Exploring Brushlet Based 3D Textures in Transfer Function Specification for Direct Volume Rendering of Abdominal Organs
- 23 September 2014
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Visualization and Computer Graphics
- Vol. 21 (2), 174-187
- https://doi.org/10.1109/tvcg.2014.2359462
Abstract
Intuitive and differentiating domains for transfer function (TF) specification for direct volume rendering is an important research area for producing informative and useful 3D images. One of the emerging branches of this research is the texture based transfer functions. Although several studies in two, three, and four dimensional image processing show the importance of using texture information, these studies generally focus on segmentation. However, TFs can also be built effectively using appropriate texture information. To accomplish this, methods should be developed to collect wide variety of shape, orientation, and texture of biological tissues and organs. In this study, volumetric data (i.e., domain of a TF) is enhanced using brushlet expansion, which represents both low and high frequency textured structures at different quadrants in transform domain. Three methods (i.e., expert based manual, atlas and machine learning based automatic) are proposed for selection of the quadrants. Non-linear manipulation of the complex brushlet coefficients is also used prior to the tiling of selected quadrants and reconstruction of the volume. Applications to abdominal data sets acquired with CT, MR, and PET show that the proposed volume enhancement effectively improves the quality of 3D rendering using well-known TF specification techniques.Keywords
Funding Information
- The Scientific and Technological Research Council of Turkey TUBITAK (112E032)
This publication has 33 references indexed in Scilit:
- Integrating Segmentation Methods From Different Tools Into a Visualization Program Using an Object-Based Plug-In InterfaceIEEE Transactions on Information Technology in Biomedicine, 2010
- Patient oriented and robust automatic liver segmentation for pre-evaluation of liver transplantationComputers in Biology and Medicine, 2008
- Local Histograms for Design of Transfer Functions in Direct Volume RenderingIEEE Transactions on Visualization and Computer Graphics, 2006
- Fusion of brushlet and wavelet denoising methods for nuclear imagesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- LV volume quantification via spatiotemporal analysis of real-time 3-D echocardiographyIEEE Transactions on Medical Imaging, 2001
- A textural approach based on gabor functions for texture edge detection in ultrasound imagesJapanese Journal of Clinical Oncology, 2001
- Texture information in run-length matricesIEEE Transactions on Image Processing, 1998
- Brushlets: A Tool for Directional Image Analysis and Image CompressionApplied and Computational Harmonic Analysis, 1997
- A filter bank for the directional decomposition of images: theory and designIEEE Transactions on Signal Processing, 1992
- Volume renderingPublished by Association for Computing Machinery (ACM) ,1988