The case study presents a medical Web service for the automatic analysis of CTA (computer tomography angiography) datasets. It aims at the detection and evaluation of intracranial aneurysms which are malformations of cerebral blood vessels. To obtain a standardized 3D visualization, digital videos are automatically generated. The time-consuming video production caused by the manual delineation of structures, software based volume rendering, and the interactive definition of an optimized camera path is considerably improved with a fully automatic strategy. Therefore, a previously suggested approach (C. Rezk-Salama, 2000) is applied which uses an optimized transfer function as a template and automatically adapts it to an individual dataset. Furthermore, we introduce hardware-accelerated morphologic filtering in order to detect the location of mid-size and giant aneurysms. The actual generation of the video is finally integrated into a hardware accelerated off-screen rendering process based on 3D texture mapping, ensuring fast visualization of high quality. Overall, clinical routine can be considerably assisted by providing a Web based service combining automatic detection and standardized visualization.
['Sabine Iserhardt-Bauer', 'Peter Hastreiter', 'Thomas Ertl', 'K. E. W. Eberhardt', 'Bernd Tomandl']
Case study: medical web service for the automatic 3D documentation for neuroradiological diagnosis