Understanding the mechanisms amenable to CRT response: from pre-operative multimodal image data to patient-specific computational models

C. Tobon-Gomez; N. Duchateau; R. Sebastian; S. Marchesseau; O. Camara; E. Donal; M. De Craene; A. Pashaei; J. Relan; M. Steghofer; Pablo Lamata de la Orden; H. Delingette; S. Duckett; M. Garreau; A. Hernandez; K. S. Rhode; M. Sermesant; N. Ayache; C. Leclercq; R. Razavi; N. P. Smith; A. F. Frangi

doi:10.1007/s11517-013-1044-7

Understanding the mechanisms amenable to CRT response: from pre-operative multimodal image data to patient-specific computational models

C. Tobon-Gomez^*, N. Duchateau, R. Sebastian, S. Marchesseau, O. Camara, E. Donal, M. De Craene, A. Pashaei, J. Relan, M. Steghofer, Pablo Lamata de la Orden, H. Delingette, S. Duckett, M. Garreau, A. Hernandez, K. S. Rhode, M. Sermesant, N. Ayache, C. Leclercq, R. RazaviN. P. Smith, A. F. Frangi

^*Corresponding author for this work

Research output: Contribution to journal › Literature review › peer-review

30 Citations (Scopus)

Abstract

This manuscript describes our recent developments towards better understanding of the mechanisms amenable to cardiac resynchronization therapy response. We report the results from a full multimodal dataset corresponding to eight patients from the euHeart project. The datasets include echocardiography, MRI and electrophysiological studies. We investigate two aspects. The first one focuses on pre-operative multimodal image data. From 2D echocardiography and 3D tagged MRI images, we compute atlas based dyssynchrony indices. We complement these indices with presence and extent of scar tissue and correlate them with CRT response. The second one focuses on computational models. We use pre-operative imaging to generate a patient-specific computational model. We show results of a fully automatic personalized electromechanical simulation. By case-per-case discussion of the results, we highlight the potential and key issues of this multimodal pipeline for the understanding of the mechanisms of CRT response and a better patient selection.

Original language	English
Pages (from-to)	1235-1250
Number of pages	16
Journal	Medical and Biological Engineering and Computing
Volume	51
Issue number	11
DOIs	https://doi.org/10.1007/s11517-013-1044-7
Publication status	Published - Nov 2013

Keywords

Cardiac resynchronization therapy
Dyssynchrony indices
Computational models
Patient-specific simulation
CARDIAC RESYNCHRONIZATION THERAPY
BUNDLE-BRANCH BLOCK
RESYNCHRONISATION THERAPY
HEART
DYSSYNCHRONY
MOTION
LEAD
QUANTIFICATION
PREDICTION

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10.1007/s11517-013-1044-7

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Tobon-Gomez, C., Duchateau, N., Sebastian, R., Marchesseau, S., Camara, O., Donal, E., De Craene, M., Pashaei, A., Relan, J., Steghofer, M., Lamata de la Orden, P., Delingette, H., Duckett, S., Garreau, M., Hernandez, A., Rhode, K. S., Sermesant, M., Ayache, N., Leclercq, C., ... Frangi, A. F. (2013). Understanding the mechanisms amenable to CRT response: from pre-operative multimodal image data to patient-specific computational models. Medical and Biological Engineering and Computing, 51(11), 1235-1250. https://doi.org/10.1007/s11517-013-1044-7

@article{54491b3df533403f956f4a9339c18efa,

title = "Understanding the mechanisms amenable to CRT response: from pre-operative multimodal image data to patient-specific computational models",

abstract = "This manuscript describes our recent developments towards better understanding of the mechanisms amenable to cardiac resynchronization therapy response. We report the results from a full multimodal dataset corresponding to eight patients from the euHeart project. The datasets include echocardiography, MRI and electrophysiological studies. We investigate two aspects. The first one focuses on pre-operative multimodal image data. From 2D echocardiography and 3D tagged MRI images, we compute atlas based dyssynchrony indices. We complement these indices with presence and extent of scar tissue and correlate them with CRT response. The second one focuses on computational models. We use pre-operative imaging to generate a patient-specific computational model. We show results of a fully automatic personalized electromechanical simulation. By case-per-case discussion of the results, we highlight the potential and key issues of this multimodal pipeline for the understanding of the mechanisms of CRT response and a better patient selection.",

keywords = "Cardiac resynchronization therapy, Dyssynchrony indices, Computational models, Patient-specific simulation, CARDIAC RESYNCHRONIZATION THERAPY, BUNDLE-BRANCH BLOCK, RESYNCHRONISATION THERAPY, HEART, DYSSYNCHRONY, MOTION, LEAD, QUANTIFICATION, PREDICTION",

author = "C. Tobon-Gomez and N. Duchateau and R. Sebastian and S. Marchesseau and O. Camara and E. Donal and {De Craene}, M. and A. Pashaei and J. Relan and M. Steghofer and {Lamata de la Orden}, Pablo and H. Delingette and S. Duckett and M. Garreau and A. Hernandez and Rhode, {K. S.} and M. Sermesant and N. Ayache and C. Leclercq and R. Razavi and Smith, {N. P.} and Frangi, {A. F.}",

year = "2013",

month = nov,

doi = "10.1007/s11517-013-1044-7",

language = "English",

volume = "51",

pages = "1235--1250",

journal = "Medical and Biological Engineering and Computing",

issn = "0140-0118",

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Tobon-Gomez, C, Duchateau, N, Sebastian, R, Marchesseau, S, Camara, O, Donal, E, De Craene, M, Pashaei, A, Relan, J, Steghofer, M, Lamata de la Orden, P, Delingette, H, Duckett, S, Garreau, M, Hernandez, A, Rhode, KS, Sermesant, M, Ayache, N, Leclercq, C, Razavi, R , Smith, NP & Frangi, AF 2013, 'Understanding the mechanisms amenable to CRT response: from pre-operative multimodal image data to patient-specific computational models', Medical and Biological Engineering and Computing, vol. 51, no. 11, pp. 1235-1250. https://doi.org/10.1007/s11517-013-1044-7

TY - JOUR

T1 - Understanding the mechanisms amenable to CRT response

T2 - from pre-operative multimodal image data to patient-specific computational models

AU - Tobon-Gomez, C.

AU - Duchateau, N.

AU - Sebastian, R.

AU - Marchesseau, S.

AU - Camara, O.

AU - Donal, E.

AU - De Craene, M.

AU - Pashaei, A.

AU - Relan, J.

AU - Steghofer, M.

AU - Lamata de la Orden, Pablo

AU - Delingette, H.

AU - Duckett, S.

AU - Garreau, M.

AU - Hernandez, A.

AU - Rhode, K. S.

AU - Sermesant, M.

AU - Ayache, N.

AU - Leclercq, C.

AU - Razavi, R.

AU - Smith, N. P.

AU - Frangi, A. F.

PY - 2013/11

Y1 - 2013/11

N2 - This manuscript describes our recent developments towards better understanding of the mechanisms amenable to cardiac resynchronization therapy response. We report the results from a full multimodal dataset corresponding to eight patients from the euHeart project. The datasets include echocardiography, MRI and electrophysiological studies. We investigate two aspects. The first one focuses on pre-operative multimodal image data. From 2D echocardiography and 3D tagged MRI images, we compute atlas based dyssynchrony indices. We complement these indices with presence and extent of scar tissue and correlate them with CRT response. The second one focuses on computational models. We use pre-operative imaging to generate a patient-specific computational model. We show results of a fully automatic personalized electromechanical simulation. By case-per-case discussion of the results, we highlight the potential and key issues of this multimodal pipeline for the understanding of the mechanisms of CRT response and a better patient selection.

AB - This manuscript describes our recent developments towards better understanding of the mechanisms amenable to cardiac resynchronization therapy response. We report the results from a full multimodal dataset corresponding to eight patients from the euHeart project. The datasets include echocardiography, MRI and electrophysiological studies. We investigate two aspects. The first one focuses on pre-operative multimodal image data. From 2D echocardiography and 3D tagged MRI images, we compute atlas based dyssynchrony indices. We complement these indices with presence and extent of scar tissue and correlate them with CRT response. The second one focuses on computational models. We use pre-operative imaging to generate a patient-specific computational model. We show results of a fully automatic personalized electromechanical simulation. By case-per-case discussion of the results, we highlight the potential and key issues of this multimodal pipeline for the understanding of the mechanisms of CRT response and a better patient selection.

KW - Cardiac resynchronization therapy

KW - Dyssynchrony indices

KW - Computational models

KW - Patient-specific simulation

KW - CARDIAC RESYNCHRONIZATION THERAPY

KW - BUNDLE-BRANCH BLOCK

KW - RESYNCHRONISATION THERAPY

KW - HEART

KW - DYSSYNCHRONY

KW - MOTION

KW - LEAD

KW - QUANTIFICATION

KW - PREDICTION

UR - http://www.scopus.com/inward/record.url?partnerID=yv4JPVwI&eid=2-s2.0-84873970025&md5=44d5db91566ca012ee101a61f50dca8c

U2 - 10.1007/s11517-013-1044-7

DO - 10.1007/s11517-013-1044-7

M3 - Literature review

SN - 0140-0118

VL - 51

SP - 1235

EP - 1250

JO - Medical and Biological Engineering and Computing

JF - Medical and Biological Engineering and Computing

IS - 11

ER -

Understanding the mechanisms amenable to CRT response: from pre-operative multimodal image data to patient-specific computational models

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Keywords

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