Revised thesis defense announcement
University of Houston
Department of Computer Science


In partial fulfillment of the Requirements for the Degree of
Master of Science


Wolfram Volpi
will defend his thesis

COMPARISON OF INTERPOLATION METHODS FOR
VOLUME RENDERING





Abstract

To render medical three-dimensional scenes of discrete data onto two-dimensional images often requires interpolation. In ray-casting, each pixel of an image casts a ray into the scene. The ray usually passes between data points. Interpolation methods are needed to estimate values for ray points that fall between data points.

Several techniques for evaluating interpolation methods are described in the relevant literature, but none evaluate the quality of the rendering. The objective of this thesis is to present a method of objectively comparing the effects of various interpolation methods on the quality of the final rendering.

There are two experiments; both test interpolation methods on ray-casting functions. The first experiment renders four synthetic models. An exact image is rendered by computing ray samples directly from a mathematical model. The model also synthesizes a scene of voxels, which are then rendered with various interpolation methods. The interpolated image that comes closest to the exact image is considered superior. In particular, it was shown that cubic interpolation and linear interpolation are more accurate than nearest-neighbor interpolation. The second experiment renders actual MRI data.




Date: Thursday, May 3, 2001
Time: 9:30 AM
Place: University Business Park building 3, conference room 293



Faculty, students, and the general public are invited.
Thesis Advisor: Dr. Kakadiaris