Slicer3:Module:Target Preprocessing-Documentation

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Module Name

Target Preprocessing

General Information

The purpose of this filter is to create a feature image that is suitable for a level-set algorithm, from an intensity image.

It takes the original image and performs anisotropic gaussian diffusion on it, reducing the noise while preserving the edges.

Then the magnitude of the gradient is computed. This magnitude is then non-linearly remapped so as to get very small values in the image edges and very big values in homogeneous areas.

Module Type & Category

Type: CLI Category: Level-Set Segmentation

Authors, Collaborators & Contact

• Author: Carlos S. Mendoza, Universidad de Sevilla
• Contact: carlos.sanchez.mendoza@gmail.com

Quick Tour of Features and Use

There is only one panel available in this module:

Panel

The parameters have the following meaning: Input Volume: The output of the Region Selector module. Output Volume: Resulting preprocessed image. Degree of Blurring: Number of iterations for Gradient Anisotropic Diffusion filter. Greater smoothing produces more homogeneity in low gradient areas. Significant edges are protected. Degree of Edge Loss: Controls the conductance term of the GAD filter. Greater conductance reduces the edge preserving property of the GAD filter. Smoothness of the mapping slope: After the GAD is applied the gradient magnitude is taken. Then a non linear sigmoid function mapping is performed so that values end up being close to 1 for edges and close to 0 for homogeneous areas. The sigmoid will be centered on the mean value of the gradient magnitude. This parameter controls the steepness of the sigmoid. A bigger value in this parameter means that the the sigmoid will increase more smoothly and more different values of the gradient will be distinguishable in the resulting feature image.

Known bugs

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Usability issues

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Source code & documentation

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Links to documentation generated by doxygen.

Acknowledgment

This work was developed on financial support from the University of Sevilla, Spain. Most of the development took place in the Surgical Planning Laboratory, Harvard Medical School and Brigham and Women's Hospital, under the supervision of Mr. Steve Pieper Ph.D.