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High-fidelity Cardiovascular Modeling from Super-Fast Magnetic Resonance Imaging

Project description

Patient-specific cardiovascular modeling

Patient-specific cardiac modelling relies on clinical data obtained from magnetic resonance imaging (MRI). However, MRI fails to provide kinematic information of thin structures such as cardiac valves and the arterial wall. To address this shortcoming, the EU-funded CardioZoom project proposes a new paradigm in biophysical computational models of the cardiovascular system. In this respect, scientists aim to replace long MRI scans with short time scans and at the same time obtaining reliable information on delicate cardiac structures. The novel CardioZoom approach will be validated in volunteers and is expected to lead to the detailed characterisation of the cardiovascular system on an individual patient basis.

Objective

Biophysical computational models of the cardiovascular system need to be adapted to each particular patient from clinical data. The state-of-the-art imaging method for assessing cardiovascular diseases is Magnetic Resonance Imaging (MRI), which is hence the preferred source of data for the personalization of the models. However, MRI is still not able to reliably image the kinematics of thin structures like cardiac valves and the arterial wall. Moreover, MRI measurements of the 3D kinematics of the heart is a challenging task. These restrictions hamper the clinical translation of patient-specific modeling. Therefore, a new paradigm for model personalization is urgently needed. The ambition of CardioZoom is to propose novel methods for biophysical parameter estimation in computational models of the heart, large vessels and valves using MRI data acquired in very short scan times. The approach will be based on the deep integration imaging and biophysical principles, relaxing the constraints of standard cardiovascular imaging implying long MRI scans. Extensive validations using experimental (phantom) data will be performed and tests on volunteer and patients data are planned. The findings of CardioZoom will allow obtaining clinically feasible, detailed characterizations of the cardiovascular system.

Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

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ERC-STG - Starting Grant

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Call for proposal

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(opens in new window) ERC-2019-STG

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Host institution

RIJKSUNIVERSITEIT GRONINGEN
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 1 498 514,00
Address
Broerstraat 5
9712CP Groningen
Netherlands

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Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 1 498 514,00

Beneficiaries (1)

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