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Interactive Thickness Visualization of Articular Cartilage

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Venkateshwarlu Jangili

on 3 February 2014

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Transcript of Interactive Thickness Visualization of Articular Cartilage

Interactive Thickness Visualization of Articular Cartilage

Interactive Thickness Visualization of Articular Cartilage
Authors: Matej Mlejnek, Anna Vilanova, Meister Eduard Groller
Problem and the Solution
Pipeline for thickness Visualization
Operations on the Height Field
Pipeline for Thickness Visualization
Operations on the Height Field:
Uniform scaling doesn't bring any improvement
Non-Uniform scaling is used - Height Field
Similar to Earth Visualization
This is a structure where the detection of slight thickness changes is vital for diagnosis. It has been shown that unfolding of anatomic organs is promising since it enables the application of 2D visualization methods.
The above work has been implemented as a part of a framework for cartilage visualization.
The future work on articular cartilage visualization will continue with a broader clinical study on a variety of datasets.
presented by: Harsha Gaddam
Presented by:
Harsha Gaddam
Kent State University
Articular Cartilage?
It distributes weight and frictionless motion and shock absorption.
Thickness of the cartilage is few millimeters, differs from person to person.
Symptoms are swelling in the joints.
The present problem with this is usage of MRI scanners and pulse sequences
Reading of the thickness changes from a direct volume rendered or a reconstructed surface model is quite difficult
Technique used with in them is the color mapping
Our approach to cartilage visualization deals with unfolding of the cartilage and depicting it as a height field.
In comparison to direct volume rendering or surface reconstruction methods, the height field representation of the cartilage eliminates the complexity of the 3D shape of the cartilage
Cartilage Segmentation:
Main classes in Segmentation:
Manual Segmentation.
Semi-Automatic Segmentation.
Thickness Measurement:
Thickness normally measured in:
Vertical Distance.
Proximity Method.
Normal Method.
Proximity is used in the current technique.
p is point on outer boundary and r is of the inner boundary
Flattening of Cartilage:
Parametrization: Unfolding the Cartilage
Threshold Non-Linear Scaling:
Non-uniform scaling hide the parts of the height field where the thickness is rather low.
This will flatten the values that are above the threshold values shown in the figure.
This method performs custom scaling for the threshold values.
Non-linear Scaling on Interval:
Scale Transfer Function:
Thickness changes on each range of the thickness values
The scaling is performed on interval 2, while the values within the intervals 1 and 4 preserve the original value. The mapping of the values belonging to interval 3 flattens the surface in this area.
Thank You!!
Ch. Bennis, J.-M. Vezien, and G. Iglesias. Piecewise surface flattening for non-distorted texture mapping. In SIGGRAPH 1991, pages 237–246, 1991.
S. Angenent, S. Haker, A. Tannenbaum, and R. Kikinis. On the Laplace-Beltrami operator and brain surface flattening. IEEE Transactionson Medical Imaging, 18:700–711, 1999.
A. Vilanova Bartrol´ı, R.Wegenkittl, A. K¨onig, and E. Gr¨oller. Nonlinear virtual colon unfolding. In IEEE Visualization 2001, pages 411–418, 2002.
P. V. Sander, J. Snyder, S. Gortler, and H. Hoppe. Texture mapping progressive meshes. In SIGGRAPH 2001, pages 409–416, 2001.
Example of Focal Regions
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