Project Abstract

This project focuses on developing an interactive volume rendering module using a two-dimensional transfer function (2DTF) on cone-beam computed tomography (CBCT) data. With the increasing significance of CBCT in medical imaging, the need for more effective visualization techniques has become apparent. This research aims to address this need by proposing a novel approach that enhances the visualization of soft tissue boundaries and aids in differentiating various tissues within the CBCT volume. The main method employed involves the integration of GPU and OpenGL-based ray cast algorithms to render volume data. Through experimentation and comparison with existing methods, our findings reveal that the proposed 2DTF significantly improves the rendering quality of CBCT images, providing clearer differentiation between tissues and enhancing pre-operative surgical planning. This work contributes to the advancement of medical imaging visualization techniques, offering a valuable tool for clinicians and researchers in accurately interpreting CBCT data for diagnostic and planning purposes

Keywords: Interactive Volume Rendering, Cone-beam computed tomography, Visualization

 Conference Details

Session: Presentation Stream 11 at Presentation Slot 1

Location: College 127 at Tuesday 7th 13:30 – 17:00

Markers: Nicholas Micallef, Alec Critten (GTA)

Course: MSc Computer Science, Masters PG

Future Plans: I’m looking for an industry placement