Isosurface rendering of medical images improved by automatic texture mapping

摘要

Advances in medical imaging modalities have allowed the acquisition of large collections of volumetric images for clinical and training purposes, such as Computerized Tomography, Magnetic Resonance Imaging, Mammography, Fluoroscopy, X-Ray Microtomography, Positron Emission Tomography and Ultrasonography. Volume rendering has proved to be a very flexible and effective technique for exploring and visualizing such massive medical data sets. Realistic models of complex human anatomical structures can be constructed and manipulated by medical professionals to enhance internal structures of interest. This work proposes and evaluates a novel isosurface rendering method for medical images improved by automatic texture mapping. The texture information is generated through different volume projection approaches. Experiments conducted on several data sets demonstrate the effectiveness of the proposed rendering method.