Beyond the AHA 17-segment model: Motion-driven parcellation of the left ventricle

Wenjia Bai; Devis Peressutti; Sarah Parisot; Ozan Oktay; Martin Rajchl; Declan O’Regan; Stuart Cook; Andrew King; Daniel Rueckert

doi:10.1007/978-3-319-28712-6_2

Beyond the AHA 17-segment model: Motion-driven parcellation of the left ventricle

Wenjia Bai
, Devis Peressutti
, Sarah Parisot
, Ozan Oktay
, Martin Rajchl
, Declan O’Regan
, Stuart Cook
, Andrew King
, Daniel Rueckert

Imperial College London
King's College London
Hammersmith Hospital
Duke-NUS Medical School

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

5 Scopus citations

Abstract

A major challenge for cardiac motion analysis is the highdimensionality of the motion data. Conventionally, the AHA model is used for dimensionality reduction, which divides the left ventricle into 17 segments using criteria based on anatomical structures. In this paper, a novel method is proposed to divide the left ventricle into homogeneous parcels in terms of motion trajectories. We demonstrate that the motion-driven parcellation has good reproducibility and use it for data reduction and motion description on a dataset of 1093 subjects. The resulting motion descriptor achieves high performance on two exemplar applications, namely gender and age predictions. The proposed method has the potential to be applied to groupwise motion analysis.

Original language	English
Title of host publication	Statistical Atlases and Computational Models of the Heart
Subtitle of host publication	Imaging and Modelling Challenges - 6th International Workshop, STACOM 2015 Held in Conjunction with MICCAI 2015, Revised Selected Papers
Editors	Kawal Rhode, Oscar Camara, Alistair Young, Tommaso Mansi, Maxime Sermesant, Mihaela Pop
Publisher	Springer Verlag
Pages	13-20
Number of pages	8
ISBN (Print)	9783319287119
DOIs	https://doi.org/10.1007/978-3-319-28712-6_2
State	Published - 2016
Externally published	Yes
Event	6th International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2015 - Munich, Germany Duration: 9 Oct 2015 → 9 Oct 2015

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9534
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	6th International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2015
Country/Territory	Germany
City	Munich
Period	9/10/15 → 9/10/15

Access to Document

10.1007/978-3-319-28712-6_2

Cite this

Bai, W., Peressutti, D., Parisot, S., Oktay, O., Rajchl, M., O’Regan, D., Cook, S., King, A., & Rueckert, D. (2016). Beyond the AHA 17-segment model: Motion-driven parcellation of the left ventricle. In K. Rhode, O. Camara, A. Young, T. Mansi, M. Sermesant, & M. Pop (Eds.), Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges - 6th International Workshop, STACOM 2015 Held in Conjunction with MICCAI 2015, Revised Selected Papers (pp. 13-20). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9534). Springer Verlag. https://doi.org/10.1007/978-3-319-28712-6_2

Bai, Wenjia ; Peressutti, Devis ; Parisot, Sarah et al. / Beyond the AHA 17-segment model : Motion-driven parcellation of the left ventricle. Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges - 6th International Workshop, STACOM 2015 Held in Conjunction with MICCAI 2015, Revised Selected Papers. editor / Kawal Rhode ; Oscar Camara ; Alistair Young ; Tommaso Mansi ; Maxime Sermesant ; Mihaela Pop. Springer Verlag, 2016. pp. 13-20 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Beyond the AHA 17-segment model: Motion-driven parcellation of the left ventricle",

abstract = "A major challenge for cardiac motion analysis is the highdimensionality of the motion data. Conventionally, the AHA model is used for dimensionality reduction, which divides the left ventricle into 17 segments using criteria based on anatomical structures. In this paper, a novel method is proposed to divide the left ventricle into homogeneous parcels in terms of motion trajectories. We demonstrate that the motion-driven parcellation has good reproducibility and use it for data reduction and motion description on a dataset of 1093 subjects. The resulting motion descriptor achieves high performance on two exemplar applications, namely gender and age predictions. The proposed method has the potential to be applied to groupwise motion analysis.",

author = "Wenjia Bai and Devis Peressutti and Sarah Parisot and Ozan Oktay and Martin Rajchl and Declan O{\textquoteright}Regan and Stuart Cook and Andrew King and Daniel Rueckert",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 6th International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2015 ; Conference date: 09-10-2015 Through 09-10-2015",

year = "2016",

doi = "10.1007/978-3-319-28712-6\_2",

language = "English",

isbn = "9783319287119",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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booktitle = "Statistical Atlases and Computational Models of the Heart",

}

Bai, W, Peressutti, D, Parisot, S, Oktay, O, Rajchl, M, O’Regan, D, Cook, S, King, A & Rueckert, D 2016, Beyond the AHA 17-segment model: Motion-driven parcellation of the left ventricle. in K Rhode, O Camara, A Young, T Mansi, M Sermesant & M Pop (eds), Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges - 6th International Workshop, STACOM 2015 Held in Conjunction with MICCAI 2015, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9534, Springer Verlag, pp. 13-20, 6th International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2015, Munich, Germany, 9/10/15. https://doi.org/10.1007/978-3-319-28712-6_2

Beyond the AHA 17-segment model: Motion-driven parcellation of the left ventricle. / Bai, Wenjia; Peressutti, Devis; Parisot, Sarah et al.
Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges - 6th International Workshop, STACOM 2015 Held in Conjunction with MICCAI 2015, Revised Selected Papers. ed. / Kawal Rhode; Oscar Camara; Alistair Young; Tommaso Mansi; Maxime Sermesant; Mihaela Pop. Springer Verlag, 2016. p. 13-20 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9534).

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

TY - GEN

T1 - Beyond the AHA 17-segment model

T2 - 6th International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2015

AU - Bai, Wenjia

AU - Peressutti, Devis

AU - Parisot, Sarah

AU - Oktay, Ozan

AU - Rajchl, Martin

AU - O’Regan, Declan

AU - Cook, Stuart

AU - King, Andrew

AU - Rueckert, Daniel

N1 - Publisher Copyright: © Springer International Publishing Switzerland 2016.

PY - 2016

Y1 - 2016

N2 - A major challenge for cardiac motion analysis is the highdimensionality of the motion data. Conventionally, the AHA model is used for dimensionality reduction, which divides the left ventricle into 17 segments using criteria based on anatomical structures. In this paper, a novel method is proposed to divide the left ventricle into homogeneous parcels in terms of motion trajectories. We demonstrate that the motion-driven parcellation has good reproducibility and use it for data reduction and motion description on a dataset of 1093 subjects. The resulting motion descriptor achieves high performance on two exemplar applications, namely gender and age predictions. The proposed method has the potential to be applied to groupwise motion analysis.

AB - A major challenge for cardiac motion analysis is the highdimensionality of the motion data. Conventionally, the AHA model is used for dimensionality reduction, which divides the left ventricle into 17 segments using criteria based on anatomical structures. In this paper, a novel method is proposed to divide the left ventricle into homogeneous parcels in terms of motion trajectories. We demonstrate that the motion-driven parcellation has good reproducibility and use it for data reduction and motion description on a dataset of 1093 subjects. The resulting motion descriptor achieves high performance on two exemplar applications, namely gender and age predictions. The proposed method has the potential to be applied to groupwise motion analysis.

UR - https://www.scopus.com/pages/publications/84955317928

U2 - 10.1007/978-3-319-28712-6_2

DO - 10.1007/978-3-319-28712-6_2

M3 - Conference contribution

AN - SCOPUS:84955317928

SN - 9783319287119

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 13

EP - 20

BT - Statistical Atlases and Computational Models of the Heart

A2 - Rhode, Kawal

A2 - Camara, Oscar

A2 - Young, Alistair

A2 - Mansi, Tommaso

A2 - Sermesant, Maxime

A2 - Pop, Mihaela

PB - Springer Verlag

Y2 - 9 October 2015 through 9 October 2015

ER -

Bai W, Peressutti D, Parisot S, Oktay O, Rajchl M, O’Regan D et al. Beyond the AHA 17-segment model: Motion-driven parcellation of the left ventricle. In Rhode K, Camara O, Young A, Mansi T, Sermesant M, Pop M, editors, Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges - 6th International Workshop, STACOM 2015 Held in Conjunction with MICCAI 2015, Revised Selected Papers. Springer Verlag. 2016. p. 13-20. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-28712-6_2

Beyond the AHA 17-segment model: Motion-driven parcellation of the left ventricle

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