Title :
Distance-Based Focus + Context Models for Exploring Large Volumetric Medical Datasets
Author_Institution :
Inst. of Software, Beijing Normal Univ., Beijing, China
Abstract :
The exploration and visualization of large volumetric medical datasets from high-resolution computed tomography (CT) and medical resonance imaging (MRI) medical images are slow in rendering speed because of the large amount of data. Distance-based methods can address such issues, based on GPU volume raycasting and the idea of focus + context.
Keywords :
biomedical MRI; computerised tomography; graphics processing units; medical image processing; rendering (computer graphics); CT medical image; GPU volume raycasting; MRI medical images; distance-based focus + context models; distance-based methods; high-resolution computed tomography; large volumetric medical datasets; medical resonance imaging medical image; rendering speed; Computed tomography; Context awareness; Decision support systems; Medical information systems; Rendering (computer graphics); Scientific computing; Visualization; Volume measurement; GPU raycaster; focus + context techniques; importance-driven volume rendering; scientific computing; volume illustration;
Journal_Title :
Computing in Science & Engineering
DOI :
10.1109/MCSE.2011.114
