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Non-invasive pressure difference estimation from PC-MRI using the work-energy equation

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Non-invasive pressure difference estimation from PC-MRI using the work-energy equation. / Donati, Fabrizio; Figueroa, C. Alberto; Smith, Nicolas P.; Lamata de la Orden, Pablo; Nordsletten, David A.

In: MEDICAL IMAGE ANALYSIS, Vol. 26, No. 1, 01.12.2015, p. 159-172.

Research output: Contribution to journalArticle

Harvard

Donati, F, Figueroa, CA, Smith, NP, Lamata de la Orden, P & Nordsletten, DA 2015, 'Non-invasive pressure difference estimation from PC-MRI using the work-energy equation' MEDICAL IMAGE ANALYSIS, vol 26, no. 1, pp. 159-172. DOI: 10.1016/j.media.2015.08.012

APA

Donati, F., Figueroa, C. A., Smith, N. P., Lamata de la Orden, P., & Nordsletten, D. A. (2015). Non-invasive pressure difference estimation from PC-MRI using the work-energy equation. MEDICAL IMAGE ANALYSIS, 26(1), 159-172. DOI: 10.1016/j.media.2015.08.012

Vancouver

Donati F, Figueroa CA, Smith NP, Lamata de la Orden P, Nordsletten DA. Non-invasive pressure difference estimation from PC-MRI using the work-energy equation. MEDICAL IMAGE ANALYSIS. 2015 Dec 1;26(1):159-172. Available from, DOI: 10.1016/j.media.2015.08.012

Author

Donati, Fabrizio ; Figueroa, C. Alberto ; Smith, Nicolas P. ; Lamata de la Orden, Pablo ; Nordsletten, David A./ Non-invasive pressure difference estimation from PC-MRI using the work-energy equation. In: MEDICAL IMAGE ANALYSIS. 2015 ; Vol. 26, No. 1. pp. 159-172

Bibtex Download

@article{269ddf1599e94ed3bdd4d0a86ad8db13,
title = "Non-invasive pressure difference estimation from PC-MRI using the work-energy equation",
abstract = "Pressure difference is an accepted clinical biomarker for cardiovascular disease conditions such as aortic coarctation. Currently, measurements of pressure differences in the clinic rely on invasive techniques (catheterization), prompting development of non-invasive estimates based on blood flow. In this work, we propose a non-invasive estimation procedure deriving pressure difference from the work-energy equation for a Newtonian fluid. Spatial and temporal convergence is demonstrated on in silico Phase Contrast Magnetic Resonance Image (PC-MRI) phantoms with steady and transient flow fields. The method is also tested on an image dataset generated in silico from a 3D patient-specific Computational Fluid Dynamics (CFD) simulation and finally evaluated on a cohort of 9 subjects. The performance is compared to existing approaches based on steady and unsteady Bernoulli formulations as well as the pressure Poisson equation. The new technique shows good accuracy, robustness to noise, and robustness to the image segmentation process, illustrating the potential of this approach for non-invasive pressure difference estimation.",
keywords = "4D flow, Aortic flow, PC-MRI, Pressure differences estimation, Work-energy equation",
author = "Fabrizio Donati and Figueroa, {C. Alberto} and Smith, {Nicolas P.} and {Lamata de la Orden}, Pablo and Nordsletten, {David A.}",
year = "2015",
month = "12",
day = "1",
doi = "10.1016/j.media.2015.08.012",
language = "English",
volume = "26",
pages = "159--172",
journal = "MEDICAL IMAGE ANALYSIS",
issn = "1361-8415",
number = "1",

}

RIS (suitable for import to EndNote) Download

TY - JOUR

T1 - Non-invasive pressure difference estimation from PC-MRI using the work-energy equation

AU - Donati,Fabrizio

AU - Figueroa,C. Alberto

AU - Smith,Nicolas P.

AU - Lamata de la Orden,Pablo

AU - Nordsletten,David A.

PY - 2015/12/1

Y1 - 2015/12/1

N2 - Pressure difference is an accepted clinical biomarker for cardiovascular disease conditions such as aortic coarctation. Currently, measurements of pressure differences in the clinic rely on invasive techniques (catheterization), prompting development of non-invasive estimates based on blood flow. In this work, we propose a non-invasive estimation procedure deriving pressure difference from the work-energy equation for a Newtonian fluid. Spatial and temporal convergence is demonstrated on in silico Phase Contrast Magnetic Resonance Image (PC-MRI) phantoms with steady and transient flow fields. The method is also tested on an image dataset generated in silico from a 3D patient-specific Computational Fluid Dynamics (CFD) simulation and finally evaluated on a cohort of 9 subjects. The performance is compared to existing approaches based on steady and unsteady Bernoulli formulations as well as the pressure Poisson equation. The new technique shows good accuracy, robustness to noise, and robustness to the image segmentation process, illustrating the potential of this approach for non-invasive pressure difference estimation.

AB - Pressure difference is an accepted clinical biomarker for cardiovascular disease conditions such as aortic coarctation. Currently, measurements of pressure differences in the clinic rely on invasive techniques (catheterization), prompting development of non-invasive estimates based on blood flow. In this work, we propose a non-invasive estimation procedure deriving pressure difference from the work-energy equation for a Newtonian fluid. Spatial and temporal convergence is demonstrated on in silico Phase Contrast Magnetic Resonance Image (PC-MRI) phantoms with steady and transient flow fields. The method is also tested on an image dataset generated in silico from a 3D patient-specific Computational Fluid Dynamics (CFD) simulation and finally evaluated on a cohort of 9 subjects. The performance is compared to existing approaches based on steady and unsteady Bernoulli formulations as well as the pressure Poisson equation. The new technique shows good accuracy, robustness to noise, and robustness to the image segmentation process, illustrating the potential of this approach for non-invasive pressure difference estimation.

KW - 4D flow

KW - Aortic flow

KW - PC-MRI

KW - Pressure differences estimation

KW - Work-energy equation

UR - http://www.scopus.com/inward/record.url?scp=84942257432&partnerID=8YFLogxK

U2 - 10.1016/j.media.2015.08.012

DO - 10.1016/j.media.2015.08.012

M3 - Article

VL - 26

SP - 159

EP - 172

JO - MEDICAL IMAGE ANALYSIS

T2 - MEDICAL IMAGE ANALYSIS

JF - MEDICAL IMAGE ANALYSIS

SN - 1361-8415

IS - 1

ER -

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