An Automatic Data Assimilation Framework for Patient-Specific Myocardial Mechanical Parameter Estimation

Jiahe Xi; Pablo Lamata de la Orden; Wenzhe Shi; Steven Niederer; Sander Land; Daniel Rueckert; Simon G. Duckett; Anoop K. Shetty; C. Aldo Rinaldi; Reza Razavi; Nic Smith

An Automatic Data Assimilation Framework for Patient-Specific Myocardial Mechanical Parameter Estimation

Jiahe Xi, Pablo Lamata de la Orden, Wenzhe Shi, Steven Niederer, Sander Land, Daniel Rueckert, Simon G. Duckett, Anoop K. Shetty, C. Aldo Rinaldi, Reza Razavi, Nic Smith

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

18 Citations (Scopus)

Abstract

We present an automatic workflow to extract myocardial constitutive parameters from clinical data. Our framework assimilates cine and 3D tagged Magnetic Resonance Images (MRI) together with left ventricular (LV) cavity pressure recordings to characterize the mechanics of the LV. Dynamic C-1-continuous meshes are automatically fitted using both the cine MRI and 4D displacement fields extracted from the tagged MRI. The passive filling of the LV is simulated, with patient-specific geometry, kinematic boundary and loading conditions. The mechanical parameters are identified by matching the simulated diastolic deformation to observed end-diastolic displacements. We applied our framework to two heart failure patient cases and one normal case. The results indicate that while an end-diastolic measurement does not constrain the mechanical parameters uniquely, it does provide a potentially robust indicator of myocardial stiffness.

Original language	English
Title of host publication	FUNCTIONAL IMAGING AND MODELING OF THE HEART
Editors	DN Metaxas, L Axel
Place of Publication	BERLIN
Publisher	Springer
Pages	392-400
Number of pages	9
Volume	6666 LNCS
ISBN (Print)	9783642210280
Publication status	Published - 2011
Event	6th International Conference on Functional Imaging and Modeling of the Heart (FIMH) - New York Duration: 25 May 2011 → 27 May 2011

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer Verlag
ISSN (Print)	0302-9743

Conference

Conference	6th International Conference on Functional Imaging and Modeling of the Heart (FIMH)
City	New York
Period	25/05/2011 → 27/05/2011

Cite this

Xi, J., Lamata de la Orden, P., Shi, W., Niederer, S., Land, S., Rueckert, D., Duckett, S. G., Shetty, A. K., Rinaldi, C. A., Razavi, R., & Smith, N. (2011). An Automatic Data Assimilation Framework for Patient-Specific Myocardial Mechanical Parameter Estimation. In DN. Metaxas, & L. Axel (Eds.), FUNCTIONAL IMAGING AND MODELING OF THE HEART (Vol. 6666 LNCS, pp. 392-400). (Lecture Notes in Computer Science). Springer.

@inbook{a81de43f5f8344b8b5da6e60988f314e,

title = "An Automatic Data Assimilation Framework for Patient-Specific Myocardial Mechanical Parameter Estimation",

abstract = "We present an automatic workflow to extract myocardial constitutive parameters from clinical data. Our framework assimilates cine and 3D tagged Magnetic Resonance Images (MRI) together with left ventricular (LV) cavity pressure recordings to characterize the mechanics of the LV. Dynamic C-1-continuous meshes are automatically fitted using both the cine MRI and 4D displacement fields extracted from the tagged MRI. The passive filling of the LV is simulated, with patient-specific geometry, kinematic boundary and loading conditions. The mechanical parameters are identified by matching the simulated diastolic deformation to observed end-diastolic displacements. We applied our framework to two heart failure patient cases and one normal case. The results indicate that while an end-diastolic measurement does not constrain the mechanical parameters uniquely, it does provide a potentially robust indicator of myocardial stiffness.",

author = "Jiahe Xi and {Lamata de la Orden}, Pablo and Wenzhe Shi and Steven Niederer and Sander Land and Daniel Rueckert and Duckett, {Simon G.} and Shetty, {Anoop K.} and Rinaldi, {C. Aldo} and Reza Razavi and Nic Smith",

year = "2011",

language = "English",

isbn = "9783642210280",

volume = "6666 LNCS",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

pages = "392--400",

editor = "DN Metaxas and L Axel",

booktitle = "FUNCTIONAL IMAGING AND MODELING OF THE HEART",

note = "6th International Conference on Functional Imaging and Modeling of the Heart (FIMH) ; Conference date: 25-05-2011 Through 27-05-2011",

}

Xi, J, Lamata de la Orden, P, Shi, W, Niederer, S, Land, S, Rueckert, D, Duckett, SG , Shetty, AK, Rinaldi, CA, Razavi, R & Smith, N 2011, An Automatic Data Assimilation Framework for Patient-Specific Myocardial Mechanical Parameter Estimation. in DN Metaxas & L Axel (eds), FUNCTIONAL IMAGING AND MODELING OF THE HEART. vol. 6666 LNCS, Lecture Notes in Computer Science, Springer, BERLIN, pp. 392-400, 6th International Conference on Functional Imaging and Modeling of the Heart (FIMH), New York, 25/05/2011.

An Automatic Data Assimilation Framework for Patient-Specific Myocardial Mechanical Parameter Estimation. / Xi, Jiahe; Lamata de la Orden, Pablo; Shi, Wenzhe et al.
FUNCTIONAL IMAGING AND MODELING OF THE HEART. ed. / DN Metaxas; L Axel. Vol. 6666 LNCS BERLIN: Springer, 2011. p. 392-400 (Lecture Notes in Computer Science).

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

TY - CHAP

T1 - An Automatic Data Assimilation Framework for Patient-Specific Myocardial Mechanical Parameter Estimation

AU - Xi, Jiahe

AU - Lamata de la Orden, Pablo

AU - Shi, Wenzhe

AU - Niederer, Steven

AU - Land, Sander

AU - Rueckert, Daniel

AU - Duckett, Simon G.

AU - Shetty, Anoop K.

AU - Rinaldi, C. Aldo

AU - Razavi, Reza

AU - Smith, Nic

PY - 2011

Y1 - 2011

N2 - We present an automatic workflow to extract myocardial constitutive parameters from clinical data. Our framework assimilates cine and 3D tagged Magnetic Resonance Images (MRI) together with left ventricular (LV) cavity pressure recordings to characterize the mechanics of the LV. Dynamic C-1-continuous meshes are automatically fitted using both the cine MRI and 4D displacement fields extracted from the tagged MRI. The passive filling of the LV is simulated, with patient-specific geometry, kinematic boundary and loading conditions. The mechanical parameters are identified by matching the simulated diastolic deformation to observed end-diastolic displacements. We applied our framework to two heart failure patient cases and one normal case. The results indicate that while an end-diastolic measurement does not constrain the mechanical parameters uniquely, it does provide a potentially robust indicator of myocardial stiffness.

AB - We present an automatic workflow to extract myocardial constitutive parameters from clinical data. Our framework assimilates cine and 3D tagged Magnetic Resonance Images (MRI) together with left ventricular (LV) cavity pressure recordings to characterize the mechanics of the LV. Dynamic C-1-continuous meshes are automatically fitted using both the cine MRI and 4D displacement fields extracted from the tagged MRI. The passive filling of the LV is simulated, with patient-specific geometry, kinematic boundary and loading conditions. The mechanical parameters are identified by matching the simulated diastolic deformation to observed end-diastolic displacements. We applied our framework to two heart failure patient cases and one normal case. The results indicate that while an end-diastolic measurement does not constrain the mechanical parameters uniquely, it does provide a potentially robust indicator of myocardial stiffness.

M3 - Conference paper

SN - 9783642210280

VL - 6666 LNCS

T3 - Lecture Notes in Computer Science

SP - 392

EP - 400

BT - FUNCTIONAL IMAGING AND MODELING OF THE HEART

A2 - Metaxas, DN

A2 - Axel, L

PB - Springer

CY - BERLIN

T2 - 6th International Conference on Functional Imaging and Modeling of the Heart (FIMH)

Y2 - 25 May 2011 through 27 May 2011

ER -

An Automatic Data Assimilation Framework for Patient-Specific Myocardial Mechanical Parameter Estimation

Abstract

Publication series

Conference

Fingerprint

Cite this