  Medical visualization is the use of computers to create 3D images from
medical imaging data sets, almost all surgery and cancer treatment in the
developed world relies on it.Volume visualization techniques includes
iso-surface visualization, mesh visualization and point cloud visualization
techniques, these techniques have revolutionized medicine. Much of modern
medicine relies on the 3D imaging that is possible with magnetic resonance
imaging (MRI) scanners, functional magnetic resonance imaging (fMRI)scanners,
positron emission tomography (PET) scanners, ultrasound imaging (US) scanners,
X-Ray scanners, bio-marker microscopy imaging scanners and computed tomography
(CT) scanners, which make 3D images out of 2D slices. The primary goal of this
report is the application-oriented optimization of existing volume rendering
methods providing interactive frame rates. Techniques are presented for
traditional alpha-blending rendering, surface-shaded display, maximum intensity
projection (MIP), and fast previewing with fully interactive parameter control.
Different preprocessing strategies are proposed for interactive iso-surface
rendering and fast previewing, such as the well-known marching cube algorithm.
