Volume visualization based on the intensity and SUSAN transfer function spaces. (April 2015)

• Record Type: Journal Article
• Authors: Song, Yipeng; Yang, Jie; Qiao, Yu; Zhu, Yuemin
• Is Part Of: Biomedical signal processing and control. Volume 18(2015)
• Page Start: 110
• Page End: 117
• Publication Date: 2015-04
• Subjects: Direct volume rendering -- Transfer function -- 3D SUSAN algorithm -- Volume visualization; Signal processing -- Periodicals; Biomedical engineering -- Periodicals; Signal Processing, Computer-Assisted -- Periodicals; Image Processing, Computer-Assisted -- Periodicals; Biomedical Engineering -- Periodicals; 610.28
• DOI: 10.1016/j.bspc.2014.12.002
• Languages: English
• ISSNs: 1746-8094

Abstract

Abstract : Highlights: A novel 2D IS transfer function space for distinguishing different materials have been proposed. Boundary of different materials exhibits as a 'trapezoid' shape in the proposed space. Boundary information in the IS space is much better brought out in comparison to the IGM space. The IS space provides much more intuitive suggestions than the IGM space in order that transfer functions can be more easily designed. The proposed approach can be used to explore various medical volume data. Abstract: Designing transfer functions is a challenging task for medical volume data visualization, especially when an arch of the same boundary disperses seriously and adjacent arches are intersected in the intensity and gradient magnitude (IGM) transfer function space. In this paper, a novel transfer function space is proposed to better highlight and differentiate different materials in realistic volume datasets. The proposed method combines the intensity values and three-dimensional (3D) SUSAN (Smallest Univalue Segment Assimilating Nucleus) edge responses of the original data to define the intensity and SUSAN (IS) transfer function space. The results of various datasets in volume rendering show that boundary of different materials exhibits a trapezoidal shape in the proposed IS space, and boundary information is much better brought out in comparison to the IGM space. Thus the IS space provides much more intuitive clues than the IGM space in order that transfer functions can be more easily designed. Meanwhile, more details of materials of interest are visible in the rendering images.