Autostereoscopic visualization of the patient׳s anatomy has the potential to be combined with augmented reality, which has been reported to increase the surgical instrument placement accuracy. Stereoscopic images are being used in various clinical applications, such as surgical planning, surgical navigation, ,, minimally invasive endoscopic surgery, autostereoscopic intracranial MRA visualization, and endovascular interventional treatment. This alleviates the mental burden on the physician, and allows to focus on the clinical treatment rather than on interaction with the computer. ![]() Furthermore, it reduces the need to manually rotate the datasets, since the three-dimensional nature of the data can be appreciated in a single glance. The addition of depth perception allows faster and better interpretation of the morphology of the patient׳s pathology and contextual anatomy. The quantitative aspects of the latency of the proposed building blocks and the resulting image quality have been measured.Īutostereoscopic visualization in minimally invasive interventional clinical procedures enables physicians to perceive depth in medical images during the procedure. Furthermore, the optimal view resolution for a multi-view autostereoscopic lenticular display has been determined by investigating the lenticular lattice in the frequency domain. These strategies are balanced while optimizing the latency and image quality using a fuzzy logic approach. Two complementary strategies to improve the latency of the entire chain are introduced and examined: lowering the resolution of the rendered views and reducing the amount of rendered views by smartly interpolating the missing views at receiver side. The various building blocks of such a visualization chain and their latency aspects are explored in this paper. ![]() This is a challenging constraint for interactive autostereoscopic multi-view volume rendering of large datasets. ![]() In order to use visual feedback in the hand-eye coordinated loop, the latency of the visualization chain should be less than approximately 250–300 ms. Autostereoscopic visualization in clinical image-guided interventions and therapy poses constrains on the maximal latency in the visualization chain.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |