Visualization of Voxel Volume Emission and Absorption of Light in Medical Biology
Journal Title: Current Trends on Biostatistics & Biometrics - Year 2019, Vol 1, Issue 3
Abstract
Background: The study is mainly focused on visualization technique that gives a 3D impression of the whole data set without segmentation. The underlying model is based on the emission and absorption of light that pertains to every voxel of the view volume. The algorithm simulates the casting of light rays through the volume from preset sources. It determines how much light reaches each voxel on the ray and is emitted or absorbed by the voxel. Then it computes what can be seen from the current viewing point as implied by the current placement of the volume relative to the viewing plane, simulating the casting of sight rays through the volume from the viewing point. Volume rendering using computer graphics in scientific visualization is a set of techniques used to display a 2D projection of a discreetly sampled 3D data set, typically a 3D data field, a typical 3D data set is a set of 2D slice images acquired by a CT, MRI or micro CT scanner. Usually these are acquired in a regular pattern (e.g. one slice per millimeter) and usually in a regular pattern have a regular number of image pixels. This is an example of a regular volumetric grid with each volume element or voxel represented by a single value that is obtained by sampling the voxel’s immediate area. Volume rendering involves the following steps: forming an RGBA volume from the data, reconstructing a continuous function from this discrete set of data and projecting it from the desired point of view onto the 2D viewing plane (the output image). Volume rendering is distinguished from thin slice tomography presentations and is also generally distinguished from projections or projections. Fishman et al. [1] Technically, however, when viewed on a 2-dimensional display, all volume renderings become projections, making the difference between projections and volume renderings a little vague. Nevertheless, there is a mix of coloring [2] and shading in the epitomes of volume rendering models to create realistic and/or observable representations.
Authors and Affiliations
Afeez Mayowa Babalola, Lateef Adebayo Babalola, Maxwell Obubu, Taofikat Abidemi Azeez
Keywords
Related Articles
- EP ID EP641988
- DOI 10.32474/CTBB.2019.01.000114
- Views 61
- Downloads 0
On some Derivatives of Vector-Matrix Products Useful for Statistics
In this brief description, we will use the numerator layout [1], and will tacitly assume that all products are conformable. and since 𝒰t𝒱 is a scalar, we are facing a particular case of the derivative of a scalar λ with...
The Gompertz Length Biased Exponential Distribution and its application to Uncensored Data
This paper proposes a generalization of the length biased exponential distribution, called the Gompertz length biased exponential (GLBE) distribution. Some of the basic properties of the proposed model were derived in mi...
Model Selection in Regression: Application to Tumours in Childhood
We give a chronological review of the major model selection methods that have been proposed from circa 1960. These model selection procedures include Residual mean square error (MSE), coefficient of multiple determinatio...
P Value and Statistical Significance
The practice of reporting P-values is commonplace in applied research. Presenting the result of a test only as the rejection or acceptance of the null hypothesis at a certain level of significance, does not make full use...
Modeling Lifetime Data with the Odd Generalized Exponentiated Inverse Lomax Distribution
We propose a four parameter compound continuous distribution in this study. Simulation studies was carried out to investigate the behavior of the proposed distribution, from which the maximum likelihood estimates for the...