3D intraventricular flow mapping from colour Doppler images and wall motion

Alberto Gómez; Adelaide De Vecchi; Kuberan Pushparajah; John Simpson; Daniel Giese; Tobias Schaeffter; Graeme Penney

doi:10.1007/978-3-642-40763-5_59

3D intraventricular flow mapping from colour Doppler images and wall motion

Alberto Gómez
, Adelaide De Vecchi
, Kuberan Pushparajah
, John Simpson
, Daniel Giese
, Tobias Schaeffter
, Graeme Penney

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

7 Citations (Scopus)

Abstract

We propose a new method to recover 3D time-resolved velocity vectors within the left ventricle (LV) using a combination of multiple registered 3D colour Doppler images and LV wall motion. Incorporation of wall motion, calculated from 3D B-Mode images, and the use of a multi-scale reconstruction framework allow recovery of 3D velocity over the entire ventricle, even in regions where there is little or no Doppler data. Our method is tested on the LV of a paediatric patient and is compared to 2D and 3D flow Magnetic Resonance Imaging (MRI). Use of wall motion information increased stroke volume accuracy by 14%, and enabled full 3D velocity mapping within the ventricle. Velocity distribution showed good agreement with respect to MRI, and vortex formation during diastole was successfully reconstructed.

Original language	English
Title of host publication	Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013 - 16th International Conference, Proceedings
Pages	476-483
Number of pages	8
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-642-40763-5_59
Publication status	Published - 2013
Externally published	Yes
Event	16th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013 - Nagoya, Japan Duration: 22 Sept 2013 → 26 Sept 2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	8150 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	16th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013
Country/Territory	Japan
City	Nagoya
Period	22/09/13 → 26/09/13

Keywords

3D Velocity Reconstruction
Cardiac Motion
Colour Doppler Echocardiography
Flow Patterns
Multiple Views
Registration

Access to Document

10.1007/978-3-642-40763-5_59

Cite this

Gómez, A., De Vecchi, A., Pushparajah, K., Simpson, J., Giese, D., Schaeffter, T., & Penney, G. (2013). 3D intraventricular flow mapping from colour Doppler images and wall motion. In Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013 - 16th International Conference, Proceedings (PART 2 ed., pp. 476-483). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8150 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-40763-5_59

Gómez, Alberto ; De Vecchi, Adelaide ; Pushparajah, Kuberan et al. / 3D intraventricular flow mapping from colour Doppler images and wall motion. Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013 - 16th International Conference, Proceedings. PART 2. ed. 2013. pp. 476-483 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

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title = "3D intraventricular flow mapping from colour Doppler images and wall motion",

abstract = "We propose a new method to recover 3D time-resolved velocity vectors within the left ventricle (LV) using a combination of multiple registered 3D colour Doppler images and LV wall motion. Incorporation of wall motion, calculated from 3D B-Mode images, and the use of a multi-scale reconstruction framework allow recovery of 3D velocity over the entire ventricle, even in regions where there is little or no Doppler data. Our method is tested on the LV of a paediatric patient and is compared to 2D and 3D flow Magnetic Resonance Imaging (MRI). Use of wall motion information increased stroke volume accuracy by 14\%, and enabled full 3D velocity mapping within the ventricle. Velocity distribution showed good agreement with respect to MRI, and vortex formation during diastole was successfully reconstructed.",

keywords = "3D Velocity Reconstruction, Cardiac Motion, Colour Doppler Echocardiography, Flow Patterns, Multiple Views, Registration",

author = "Alberto G{\'o}mez and \{De Vecchi\}, Adelaide and Kuberan Pushparajah and John Simpson and Daniel Giese and Tobias Schaeffter and Graeme Penney",

year = "2013",

doi = "10.1007/978-3-642-40763-5\_59",

language = "English",

isbn = "9783642407628",

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

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booktitle = "Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013 - 16th International Conference, Proceedings",

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Gómez, A, De Vecchi, A, Pushparajah, K, Simpson, J, Giese, D, Schaeffter, T & Penney, G 2013, 3D intraventricular flow mapping from colour Doppler images and wall motion. in Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013 - 16th International Conference, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 8150 LNCS, pp. 476-483, 16th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013, Nagoya, Japan, 22/09/13. https://doi.org/10.1007/978-3-642-40763-5_59

3D intraventricular flow mapping from colour Doppler images and wall motion. / Gómez, Alberto; De Vecchi, Adelaide; Pushparajah, Kuberan et al.
Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013 - 16th International Conference, Proceedings. PART 2. ed. 2013. p. 476-483 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8150 LNCS, No. PART 2).

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

TY - GEN

T1 - 3D intraventricular flow mapping from colour Doppler images and wall motion

AU - Gómez, Alberto

AU - De Vecchi, Adelaide

AU - Pushparajah, Kuberan

AU - Simpson, John

AU - Giese, Daniel

AU - Schaeffter, Tobias

AU - Penney, Graeme

PY - 2013

Y1 - 2013

N2 - We propose a new method to recover 3D time-resolved velocity vectors within the left ventricle (LV) using a combination of multiple registered 3D colour Doppler images and LV wall motion. Incorporation of wall motion, calculated from 3D B-Mode images, and the use of a multi-scale reconstruction framework allow recovery of 3D velocity over the entire ventricle, even in regions where there is little or no Doppler data. Our method is tested on the LV of a paediatric patient and is compared to 2D and 3D flow Magnetic Resonance Imaging (MRI). Use of wall motion information increased stroke volume accuracy by 14%, and enabled full 3D velocity mapping within the ventricle. Velocity distribution showed good agreement with respect to MRI, and vortex formation during diastole was successfully reconstructed.

AB - We propose a new method to recover 3D time-resolved velocity vectors within the left ventricle (LV) using a combination of multiple registered 3D colour Doppler images and LV wall motion. Incorporation of wall motion, calculated from 3D B-Mode images, and the use of a multi-scale reconstruction framework allow recovery of 3D velocity over the entire ventricle, even in regions where there is little or no Doppler data. Our method is tested on the LV of a paediatric patient and is compared to 2D and 3D flow Magnetic Resonance Imaging (MRI). Use of wall motion information increased stroke volume accuracy by 14%, and enabled full 3D velocity mapping within the ventricle. Velocity distribution showed good agreement with respect to MRI, and vortex formation during diastole was successfully reconstructed.

KW - 3D Velocity Reconstruction

KW - Cardiac Motion

KW - Colour Doppler Echocardiography

KW - Flow Patterns

KW - Multiple Views

KW - Registration

UR - https://www.scopus.com/pages/publications/84897577380

U2 - 10.1007/978-3-642-40763-5_59

DO - 10.1007/978-3-642-40763-5_59

M3 - Conference contribution

C2 - 24579175

AN - SCOPUS:84897577380

SN - 9783642407628

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

SP - 476

EP - 483

BT - Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013 - 16th International Conference, Proceedings

T2 - 16th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013

Y2 - 22 September 2013 through 26 September 2013

ER -

Gómez A, De Vecchi A, Pushparajah K, Simpson J, Giese D, Schaeffter T et al. 3D intraventricular flow mapping from colour Doppler images and wall motion. In Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013 - 16th International Conference, Proceedings. PART 2 ed. 2013. p. 476-483. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-642-40763-5_59

3D intraventricular flow mapping from colour Doppler images and wall motion

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Keywords

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