3-D visualization of arterial structures using ultrasound and Voxel modelling

1989 ◽  
Vol 4 (2-4) ◽  
pp. 135-143 ◽  
Author(s):  
Richard I. Kitney ◽  
Lincoln Moura ◽  
Keith Straughan
Keyword(s):  
Voxel Modelling

3-D visualization of arterial structures using ultrasound and Voxel modelling

1989 ◽  
pp. 135-143 ◽  
Author(s):  
Richard I. Kitney ◽  
Lincoln Moura ◽  
Keith Straughan
Keyword(s):  
Voxel Modelling

scholarly journals A method for cognitive 3D geological voxel modelling of AEM data

2013 ◽  
Vol 72 (3-4) ◽  
pp. 421-432 ◽  
Author(s):  
Flemming Jørgensen ◽  
Rasmus Rønde Møller ◽  
Lars Nebel ◽  
Niels-Peter Jensen ◽  
Anders Vest Christiansen ◽  
...  
Keyword(s):  
Voxel Modelling

scholarly journals How subsurface voxel modelling and uncertainty analysis contribute to habitat-change prediction and monitoring

2017 ◽  
Author(s):  
V Van Lancker ◽  
L Kint ◽  
G Montereale-Gavazzi ◽  
N Terseleer ◽  
V Chademenos ◽  
...  
Keyword(s):  
Uncertainty Analysis ◽  
Habitat Change ◽  
Change Prediction ◽  
Voxel Modelling

scholarly journals 3D subsurface characterisation of the Belgian Continental Shelf: a new voxel modelling approach

2019 ◽  
Vol 98 ◽  
Author(s):  
Vasileios Hademenos ◽  
Jan Stafleu ◽  
Tine Missiaen ◽  
Lars Kint ◽  
Vera R.M. Van Lancker
Keyword(s):  
Continental Shelf ◽  
Three Dimensional ◽  
Stochastic Modelling ◽  
3D Modelling ◽  
Probabilistic Methods ◽  
Resource Exploitation ◽  
Borehole Data ◽  
Modelling Techniques ◽  
Belgian Continental Shelf ◽  
Voxel Modelling

AbstractModelling of surface and shallow subsurface data is getting more and more advanced and is demonstrated mostly for onshore (hydro)geological applications. Three-dimensional (3D) modelling techniques are used increasingly, and now include voxel modelling that often employs stochastic or probabilistic methods to assess model uncertainty. This paper presents an adapted methodological workflow for the 3D modelling of offshore sand deposits and aims at demonstrating the improvement of the estimations of lithological properties after incorporation of more geological layers in the modelling process. Importantly, this process is driven by new geological insight from the combined interpretation of seismic and borehole data. Applying 3D modelling techniques is challenging given that offshore environments may be heavily reworked through time, often leading to thin and discontinuous deposits. Since voxel and stochastic modelling allow in-depth analyses of a multitude of properties (and their associated uncertainties) that define a lithological layer, they are ideal for use in an aggregate resource exploitation context. The voxel model is now the backbone of a decision support system for long-term sand extraction on the Belgian Continental Shelf.

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