Direct myocardial strain assessment from frequency estimation in tagging MRI

Hanne B. Kause; Olena G. Filatova; Remco Duits; L. C. Mark Bruurmijn; Andrea Fuster; Jos J. M. Westenberg; Luc Florack; Hans C. van Assen

doi:10.1007/978-3-642-54268-8_25

Direct myocardial strain assessment from frequency estimation in tagging MRI

Hanne B. Kause, Olena G. Filatova, Remco Duits, L. C. Mark Bruurmijn, Andrea Fuster, Jos J. M. Westenberg, Luc Florack, Hans C. van Assen

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

3 Citations (Scopus)

4 Downloads (Pure)

Abstract

We propose a new method to analyse deformation of the cardiac left ventricular wall from tagging magnetic resonance images. The method exploits the fact that the time-dependent frequency covector field representing the tag pattern is tightly coupled to the myocardial deformation and not affected by tag fading. Deformation and strain tensor fields can be retrieved from local frequency estimates given at least n (independent) tagging sequences, where n denotes spatial dimension. Our method does not require knowledge of material motion or tag line extraction. We consider the conventional case of two tag directions, as well as the overdetermined case of four tag directions, which improves robustness. Additional scan time can be prevented by using one or two grid patterns consisting of multiple, simultaneously acquired tag directions. This concept is demonstrated on patient data. Tracking errors obtained for phantom data are smaller than those obtained by HARP, 0.32±0.14 px versus 0.53±0.07 px. Strain results for volunteers are compared with corresponding linearised strain fields derived from HARP.

Original language	English
Title of host publication	Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges (4th International Workshop, STACOM'13, held in conjunction with MICCAI'13, Nagoya, Japan, September 26, 2013. Revised Selected Papers)
Editors	O. Camara, T. Mansi, M. Pop, K. Rhode, M. Sermesant, A. Young
Place of Publication	Berlin
Publisher	Springer
Pages	212-219
Number of pages	8
ISBN (Print)	978-3-642-54267-1
DOIs	https://doi.org/10.1007/978-3-642-54268-8_25
Publication status	Published - 2014
Event	4th International Workshop on Statistical Atlases and Computational Models of the Heart (STACOM 2013) - Nagoya, Japan Duration: 26 Sept 2013 → 26 Sept 2013

Publication series

Name	Lecture Notes in Computer Science
Volume	8330
ISSN (Print)	0302-9743

Conference

Conference	4th International Workshop on Statistical Atlases and Computational Models of the Heart (STACOM 2013)
Abbreviated title	STACOM 2013
Country/Territory	Japan
City	Nagoya
Period	26/09/13 → 26/09/13
Other	Workshop held in conjunction with the 16th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2013)

Access to Document

10.1007/978-3-642-54268-8_25

Cite this

Kause, H. B., Filatova, O. G., Duits, R., Bruurmijn, L. C. M., Fuster, A., Westenberg, J. J. M., Florack, L., & Assen, H. C. V. (2014). Direct myocardial strain assessment from frequency estimation in tagging MRI. In O. Camara, T. Mansi, M. Pop, K. Rhode, M. Sermesant, & A. Young (Eds.), Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges (4th International Workshop, STACOM'13, held in conjunction with MICCAI'13, Nagoya, Japan, September 26, 2013. Revised Selected Papers) (pp. 212-219). (Lecture Notes in Computer Science; Vol. 8330). Springer. https://doi.org/10.1007/978-3-642-54268-8_25

Kause, Hanne B. ; Filatova, Olena G. ; Duits, Remco et al. / Direct myocardial strain assessment from frequency estimation in tagging MRI. Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges (4th International Workshop, STACOM'13, held in conjunction with MICCAI'13, Nagoya, Japan, September 26, 2013. Revised Selected Papers). editor / O. Camara ; T. Mansi ; M. Pop ; K. Rhode ; M. Sermesant ; A. Young. Berlin : Springer, 2014. pp. 212-219 (Lecture Notes in Computer Science).

@inproceedings{fb4afa8457714b89ba190bed9b83faba,

title = "Direct myocardial strain assessment from frequency estimation in tagging MRI",

abstract = "We propose a new method to analyse deformation of the cardiac left ventricular wall from tagging magnetic resonance images. The method exploits the fact that the time-dependent frequency covector field representing the tag pattern is tightly coupled to the myocardial deformation and not affected by tag fading. Deformation and strain tensor fields can be retrieved from local frequency estimates given at least n (independent) tagging sequences, where n denotes spatial dimension. Our method does not require knowledge of material motion or tag line extraction. We consider the conventional case of two tag directions, as well as the overdetermined case of four tag directions, which improves robustness. Additional scan time can be prevented by using one or two grid patterns consisting of multiple, simultaneously acquired tag directions. This concept is demonstrated on patient data. Tracking errors obtained for phantom data are smaller than those obtained by HARP, 0.32±0.14 px versus 0.53±0.07 px. Strain results for volunteers are compared with corresponding linearised strain fields derived from HARP.",

author = "Kause, {Hanne B.} and Filatova, {Olena G.} and Remco Duits and Bruurmijn, {L. C. Mark} and Andrea Fuster and Westenberg, {Jos J. M.} and Luc Florack and Assen, {Hans C. van}",

year = "2014",

doi = "10.1007/978-3-642-54268-8_25",

language = "English",

isbn = "978-3-642-54267-1",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

pages = "212--219",

editor = "O. Camara and T. Mansi and M. Pop and K. Rhode and M. Sermesant and A. Young",

booktitle = "Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges (4th International Workshop, STACOM'13, held in conjunction with MICCAI'13, Nagoya, Japan, September 26, 2013. Revised Selected Papers)",

address = "Germany",

note = "4th International Workshop on Statistical Atlases and Computational Models of the Heart (STACOM 2013), STACOM 2013 ; Conference date: 26-09-2013 Through 26-09-2013",

}

Kause, HB, Filatova, OG, Duits, R, Bruurmijn, LCM, Fuster, A, Westenberg, JJM, Florack, L & Assen, HCV 2014, Direct myocardial strain assessment from frequency estimation in tagging MRI. in O Camara, T Mansi, M Pop, K Rhode, M Sermesant & A Young (eds), Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges (4th International Workshop, STACOM'13, held in conjunction with MICCAI'13, Nagoya, Japan, September 26, 2013. Revised Selected Papers). Lecture Notes in Computer Science, vol. 8330, Springer, Berlin, pp. 212-219, 4th International Workshop on Statistical Atlases and Computational Models of the Heart (STACOM 2013), Nagoya, Japan, 26/09/13. https://doi.org/10.1007/978-3-642-54268-8_25

Direct myocardial strain assessment from frequency estimation in tagging MRI. / Kause, Hanne B.; Filatova, Olena G.; Duits, Remco et al.
Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges (4th International Workshop, STACOM'13, held in conjunction with MICCAI'13, Nagoya, Japan, September 26, 2013. Revised Selected Papers). ed. / O. Camara; T. Mansi; M. Pop; K. Rhode; M. Sermesant; A. Young. Berlin: Springer, 2014. p. 212-219 (Lecture Notes in Computer Science; Vol. 8330).

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

TY - GEN

T1 - Direct myocardial strain assessment from frequency estimation in tagging MRI

AU - Kause, Hanne B.

AU - Filatova, Olena G.

AU - Duits, Remco

AU - Bruurmijn, L. C. Mark

AU - Fuster, Andrea

AU - Westenberg, Jos J. M.

AU - Florack, Luc

AU - Assen, Hans C. van

PY - 2014

Y1 - 2014

N2 - We propose a new method to analyse deformation of the cardiac left ventricular wall from tagging magnetic resonance images. The method exploits the fact that the time-dependent frequency covector field representing the tag pattern is tightly coupled to the myocardial deformation and not affected by tag fading. Deformation and strain tensor fields can be retrieved from local frequency estimates given at least n (independent) tagging sequences, where n denotes spatial dimension. Our method does not require knowledge of material motion or tag line extraction. We consider the conventional case of two tag directions, as well as the overdetermined case of four tag directions, which improves robustness. Additional scan time can be prevented by using one or two grid patterns consisting of multiple, simultaneously acquired tag directions. This concept is demonstrated on patient data. Tracking errors obtained for phantom data are smaller than those obtained by HARP, 0.32±0.14 px versus 0.53±0.07 px. Strain results for volunteers are compared with corresponding linearised strain fields derived from HARP.

AB - We propose a new method to analyse deformation of the cardiac left ventricular wall from tagging magnetic resonance images. The method exploits the fact that the time-dependent frequency covector field representing the tag pattern is tightly coupled to the myocardial deformation and not affected by tag fading. Deformation and strain tensor fields can be retrieved from local frequency estimates given at least n (independent) tagging sequences, where n denotes spatial dimension. Our method does not require knowledge of material motion or tag line extraction. We consider the conventional case of two tag directions, as well as the overdetermined case of four tag directions, which improves robustness. Additional scan time can be prevented by using one or two grid patterns consisting of multiple, simultaneously acquired tag directions. This concept is demonstrated on patient data. Tracking errors obtained for phantom data are smaller than those obtained by HARP, 0.32±0.14 px versus 0.53±0.07 px. Strain results for volunteers are compared with corresponding linearised strain fields derived from HARP.

U2 - 10.1007/978-3-642-54268-8_25

DO - 10.1007/978-3-642-54268-8_25

M3 - Conference contribution

SN - 978-3-642-54267-1

T3 - Lecture Notes in Computer Science

SP - 212

EP - 219

BT - Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges (4th International Workshop, STACOM'13, held in conjunction with MICCAI'13, Nagoya, Japan, September 26, 2013. Revised Selected Papers)

A2 - Camara, O.

A2 - Mansi, T.

A2 - Pop, M.

A2 - Rhode, K.

A2 - Sermesant, M.

A2 - Young, A.

PB - Springer

CY - Berlin

T2 - 4th International Workshop on Statistical Atlases and Computational Models of the Heart (STACOM 2013)

Y2 - 26 September 2013 through 26 September 2013

ER -

Kause HB, Filatova OG, Duits R, Bruurmijn LCM, Fuster A, Westenberg JJM et al. Direct myocardial strain assessment from frequency estimation in tagging MRI. In Camara O, Mansi T, Pop M, Rhode K, Sermesant M, Young A, editors, Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges (4th International Workshop, STACOM'13, held in conjunction with MICCAI'13, Nagoya, Japan, September 26, 2013. Revised Selected Papers). Berlin: Springer. 2014. p. 212-219. (Lecture Notes in Computer Science). doi: 10.1007/978-3-642-54268-8_25

Direct myocardial strain assessment from frequency estimation in tagging MRI

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