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Imaging and multimodality analyses for patient management

e-Cardiology


This session concerned the topic of use of sophisticated computer modeling, analysis and fusion of cardiovascular imaging data. The use of non-invasive imaging has increased significantly over the last decade, and the 4 important imaging modalities include echocardiography, nuclear imaging, cardiac computed tomography (CT) and magnetic resonance imaging (MRI).
Enormous technical developments have been achieved in all the different imaging modalities, with the introduction of 3D echocardiography, CT angiography, 3 Tesla MRI, and nuclear techniques for molecular imaging. The sustainability of imaging is heavily dependent on data analysis based on computer modeling techniques, but also technical support in fusion imaging, for example.
The session was focused on discussing these issues. The first talk, delivered by Dr van Dam (Nijmegen, The Netherlands) addressed computed analysis of MRI data and modeling. Particularly in functional analysis, such as left ventricular function, it is important to develop sophisticated software in parallel to the clinical demand for increased accuracy of information.
The second talk was given by Dr Gaemperli (Zurich, Switzerland) and concerned fusion imaging. In clinical cardiology, both anatomic and functional information is important, and is often derived from different imaging modalities. Here, it is important to align, integrate and fuse this information, and there is a rapid increase in fusing of the different modalities, such as PET-CT, SPECT-CT, but also PET-MRI and possibly CT-echocardiography.
The third talk, provided by Dr Malik (Purley, UK) addressed the value of sophisticated ECG analysis. In cardiology, the imaging information includes anatomical and functional information, but electrical information is equally important, and Dr Malik highlighted the use of sophisticated ECG analyses, for example, in the prediction of patient outcome.
The fourth and last talk was given by Dr van Domburg (Rotterdam, The Netherlands) and concerned the statistical analysis of cardiovascular imaging data. With the complexity of imaging data, the statistical analysis becomes equally complex, and guidance by experts in this field is key.
In conclusion, this session addressed different aspects related to cardiovascular imaging; this time, the imaging techniques were not the topic, but rather the different analyses underlying imaging.

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SessionTitle:

Imaging and multimodality analyses for patient management

The content of this article reflects the personal opinion of the author/s and is not necessarily the official position of the European Society of Cardiology.