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

Alberto Gomez Herrero; 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 Gomez Herrero, Adelaide de Vecchi, Kuberan Pushparajah, John Simpson, Daniel Giese, Tobias Schaeffter, Graeme Penney

King's College London

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

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
Subtitle of host publication	16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings, Part II
Editors	Kensaku Mori, Ichiro Sakuma, Yoshinobu Sato, Christian Barillot, Nassir Navab
Publisher	Springer Berlin Heidelberg
Pages	476-483
Number of pages	8
Volume	8150 LNCS
Edition	PART 2
ISBN (Print)	9783642407628
DOIs	https://doi.org/10.1007/978-3-642-40763-5_59
Publication status	Published - 2013

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer Berlin Heidelberg
Volume	8150
ISSN (Print)	0302-9743

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

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Gomez Herrero, 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 K. Mori, I. Sakuma, Y. Sato, C. Barillot, & N. Navab (Eds.), Medical Image Computing and Computer Assisted Intervention - MICCAI 2013: 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings, Part II (PART 2 ed., Vol. 8150 LNCS, pp. 476-483). (Lecture Notes in Computer Science; Vol. 8150). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-40763-5_59

Gomez Herrero, 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, Nagoya, Japan, September 22-26, 2013, Proceedings, Part II. editor / Kensaku Mori ; Ichiro Sakuma ; Yoshinobu Sato ; Christian Barillot ; Nassir Navab. Vol. 8150 LNCS PART 2. ed. Springer Berlin Heidelberg, 2013. pp. 476-483 (Lecture Notes in Computer Science).

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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.",

author = "{Gomez Herrero}, Alberto and {de Vecchi}, Adelaide and Kuberan Pushparajah and John Simpson and Daniel Giese and Tobias Schaeffter and Graeme Penney",

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

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Gomez Herrero, 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 K Mori, I Sakuma, Y Sato, C Barillot & N Navab (eds), Medical Image Computing and Computer Assisted Intervention - MICCAI 2013: 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings, Part II. PART 2 edn, vol. 8150 LNCS, Lecture Notes in Computer Science, vol. 8150, Springer Berlin Heidelberg, pp. 476-483. https://doi.org/10.1007/978-3-642-40763-5_59

3D intraventricular flow mapping from colour Doppler images and wall motion. / Gomez Herrero, Alberto ; de Vecchi, Adelaide ; Pushparajah, Kuberan et al.
Medical Image Computing and Computer Assisted Intervention - MICCAI 2013: 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings, Part II. ed. / Kensaku Mori; Ichiro Sakuma; Yoshinobu Sato; Christian Barillot; Nassir Navab. Vol. 8150 LNCS PART 2. ed. Springer Berlin Heidelberg, 2013. p. 476-483 (Lecture Notes in Computer Science; Vol. 8150).

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

TY - CHAP

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

AU - Gomez Herrero, 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.

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

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

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SN - 9783642407628

VL - 8150 LNCS

T3 - Lecture Notes in Computer Science

SP - 476

EP - 483

BT - Medical Image Computing and Computer Assisted Intervention - MICCAI 2013

A2 - Mori, Kensaku

A2 - Sakuma, Ichiro

A2 - Sato, Yoshinobu

A2 - Barillot, Christian

A2 - Navab, Nassir

PB - Springer Berlin Heidelberg

ER -

Gomez Herrero 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 Mori K, Sakuma I, Sato Y, Barillot C, Navab N, editors, Medical Image Computing and Computer Assisted Intervention - MICCAI 2013: 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings, Part II. PART 2 ed. Vol. 8150 LNCS. Springer Berlin Heidelberg. 2013. p. 476-483. (Lecture Notes in Computer Science). doi: 10.1007/978-3-642-40763-5_59

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

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