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CMIB – Cardiac Modelling and Imaging Biomarkers

Image segmentation and registration. Computational atlases of cardiac anatomy. Risk stratification and patient selection. Surgical planning and navigation. Improving surgical decisions in HLHS. The Cardiac Modelling and Imaging Biomarkers (CMIB) group develops technological advances in medical imaging. And computational physiological modelling. In order to propose novel biomarkers. That will enable a better management of cardiovascular diseases. We sit in St Thomas’ Hospital, in the heart of London.

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CMIB – Cardiac Modelling and Imaging Biomarkers | cmib.website Reviews

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Image segmentation and registration. Computational atlases of cardiac anatomy. Risk stratification and patient selection. Surgical planning and navigation. Improving surgical decisions in HLHS. The Cardiac Modelling and Imaging Biomarkers (CMIB) group develops technological advances in medical imaging. And computational physiological modelling. In order to propose novel biomarkers. That will enable a better management of cardiovascular diseases. We sit in St Thomas’ Hospital, in the heart of London.

<META> KEYWORDS

1 our research

2 medical imaging

3 echocardiography

4 magnetic resonance imaging

5 computational modeling

6 model personalization

7 computational methods

8 biomarkers

9 diastolic biomarkers

10 computational anatomy

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our research,medical imaging,echocardiography,magnetic resonance imaging,computational modeling,model personalization,computational methods,biomarkers,diastolic biomarkers,computational anatomy,non invasive blood pressure,applications,projects,people,news

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CMIB – Cardiac Modelling and Imaging Biomarkers | cmib.website Reviews

https://cmib.website

Image segmentation and registration. Computational atlases of cardiac anatomy. Risk stratification and patient selection. Surgical planning and navigation. Improving surgical decisions in HLHS. The Cardiac Modelling and Imaging Biomarkers (CMIB) group develops technological advances in medical imaging. And computational physiological modelling. In order to propose novel biomarkers. That will enable a better management of cardiovascular diseases. We sit in St Thomas’ Hospital, in the heart of London.

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cmib.website

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Diastolic biomarkers – CMIB

http://cmib.website/diastolic-biomarkers

Image segmentation and registration. Computational atlases of cardiac anatomy. Risk stratification and patient selection. Surgical planning and navigation. Improving surgical decisions in HLHS. The extraction of diastolic biomarkers is enabled by advances in:. Image analysis techniques to retrieve the deformation field from dynamic sequences. Computational model personalization techniques. Novel imaging acquisition protocols that will remove the need of invasive pressure recordings.

2

In-silico experimentation – CMIB

http://cmib.website/in-silico-experimentation

Image segmentation and registration. Computational atlases of cardiac anatomy. Risk stratification and patient selection. Surgical planning and navigation. Improving surgical decisions in HLHS. CMIB develops the methodology to conduct both personalised (with specific patient characteristics) or poblational (covering a range of physiological variation) studies. Our interest focuses on the electro-mechanical function of the heart. Estimation of Diastolic Biomarkers: Sensitiviy to Fibre Orientation.

3

Analysis and quantification of magnetic resonance imaging – CMIB

http://cmib.website/analysis-and-quantification-of-magnetic-resonance-imaging

Image segmentation and registration. Computational atlases of cardiac anatomy. Risk stratification and patient selection. Surgical planning and navigation. Improving surgical decisions in HLHS. Analysis and quantification of magnetic resonance imaging. To extract mechanical parameters. From the deformation, and to analyse phase-contrast MRI sequences that capture blood velocity (see video below) to compute central blood pressure. Images as drivers of progress in cardiac computational modelling.

4

Publications – CMIB

http://cmib.website/publications

Image segmentation and registration. Computational atlases of cardiac anatomy. Risk stratification and patient selection. Surgical planning and navigation. Improving surgical decisions in HLHS. Beyond Bernoulli: Improving the Accuracy and Precision of Noninvasive Estimation of Peak Pressure Drops. Improved identifiability of myocardial material parameters by an energy-based cost function. Recurrent fully convolutional neural networks for multi-slice MRI cardiac segmentation. Distributed Data Management S...

5

Improving surgical decisions in HLHS – CMIB

http://cmib.website/improving-surgical-decisions-in-hlhs

Image segmentation and registration. Computational atlases of cardiac anatomy. Risk stratification and patient selection. Surgical planning and navigation. Improving surgical decisions in HLHS. Improving surgical decisions in HLHS. Further information: Action Medical Research.

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CMIB – Cardiac Modelling and Imaging Biomarkers

Image segmentation and registration. Computational atlases of cardiac anatomy. Risk stratification and patient selection. Surgical planning and navigation. Improving surgical decisions in HLHS. The Cardiac Modelling and Imaging Biomarkers (CMIB) group develops technological advances in medical imaging. And computational physiological modelling. In order to propose novel biomarkers. That will enable a better management of cardiovascular diseases. We sit in St Thomas’ Hospital, in the heart of London.

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