ITK SNAP TUTORIAL PDF

This short minute course was held at RSNA in Chicago on Nov 28 and Dec 1, The course offered a brief introduction to main. Segmentation steps using ITK SNAP semi-automatic segmentation based on Intensity Regions. From left to right, top: Definition of the region of interest.

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The output of SNAP is a volumetric image of labels. These velocities are displayed using a fixed feature image, and not the feature image that you are working with.

Automatic Segmentation using Region Competition Snakes This section gives step by step instructions on segmenting an image using the region competition snake in last section’s terminology, snake evolution that uses the region feature image. It is up to the user to come up with the list of labels to use in a particular segmentation task. This tutorial will refer to these panels as slice panels and the 3D panel. SNAP does not require a deep understanding of the underlying mathematics and computer science to use.

This is additional, often mathematical information for advanced users. The former is used to reset the region of interest to the entire image. The window displays dimensions of the image, voxel size, current cursor location and other useful information. Click below to jump to a specific tip:. Press the Stop button when the caudates have been filled up Press the Rewind button if you want to restart. However, you can use subsampling to get a ‘quick and dirty’ segmentation and then use that segmentation as an initialization to another segmentation, this time without resampling.

The gains in speed come, of course, at the price of accuracy. In this tutorial, we will use the term grey image to refer to the three-dimensional input image, e. See the Tip on Advanced Parameter Settings for details. Make sure that “All Labels” is selected in the Draw over drop-down box. We recommend to leave the noise reduction setting at zero. Make sure that the slice is fully visible in each the slice windows by pressing the Reset View buttons underneath the slice windows.

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The size of the box will be adjusted as you move the mouse. The Mathematical Mode tab of the Snake Parameters Window shows mathematical expression for the partial differential equation that drives the snake evolution, and allows you to set the parameters directly as constants in this equation.

The automatic segmentation will be performed on the resampled image, snapp the results will be resampled back to the resolution of the original, tktorial image. In this tutorial, some sections are written for the expert users, and are optional. Step through the rest of the wizard, as descibed in Section 2. This button is used to construct the feature image. Move the crosshairs such that the crosshairs position is inside of the right caudate nucleus in all three slice windows.

What Additional Documentation is Available? The picture below shows the SNAP user interface in manual segmentation mode. The 3D scalpel tool works by partitioning the space into two regions separated by a plane. For very large speedups, it may reduce the error accumulation. Left-click once in one of the four windows showing the curve and yellow ‘control points’ will appear.

This tab also allows you to override the default time step used in snake propagation. Press the Accept button to relabel the pixels corresponding to these bubbles with the active drawing label, or press the Reset View to discard the spray painted bubbles.

Tutorial: Getting Started with ITK-SnAP

Since SNAP can only assign a single label to each pixel in ttorial grey image, it can not be used for segmentation with sub-voxel accuracy. Nearest neighbor interpolation is fast but results in greatest distortion.

The directions on obtaining and installing SNAP are available at http: Our tutoeial in setting the parameters is to make sure that the voxels inside of fthe caudate nuclei are assigned positive values in the feature image, and that the voxels outside of it are assigned negative values. Most of the SNAP window is occupied by four panels, three of which show orthogonal slices through an image, and the fourth, located at bottom left, jtk the three-dimensional view of the segmentation.

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SNAP includes an image information window that can be brought up at any time.

SNAP Tutorial and User’s Manual

We recommend overriding the optimal step when doing rough segmentations on large regions of interest. When performing manual segmentation, it may be useful to dedicate a larger area of the screen to a single slice of the 3D image.

As you select the snake tool, a pink-colored dashed selection box will appear at the border of the each slice in the slice windows, as shown below:. Use the 3D Trackball tool to rotate it 3D view in such a way that the caudates can be separated by an imaginary line, as shown below.

ITK-SNAP 3.6 tutorial available online

Now, let us examine the different tools available in the 3D Toolboxwhich is shown below. Selecting Update Continuously will degrade segmentation performace significantly, possibly by orders of magnitude! ktk

If you uncheck the Preview result checkbox, the slice windows will only reflect the values of the parameters when you press the Apply button.

Hold down the left mouse button and drag the mouse towards the center of the image. Place one more bubble inside the right caudate and place two bubbles inside the left caudate. If you are not satisfied with the ‘cut’, press the Reset View button and try again. Now, we will use the 3D scalpel tool to actually draw a line in place of the imaginary line.

Press the button labeled Preprocess Image The Narrow Band algorithm is more robust with respect to increasing the segmentation time step see next paragraph. Now that we’ve set the snake parameters, we are ready to run the snake evolution.

Use the History button to select the image loaded most recently. The first way is to take advantage of the option to resample the region of interest when entering the automatic segmentation mode.