Web-based visualisation of MRI cardiac images

Torres Bisbal, Melanie

Web-based visualisation of MRI cardiac images

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Citació

Torres Bisbal, M. Web-based visualisation of MRI cardiac images. 2015. handle: http://hdl.handle.net/10230/25433

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Resum

Recent years have seen an explosion in the popularity and availability of web-based applications that allow direct creation and editing of content (such as documents, photos and video) within the browser. One of the reasons for this popularity is that such tools offer many features that are difficult or impossible to achieve with their offline equivalents, such as collaborative and remote working, easy sharing of content, remote visualisation, annotations, etc. The healthcare sector is not an exception and there is an increasing number of visualisation and image processing platforms starting to port their products towards web-based solutions that allow features such as remote second medical opinions. Nevertheless, most of these advances are still in their infancy and they have not really been translated into a clinical environment. MedInria (http://med.inria.fr/) is a multi-platform medical image processing and visualisation Open-Source software, which does not yet explored the web as a tool for its purpose; yet there is a strong incentive to bring the benefits of web applications to medInria, as it could potentially help doctors with their daily tasks, such as diagnosis, consultation, interventions, etc. The main objective of this project is to create a Web-based visualization based on the medInria software, allowing the sharing of content between remote users, permitting them to give feedback and to discuss 3D multimodal data. The main research challenges that have been tackled in this project include rendering 3D medical meshes in a web context, user interactivity with the medical data (e.g. annotations, joint visualization of images and meshes, etc.) and the connection between the web viewer and the stand-alone medInria application. The developed application has been tested on a pilot case to visualize and interactively process MRI data of the heart as well as to integrate it with electro-anatomical mapping data of the same patient. The application was tested by several healthcare professionals. Very positive feedback and potential improvements for a clinical translation of the developed tool have been gathered in the evaluation process.