State-of-the-art morphological imaging techniques usually provide high resolution 3D images with a huge number
of slices. In clinical practice, however, 2D slice-based examinations are still the method of choice even for these
large amounts of data. Providing intuitive interaction methods for specific 3D medical visualization applications
is therefore a critical feature for clinical imaging applications. For the domain of catheter navigation and surgery
planning, it is crucial to assist the physician with appropriate visualization techniques, such as 3D segmentation
maps, fly-through cameras or virtual interaction approaches. There has been an ongoing development and
improvement for controllers that help to interact with 3D environments in the domain of computer games.
These controllers are based on both motion and infrared sensors and are typically used to detect 3D position and
orientation. We have investigated how a state-of-the-art wireless motion sensor controller (Wiimote), developed
by Nintendo, can be used for catheter navigation and planning purposes. By default the Wiimote controller
only measure rough acceleration over a range of +/- 3g with 10% sensitivity and orientation. Therefore, a pose
estimation algorithm was developed for computing accurate position and orientation in 3D space regarding 4
Infrared LEDs. Current results show that for the translation it is possible to obtain a mean error of (0.38cm,
0.41cm, 4.94cm) and for the rotation (0.16, 0.28) respectively. Within this paper we introduce a clinical prototype
that allows steering of a virtual fly-through camera attached to the catheter tip by the Wii controller on basis
of a segmented vessel tree.