Eurographics Workshop on Visual Computing for Biomedicine (2008) C. P. Botha, G. Kindlmann, W. J. Niessen, and B. Preim (Editors) An Integrated Platform for Dynamic Cardiac Simulation and Image Processing: Application to Personalised Tetralogy of Fallot Simulation N. Toussaint, T. Mansi, H. Delingette, N. Ayache and M. Sermesant INRIA, Asclepios Team, Sophia-Antipolis, France Abstract Processing and visualisation of dynamic data is still a common challenge in medical imaging, especially as for many applications there is an increasing amount of clinical data as well as generated data, such as in cardiac modelling. In this context, there is a strong need for software that can deal with dynamic data of different kinds (i.e. images, meshes, signals, etc.). In this paper we propose a platform that aims at helping researchers and clinicians to visualise and process such dynamic data, as well as evaluate simulation results. To illustrate this platform we chose to follow a concrete clinical application, the personalised simulation of the Tetralogy of Fallot. We show that the software provides the user with a significant help in the assessment and processing of the 3D+t raw data, as well as an adapted framework for visualisation and evaluation of various dynamic simulation results. Categories and Subject Descriptors (according to ACM CCS): I.4.9 [Image Processing and Computer Vision]: Dy- namic medical data processing and visualisation 1. Introduction Cardiac imaging and simulation involve a lot of different kinds of datasets that have to be processed and visualised. These data can be composed of scalar images, surfaces and volumetric meshes, curves, etc. Moreover, one has to take into consideration that all this information intrinsically de- pends on time as we deal with a dynamic process such as the cardiac function. It is also known that cardiac simulation requires important pre-processing steps to prepare the data in order to build an anatomical model of the heart from a clinical examination. 1.1. Context and Objectives A significant amount of software have recently appeared in the community concerning dynamic medical data processing and visualisation. While Osirix [RSR04] targets clinicians and mainly focuses on DICOM exam image visualisation, other software such as Slicer3D [3DS] or ParaView [Par] provide researchers with a large range of processing and visualisation tools. A third group of software consists on frameworks that aim at helping researchers to build a specific application [MeV][Ope][MIT]. However, there is no com- monly known platform specially oriented for cardiac studies and suitable both for the clinical and the research communi- ties. In this context, we propose to provide the clinicians and researchers with a freely available integrated platform specifically designed for dynamic cardiac data processing and visualisation [Car]. The main objective of this platform is to provide a set of tools aiming at pre-processing clinical data for cardiac simulation, as well as intuitive ways of evaluating simu- lation results. Indeed, simulating the cardiac function re- quires the definition of a geometric model of the heart as input. This model has to contain physiological parameters (i.e. contractility, conductivity) specific to a given patient to create the initial conditions for the simulation. By offer- ing user-friendly tools for performing all the necessary pre- processing steps, we help the user building a patient-specific model of the heart. Dynamic cardiac simulation results can later be evaluated in the platform, creating in this way a c  The Eurographics Association 2008.