Limits...
Curve interpolation model for visualising disjointed neural elements.

Rahim MS, Razzali N, Sunar MS, Altameem A, Rehman A - Neural Regen Res (2012)

Bottom Line: Existing neuron models have been found to be defective in the aspect of realism.Whereas in the actual biological neuron, there is continuous growth as the soma extending to the axon and the dendrite; but, the current neuron visualization models present it as disjointed segments that has greatly mediated effective realism.The result shows about 82% acceptance and satisfaction rate.

View Article: PubMed Central - PubMed

Affiliation: UTMViCubeLab, Department of Computer Graphics and Multimedia, FSKSM, University of Technology, Skudai 81310, Malaysia.

ABSTRACT
Neuron cell are built from a myriad of axon and dendrite structures. It transmits electrochemical signals between the brain and the nervous system. Three-dimensional visualization of neuron structure could help to facilitate deeper understanding of neuron and its models. An accurate neuron model could aid understanding of brain's functionalities, diagnosis and knowledge of entire nervous system. Existing neuron models have been found to be defective in the aspect of realism. Whereas in the actual biological neuron, there is continuous growth as the soma extending to the axon and the dendrite; but, the current neuron visualization models present it as disjointed segments that has greatly mediated effective realism. In this research, a new reconstruction model comprising of the Bounding Cylinder, Curve Interpolation and Gouraud Shading is proposed to visualize neuron model in order to improve realism. The reconstructed model is used to design algorithms for generating neuron branching from neuron SWC data. The Bounding Cylinder and Curve Interpolation methods are used to improve the connected segments of the neuron model using a series of cascaded cylinders along the neuron's connection path. Three control points are proposed between two adjacent neuron segments. Finally, the model is rendered with Gouraud Shading for smoothening of the model surface. This produce a near-perfection model of the natural neurons with attended realism. The model is validated by a group of bioinformatics analysts' responses to a predefined survey. The result shows about 82% acceptance and satisfaction rate.

No MeSH data available.


Illustration of locator's bounding radius (RL), the radius of cylinder bounding the neuron segment (also known as locator).
© Copyright Policy - open-access
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC4308766&req=5

Figure 5: Illustration of locator's bounding radius (RL), the radius of cylinder bounding the neuron segment (also known as locator).

Mentions: Locator's bounding radius: The accessible radius locator's bounding radius is defined as if a cylinder is constructed using the locating position's normal as the cylinder axis, and the satisfactory accessible height as the cylinder height, the accessible radius locator's bounding radius is the maximal radius the cylinder can be constructed without interface with the work piece geometry. The locator's bounding radius is total additional length of neuron's radius (RID(n)) as illustrated in Figure 5.


Curve interpolation model for visualising disjointed neural elements.

Rahim MS, Razzali N, Sunar MS, Altameem A, Rehman A - Neural Regen Res (2012)

Illustration of locator's bounding radius (RL), the radius of cylinder bounding the neuron segment (also known as locator).
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4308766&req=5

Figure 5: Illustration of locator's bounding radius (RL), the radius of cylinder bounding the neuron segment (also known as locator).
Mentions: Locator's bounding radius: The accessible radius locator's bounding radius is defined as if a cylinder is constructed using the locating position's normal as the cylinder axis, and the satisfactory accessible height as the cylinder height, the accessible radius locator's bounding radius is the maximal radius the cylinder can be constructed without interface with the work piece geometry. The locator's bounding radius is total additional length of neuron's radius (RID(n)) as illustrated in Figure 5.

Bottom Line: Existing neuron models have been found to be defective in the aspect of realism.Whereas in the actual biological neuron, there is continuous growth as the soma extending to the axon and the dendrite; but, the current neuron visualization models present it as disjointed segments that has greatly mediated effective realism.The result shows about 82% acceptance and satisfaction rate.

View Article: PubMed Central - PubMed

Affiliation: UTMViCubeLab, Department of Computer Graphics and Multimedia, FSKSM, University of Technology, Skudai 81310, Malaysia.

ABSTRACT
Neuron cell are built from a myriad of axon and dendrite structures. It transmits electrochemical signals between the brain and the nervous system. Three-dimensional visualization of neuron structure could help to facilitate deeper understanding of neuron and its models. An accurate neuron model could aid understanding of brain's functionalities, diagnosis and knowledge of entire nervous system. Existing neuron models have been found to be defective in the aspect of realism. Whereas in the actual biological neuron, there is continuous growth as the soma extending to the axon and the dendrite; but, the current neuron visualization models present it as disjointed segments that has greatly mediated effective realism. In this research, a new reconstruction model comprising of the Bounding Cylinder, Curve Interpolation and Gouraud Shading is proposed to visualize neuron model in order to improve realism. The reconstructed model is used to design algorithms for generating neuron branching from neuron SWC data. The Bounding Cylinder and Curve Interpolation methods are used to improve the connected segments of the neuron model using a series of cascaded cylinders along the neuron's connection path. Three control points are proposed between two adjacent neuron segments. Finally, the model is rendered with Gouraud Shading for smoothening of the model surface. This produce a near-perfection model of the natural neurons with attended realism. The model is validated by a group of bioinformatics analysts' responses to a predefined survey. The result shows about 82% acceptance and satisfaction rate.

No MeSH data available.