[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.9717/JMIS.2018.5.1.35

Occlusion-based Direct Volume Rendering for Computed Tomography Image

Jung, Younhyun (Bio Standard Inc.)

Publication Information

Journal of Multimedia Information System / v.5, no.1, 2018 , pp. 35-42 More about this Journal

Abstract

Direct volume rendering (DVR) is an important 3D visualization method for medical images as it depicts the full volumetric data. However, because DVR renders the whole volume, regions of interests (ROIs) such as a tumor that are embedded within the volume maybe occluded from view. Thus, conventional 2D cross-sectional views are still widely used, while the advantages of the DVR are often neglected. In this study, we propose a new visualization algorithm where we augment the 2D slice of interest (SOI) from an image volume with volumetric information derived from the DVR of the same volume. Our occlusion-based DVR augmentation for SOI (ODAS) uses the occlusion information derived from the voxels in front of the SOI to calculate a depth parameter that controls the amount of DVR visibility which is used to provide 3D spatial cues while not impairing the visibility of the SOI. We outline the capabilities of our ODAS and through a variety of computer tomography (CT) medical image examples, compare it to a conventional fusion of the SOI and the clipped DVR.

Keywords

Direct Volume Rendering; Occlusion; Medical Image Visualization; Computed Tomography;

Citations & Related Records

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