reconstruction of sparsely sampled free-breathing myocardial perfusion MRI

Henrik Pedersen, Hildur Ólafsdóttir, Rasmus Larsen, Henrik B. W. Larsson

Copenhagen University Hospital Herlev and Gentofte

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

Abstract

The clinical potential of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is currently limited by respiratory induced motion of the heart. This paper presents a unifying model of perfusion and motion in which respiratory motion becomes an integral part of myocardial perfusion quantification. Hence, the need for tedious manual motion correction prior to perfusion quantification is avoided. In addition, we demonstrate that the proposed framework facilitates the process of reconstructing DCEMRI from sparsely sampled data in the presence of respiratory motion. The paper focuses primarily on the underlying theory of the proposed framework, but shows in vivo results of respiratory motion correction and simulation results of reconstructing sparsely sampled data.

Original language	English
Title of host publication	Proceedings of IEEE International Symposium on Biomedical Imaging : From Nano to Macro
Publisher	IEEE
Publication date	2010
Pages	752-755
ISBN (Print)	978-1-4244-4125-9
DOIs	https://doi.org/10.1109/ISBI.2010.5490065
Publication status	Published - 2010
Event	2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Rotterdam, Netherlands Duration: 14 Apr 2010 → 17 Apr 2010 Conference number: 7 http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=5481762

Conference

Conference	2010 IEEE International Symposium on Biomedical Imaging
Number	7
Country/Territory	Netherlands
City	Rotterdam
Period	14/04/2010 → 17/04/2010
Internet address	http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=5481762

Access to Document

10.1109/ISBI.2010.5490065

OpenUrl availability

Full text

Cite this

@inproceedings{51dff0bda27440948d6dba494ba738e4,

title = "A Unifying model of perfusion and motion applied to reconstruction of sparsely sampled free-breathing myocardial perfusion MRI",

abstract = "The clinical potential of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is currently limited by respiratory induced motion of the heart. This paper presents a unifying model of perfusion and motion in which respiratory motion becomes an integral part of myocardial perfusion quantification. Hence, the need for tedious manual motion correction prior to perfusion quantification is avoided. In addition, we demonstrate that the proposed framework facilitates the process of reconstructing DCEMRI from sparsely sampled data in the presence of respiratory motion. The paper focuses primarily on the underlying theory of the proposed framework, but shows in vivo results of respiratory motion correction and simulation results of reconstructing sparsely sampled data.",

author = "Henrik Pedersen and Hildur {\'O}lafsd{\'o}ttir and Rasmus Larsen and Larsson, {Henrik B. W.}",

year = "2010",

doi = "10.1109/ISBI.2010.5490065",

language = "English",

isbn = "978-1-4244-4125-9",

pages = "752--755",

booktitle = "Proceedings of IEEE International Symposium on Biomedical Imaging",

publisher = "IEEE",

address = "United States",

note = "2010 IEEE International Symposium on Biomedical Imaging : From Nano to Macro, ISBI 2010 ; Conference date: 14-04-2010 Through 17-04-2010",

url = "http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=5481762",

}

Pedersen, H, Ólafsdóttir, H, Larsen, R & Larsson, HBW 2010, A Unifying model of perfusion and motion applied to reconstruction of sparsely sampled free-breathing myocardial perfusion MRI. in Proceedings of IEEE International Symposium on Biomedical Imaging: From Nano to Macro. IEEE, pp. 752-755, 2010 IEEE International Symposium on Biomedical Imaging, Rotterdam, Netherlands, 14/04/2010. https://doi.org/10.1109/ISBI.2010.5490065

A Unifying model of perfusion and motion applied to reconstruction of sparsely sampled free-breathing myocardial perfusion MRI. / Pedersen, Henrik; Ólafsdóttir, Hildur; Larsen, Rasmus et al.
Proceedings of IEEE International Symposium on Biomedical Imaging: From Nano to Macro. IEEE, 2010. p. 752-755.

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

TY - GEN

T1 - A Unifying model of perfusion and motion applied to reconstruction of sparsely sampled free-breathing myocardial perfusion MRI

AU - Pedersen, Henrik

AU - Ólafsdóttir, Hildur

AU - Larsen, Rasmus

AU - Larsson, Henrik B. W.

N1 - Conference code: 7

PY - 2010

Y1 - 2010

N2 - The clinical potential of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is currently limited by respiratory induced motion of the heart. This paper presents a unifying model of perfusion and motion in which respiratory motion becomes an integral part of myocardial perfusion quantification. Hence, the need for tedious manual motion correction prior to perfusion quantification is avoided. In addition, we demonstrate that the proposed framework facilitates the process of reconstructing DCEMRI from sparsely sampled data in the presence of respiratory motion. The paper focuses primarily on the underlying theory of the proposed framework, but shows in vivo results of respiratory motion correction and simulation results of reconstructing sparsely sampled data.

AB - The clinical potential of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is currently limited by respiratory induced motion of the heart. This paper presents a unifying model of perfusion and motion in which respiratory motion becomes an integral part of myocardial perfusion quantification. Hence, the need for tedious manual motion correction prior to perfusion quantification is avoided. In addition, we demonstrate that the proposed framework facilitates the process of reconstructing DCEMRI from sparsely sampled data in the presence of respiratory motion. The paper focuses primarily on the underlying theory of the proposed framework, but shows in vivo results of respiratory motion correction and simulation results of reconstructing sparsely sampled data.

U2 - 10.1109/ISBI.2010.5490065

DO - 10.1109/ISBI.2010.5490065

M3 - Article in proceedings

SN - 978-1-4244-4125-9

SP - 752

EP - 755

BT - Proceedings of IEEE International Symposium on Biomedical Imaging

PB - IEEE

T2 - 2010 IEEE International Symposium on Biomedical Imaging

Y2 - 14 April 2010 through 17 April 2010

ER -

A Unifying model of perfusion and motion applied to reconstruction of sparsely sampled free-breathing myocardial perfusion MRI

Abstract

Conference

Access to Document

OpenUrl availability

Fingerprint

Cite this