Factors affecting optical flow performance in tagging magnetic resonance imaging

P. Marquez-Valle; H.B. Kause; A. Fuster; A. Hernàndez-Sabaté; L.M.J. Florack; D. Gil; H.C. Assen, van

doi:10.1007/978-3-319-14678-2_24

Factors affecting optical flow performance in tagging magnetic resonance imaging

P. Marquez-Valle, H.B. Kause, A. Fuster, A. Hernàndez-Sabaté, L.M.J. Florack, D. Gil, H.C. Assen, van

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

2 Citations (Scopus)

Abstract

Changes in cardiac deformation patterns are correlated with cardiac pathologies. Deformation can be extracted from tagging Magnetic Resonance Imaging (tMRI) using Optical Flow (OF) techniques. For applications of OF in a clinical setting it is important to assess to what extent the performance of a particular OF method is stable across different clinical acquisition artifacts. This paper presents a statistical validation framework, based on ANOVA, to assess the motion and appearance factors that have the largest influence on OF accuracy drop. In order to validate this framework, we created a database of simulated tMRI data including the most common artifacts of MRI and test three different OF methods, including HARP.

Original language	English
Title of host publication	Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges (5th International Workshop, STACOM 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014, Revised Selected Papers)
Editors	O. Camara, T. Mansi, M. Pop, K. Rhode, M. Sermesant, A. Young
Place of Publication	Heidelberg
Publisher	Springer
Pages	231-238
ISBN (Print)	978-3-319-14677-5
DOIs	https://doi.org/10.1007/978-3-319-14678-2_24
Publication status	Published - 2015
Event	5th International Workshop on Statistical Atlases and Computational Models of the Heart (STACOM 2014) - Boston, MA, United States Duration: 18 Sept 2014 → 18 Sept 2014

Publication series

Name	Lecture Notes in Computer Science
Volume	8896
ISSN (Print)	0302-9743

Workshop

Workshop	5th International Workshop on Statistical Atlases and Computational Models of the Heart (STACOM 2014)
Abbreviated title	STACOM 2014
Country/Territory	United States
City	Boston, MA
Period	18/09/14 → 18/09/14
Other	Workshop held in conjunction with the 17th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2014)

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10.1007/978-3-319-14678-2_24

Cite this

Marquez-Valle, P., Kause, H. B., Fuster, A., Hernàndez-Sabaté, A., Florack, L. M. J., Gil, D., & Assen, van, H. C. (2015). Factors affecting optical flow performance in tagging magnetic resonance imaging. 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 (5th International Workshop, STACOM 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014, Revised Selected Papers) (pp. 231-238). (Lecture Notes in Computer Science; Vol. 8896). Springer. https://doi.org/10.1007/978-3-319-14678-2_24

Marquez-Valle, P. ; Kause, H.B. ; Fuster, A. et al. / Factors affecting optical flow performance in tagging magnetic resonance imaging. Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges (5th International Workshop, STACOM 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014, Revised Selected Papers). editor / O. Camara ; T. Mansi ; M. Pop ; K. Rhode ; M. Sermesant ; A. Young. Heidelberg : Springer, 2015. pp. 231-238 (Lecture Notes in Computer Science).

@inproceedings{8ecfed966c8d447f93912e2a0c568170,

title = "Factors affecting optical flow performance in tagging magnetic resonance imaging",

abstract = "Changes in cardiac deformation patterns are correlated with cardiac pathologies. Deformation can be extracted from tagging Magnetic Resonance Imaging (tMRI) using Optical Flow (OF) techniques. For applications of OF in a clinical setting it is important to assess to what extent the performance of a particular OF method is stable across different clinical acquisition artifacts. This paper presents a statistical validation framework, based on ANOVA, to assess the motion and appearance factors that have the largest influence on OF accuracy drop. In order to validate this framework, we created a database of simulated tMRI data including the most common artifacts of MRI and test three different OF methods, including HARP.",

author = "P. Marquez-Valle and H.B. Kause and A. Fuster and A. Hern{\`a}ndez-Sabat{\'e} and L.M.J. Florack and D. Gil and {Assen, van}, H.C.",

year = "2015",

doi = "10.1007/978-3-319-14678-2_24",

language = "English",

isbn = "978-3-319-14677-5",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

pages = "231--238",

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 (5th International Workshop, STACOM 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014, Revised Selected Papers)",

address = "Germany",

note = "5th International Workshop on Statistical Atlases and Computational Models of the Heart (STACOM 2014), STACOM 2014 ; Conference date: 18-09-2014 Through 18-09-2014",

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Marquez-Valle, P, Kause, HB, Fuster, A, Hernàndez-Sabaté, A, Florack, LMJ, Gil, D & Assen, van, HC 2015, Factors affecting optical flow performance in tagging magnetic resonance imaging. 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 (5th International Workshop, STACOM 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014, Revised Selected Papers). Lecture Notes in Computer Science, vol. 8896, Springer, Heidelberg, pp. 231-238, 5th International Workshop on Statistical Atlases and Computational Models of the Heart (STACOM 2014), Boston, MA, United States, 18/09/14. https://doi.org/10.1007/978-3-319-14678-2_24

Factors affecting optical flow performance in tagging magnetic resonance imaging. / Marquez-Valle, P.; Kause, H.B.; Fuster, A. et al.
Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges (5th International Workshop, STACOM 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014, Revised Selected Papers). ed. / O. Camara; T. Mansi; M. Pop; K. Rhode; M. Sermesant; A. Young. Heidelberg: Springer, 2015. p. 231-238 (Lecture Notes in Computer Science; Vol. 8896).

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

TY - GEN

T1 - Factors affecting optical flow performance in tagging magnetic resonance imaging

AU - Marquez-Valle, P.

AU - Kause, H.B.

AU - Fuster, A.

AU - Hernàndez-Sabaté, A.

AU - Florack, L.M.J.

AU - Gil, D.

AU - Assen, van, H.C.

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N2 - Changes in cardiac deformation patterns are correlated with cardiac pathologies. Deformation can be extracted from tagging Magnetic Resonance Imaging (tMRI) using Optical Flow (OF) techniques. For applications of OF in a clinical setting it is important to assess to what extent the performance of a particular OF method is stable across different clinical acquisition artifacts. This paper presents a statistical validation framework, based on ANOVA, to assess the motion and appearance factors that have the largest influence on OF accuracy drop. In order to validate this framework, we created a database of simulated tMRI data including the most common artifacts of MRI and test three different OF methods, including HARP.

AB - Changes in cardiac deformation patterns are correlated with cardiac pathologies. Deformation can be extracted from tagging Magnetic Resonance Imaging (tMRI) using Optical Flow (OF) techniques. For applications of OF in a clinical setting it is important to assess to what extent the performance of a particular OF method is stable across different clinical acquisition artifacts. This paper presents a statistical validation framework, based on ANOVA, to assess the motion and appearance factors that have the largest influence on OF accuracy drop. In order to validate this framework, we created a database of simulated tMRI data including the most common artifacts of MRI and test three different OF methods, including HARP.

U2 - 10.1007/978-3-319-14678-2_24

DO - 10.1007/978-3-319-14678-2_24

M3 - Conference contribution

SN - 978-3-319-14677-5

T3 - Lecture Notes in Computer Science

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EP - 238

BT - Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges (5th International Workshop, STACOM 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014, Revised Selected Papers)

A2 - Camara, O.

A2 - Mansi, T.

A2 - Pop, M.

A2 - Rhode, K.

A2 - Sermesant, M.

A2 - Young, A.

PB - Springer

CY - Heidelberg

T2 - 5th International Workshop on Statistical Atlases and Computational Models of the Heart (STACOM 2014)

Y2 - 18 September 2014 through 18 September 2014

ER -

Marquez-Valle P, Kause HB, Fuster A, Hernàndez-Sabaté A, Florack LMJ, Gil D et al. Factors affecting optical flow performance in tagging magnetic resonance imaging. 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 (5th International Workshop, STACOM 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 18, 2014, Revised Selected Papers). Heidelberg: Springer. 2015. p. 231-238. (Lecture Notes in Computer Science). doi: 10.1007/978-3-319-14678-2_24

Factors affecting optical flow performance in tagging magnetic resonance imaging

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