Visualization of variations in human brain morphology using differentiating reflection functions

Computer Science – Graphics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

10 pages, keywords: MRI, Medical Visualization, Volume rendering, BRDF, Specular reflection overlap

Scientific paper

Conventional visualization media such as MRI prints and computer screens are inherently two dimensional, making them incapable of displaying true 3D volume data sets. By applying only transparency or intensity projection, and ignoring light-matter interaction, results will likely fail to give optimal results. Little research has been done on using reflectance functions to visually separate the various segments of a MRI volume. We will explore if applying specific reflectance functions to individual anatomical structures can help in building an intuitive 2D image from a 3D dataset. We will test our hypothesis by visualizing a statistical analysis of the genetic influences on variations in human brain morphology because it inherently contains complex and many different types of data making it a good candidate for our approach

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Visualization of variations in human brain morphology using differentiating reflection functions does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Visualization of variations in human brain morphology using differentiating reflection functions, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Visualization of variations in human brain morphology using differentiating reflection functions will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-120624

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.