Evaluation of angiogram visualization methods for fast and reliable aneurysm diagnosis

Žiga Lesar; Ciril Bohak; Matija Marolt

doi:10.1117/12.2082179

17 March 2015 Evaluation of angiogram visualization methods for fast and reliable aneurysm diagnosis

Žiga Lesar, Ciril Bohak, Matija Marolt

Proceedings Volume 9416, Medical Imaging 2015: Image Perception, Observer Performance, and Technology Assessment; 94161D (2015) https://doi.org/10.1117/12.2082179
Event: SPIE Medical Imaging, 2015, Orlando, Florida, United States

Abstract

In this paper we present the results of an evaluation of different visualization methods for angiogram volumetric data-ray casting, marching cubes, and multi-level partition of unity implicits. There are several options available with ray-casting: isosurface extraction, maximum intensity projection and alpha compositing, each producing fundamentally different results. Different visualization methods are suitable for different needs, so this choice is crucial in diagnosis and decision making processes. We also evaluate visual effects such as ambient occlusion, screen space ambient occlusion, and depth of field. Some visualization methods include transparency, so we address the question of relevancy of this additional visual information. We employ transfer functions to map data values to color and transparency, allowing us to view or hide particular tissues. All the methods presented in this paper were developed using OpenCL, striving for real-time rendering and quality interaction. An evaluation has been conducted to assess the suitability of the visualization methods. Results show superiority of isosurface extraction with ambient occlusion effects. Visual effects may positively or negatively affect perception of depth, motion, and relative positions in space.

Citation Download Citation

Žiga Lesar, Ciril Bohak, and Matija Marolt "Evaluation of angiogram visualization methods for fast and reliable aneurysm diagnosis", Proc. SPIE 9416, Medical Imaging 2015: Image Perception, Observer Performance, and Technology Assessment, 94161D (17 March 2015); https://doi.org/10.1117/12.2082179

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