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: Initial Label Image: The output of the Bubble Maker module. Feature Image: The output of the Target Preprocessing module. Propagation Weight: Relates to the amount of inflating force applied inside the surface (can be negative). Curvature Weight: Influences roundness of the resulting interface. Greater weight, greater roundness. Prevents leaking through narrow openings. Advection Weight: It weights the influence of the advection term, which behaves like a magnet attracting the interface towards edges. Number of Iterations: Indicates duration of the evolution. Output Label Image: Resulting segmentation.

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.