Abstract
This article describes the common visualization of medical images and effective optimization method proposed from different perspectives. Ultimately, the authors propose their own best method and use test data to prove the validity of the method.
Highlights
Since 70s of 20th century, many rendering methods for data visualization have been proposed and successfully applied to the medical field
Direct volume rendering is a computationally intensive task that may be performed in several ways
A direct volume renderer requires every sample value to be mapped to opacity and a color
Summary
Since 70s of 20th century, many rendering methods for data visualization have been proposed and successfully applied to the medical field. There are mainly two types of methods, surface rendering and volume rendering, for visualization of three-dimensional data field. A direct volume renderer requires every sample value to be mapped to opacity and a color. This is done with a "transfer function" which can be a simple ramp, a piecewise linear function or an arbitrary table. Once converted to an RGBA (for red, green, blue, alpha) value, the composed RGBA result is projected on correspondent pixel of the frame buffer. The way this is done depends on the rendering technique. A shear warp implementation could use texturing hardware to draw the aligned slices in the off-screen buffer
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
