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GPU-based multi-volume ray casting within VTK for medical applications.

Mohammadmehdi Bozorgi¹, Frank Lindseth

¹Department of Computer and Information Science, Norwegian University of Science and Technology, Sem Saelandsvei 7-9, 7491 , Trondheim, Norway, mohammeb@idi.ntnu.no.

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|May 21, 2014

Summary

This summary is machine-generated.

A new GPU-based multi-volume ray caster (MVRC) provides efficient visualization for medical imaging. This system achieves interactive frame rates, proving clinically useful in image-guided neurosurgery.

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Area of Science:

Medical Visualization
Computer Graphics
Image-Guided Surgery

Background:

Multi-volume visualization is crucial for complex medical imaging studies.
Traditional ray casting is computationally intensive, especially for multiple datasets.
Efficient visualization systems are needed for real-time applications like surgical navigation.

Purpose of the Study:

To develop an efficient, GPU-based multi-volume ray caster (MVRC).
To validate the MVRC system for image-guided surgical navigation.
To integrate the MVRC into the Visualization Toolkit (VTK) pipeline.

Main Methods:

Implemented a parallel GPU version of ray casting for multi-volume data.
Utilized front-to-back alpha blending for sample compositing.
Integrated the MVRC within the VTK pipeline, allowing per-volume operations.
Tested performance with volumes of varying sizes (128^3 to 512^3) on a Tesla C2070 GPU.

Main Results:

Achieved interactive frame rates (>15 fps) for rendering up to five volumes.
MVRC performance was comparable to single-volume ray casting for smaller datasets.
Demonstrated clinical utility in an ultrasound-guided neurosurgical tumor resection.
The system achieved interactive frame rates rendering five small (128^3), four medium (256^3), and two large (512^3) volumes.

Conclusions:

A GPU-based MVRC for VTK is a valuable tool for medical visualization.
The MVRC delivers high-quality images at interactive frame rates.
The system proved effective and useful in a neurosurgical navigation application.