Virtual positioning of ventricular assist device for implantation planning

Abstract The use of Ventricular Assist Devices (VAD) is increasing in the context of refractory heart failure. Nevertheless, there is still a high rate of complications. This preliminary work analyzes more precisely the clinical needs and proposes a first solution for preoperative planning of device implantation. The proposed approach consists in representing within a common space the 3D mesh describing the device and the patient CT image, in order to interactively simulate the device positioning and detect collisions between the VAD and different kinds of surrounding anatomical structures (bones and right ventricle). CT scans from 3 adult patients who have previously received a VAD, were used for the experiments. We analyzed the influence of mesh precision on computation time and accuracy of collision detection. Results show that the proposed approach is compatible with fast and interactive simulation of virtual device positioning, in order to preoperatively plan its implantation. Such a solution could also facilitate the decision-making about the choice of the device taking into consideration the feasibility of implantation.

[1]  M. Taylor,et al.  Virtual implantation evaluation of the total artificial heart and compatibility: Beyond standard fit criteria. , 2014, The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation.

[2]  J. Takala,et al.  Continuous flow left ventricular assist devices: a valid option for heart failure patients. , 2012, Swiss medical weekly.

[3]  Alejandro F. Frangi,et al.  A High-Resolution Atlas and Statistical Model of the Human Heart From Multislice CT , 2013, IEEE Transactions on Medical Imaging.

[4]  E. Flécher,et al.  Histoire de l'assistance circulatoire mécanique et du cœur artificiel , 2006 .

[5]  E. Flécher Assistance circulatoire mécanique de longue durée en 2014 : une alternative à la transplantation cardiaque ? , 2014 .

[6]  Mario J. Garcia,et al.  Evaluation of right ventricular function and post-operative findings using cardiac computed tomography in patients with left ventricular assist devices. , 2011, The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation.

[7]  A. Khera,et al.  Forecasting the Future of Cardiovascular Disease in the United States: A Policy Statement From the American Heart Association , 2011, Circulation.

[8]  S. Russell,et al.  Clinical management of continuous-flow left ventricular assist devices in advanced heart failure. , 2010, The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation.

[9]  Olivier Ecabert,et al.  Optimizing boundary detection via Simulated Search with applications to multi-modal heart segmentation , 2010, Medical Image Anal..

[10]  Guido Gerig,et al.  User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability , 2006, NeuroImage.