Marching cubes: A high resolution 3D surface construction algorithm
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Automatic thresholding of gray-level pictures using two-dimensional entropy
Computer Vision, Graphics, and Image Processing
Performance study of several global thresholding techniques for segmentation
Computer Vision, Graphics, and Image Processing
A triangulation algorithm from arbitrary shaped multiple planar contours
ACM Transactions on Graphics (TOG)
ACM Transactions on Graphics (TOG)
Medical Image Analysis: Progress over Two Decades and the Challenges Ahead
IEEE Transactions on Pattern Analysis and Machine Intelligence
Optimal surface reconstruction from planar contours
Communications of the ACM
Reconstruction and simplification of surfaces from contours
Graphical Models - Pacific Graphics '99 in Graphical Models
Re: additional reference to "marching cubes"
ACM SIGGRAPH Computer Graphics
A new general triangulation method for planar contours
SIGGRAPH '82 Proceedings of the 9th annual conference on Computer graphics and interactive techniques
Conversion of complex contour line definitions into polygonal element mosaics
SIGGRAPH '78 Proceedings of the 5th annual conference on Computer graphics and interactive techniques
The asymptotic decider: resolving the ambiguity in marching cubes
VIS '91 Proceedings of the 2nd conference on Visualization '91
Rotating projection algorithm for computer tomography of discrete structures
WSEAS Transactions on Signal Processing
WSEAS Transactions on Signal Processing
Testing of image segmentation methods
WSEAS Transactions on Signal Processing
A locally tuned nonlinear technique for color image enhancement
WSEAS Transactions on Signal Processing
Approximating complex surfaces by triangulation of contour lines
IBM Journal of Research and Development
ACMOS'10 Proceedings of the 12th WSEAS international conference on Automatic control, modelling & simulation
Automatic detection of fetal nasal bone in 2 dimensional ultrasound image using map matching
ACMOS'10 Proceedings of the 12th WSEAS international conference on Automatic control, modelling & simulation
ACMOS'10 Proceedings of the 12th WSEAS international conference on Automatic control, modelling & simulation
3D ultrasound image reconstruction based on VTK
SIP'10 Proceedings of the 9th WSEAS international conference on Signal processing
WSEAS Transactions on Computers
IEEE Transactions on Image Processing
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Three dimensional (3D) ultrasound image reconstruction based on two dimensional (2D) images has become a famous method for analyzing some anatomy related to abnormalities. 3D ultrasound image reconstruction system is required in order to view the specific part of the object and so that it can be used for analysis purpose. In this paper, 2D images of fetal phantom were taken by using untracked free-hand ultrasound system. Few sets of 2D images were taken with different number of slices and after some basic 2D image processing, 3D reconstruction is done by using surface rendering techniques by implementing contour filtering and marching cubes algorithm in Visual C++ 6.0 with Visualization Toolkit (VTK) toolbox. From the experiment, we can conclude that in order to reconstruct a better 3D image, the aid of tracking sensor is important. Besides, image processing need to be performed thoroughly by adding other detailed processing techniques so that noises can be fully removed. From the result also, it can be concluded that the marching cube algorithm can give a better result compare to contour filtering where marching cubes algorithm can generate higher intensity 3D image which can make user easy to detect inner part and edges of 3D images. The number of slices should also be increased to improve the accuracy of the 3D image constructed.