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.

Author: Tugore Vunris
Country: Kenya
Language: English (Spanish)
Genre: Medical
Published (Last): 6 March 2010
Pages: 100
PDF File Size: 8.64 Mb
ePub File Size: 1.64 Mb
ISBN: 871-5-73146-886-7
Downloads: 47162
Price: Free* [*Free Regsitration Required]
Uploader: Vudolmaran

The greylevel image is shown again, but the pixels where the feature image is positive are painted over with the color of the current segmentation label, as shown below. However, you can use subsampling to get a ‘quick and dirty’ segmentation and then use that segmentation as an initialization tik another segmentation, this time without resampling.

This is extra information that can increase your productivity when using the tool but is not essential. In the semi-automatic mode, a powerful level set segmentation algorithm is used to segment anatomical structures in three dimensions. You will need to use the Above threshold direction setting smap creating the feature image.

If you are not satisfied with the ‘cut’, press the Reset View button and try again. To see the segmentation result in 3D, you can press the Update Mesh button underneath the 3D window, or you can select the Update Continuously checkbox.

Hold down the left mouse button and drag the mouse towards the center of the image. When you are satisfied with the feature image, press Okay to compute the feature image at all voxels and close the intensity region filter window. For example, if the original image has 1mm cube pixels and you resample it to 2x2x2 resolution, you will reduce the amount of memory needed for segmentation by eightfold and will speedup the segmentation by an eightfold as well.

A more conservative option is to resample 1x1x5 pixels to 2x2x2 pixels. Selecting Update Continuously will degrade segmentation performace significantly, possibly by orders of magnitude! You can move the mouse while pressing the left mouse button.


To remove a bubble, select it in the list of bubbles underneath the Radius slider and press the Remove bubble button.

In order to perform the segmentation automatically, we will discard the manual segmetnation. This wizard page allows you to set the parameters for snake evolution, and it allows you to control the snake using VCR-style controls. Set the lower threshold to Press and hold the right mouse button and move the mouse up or down to zoom in and out in the 3D view. The 3D scalpel is a very powerful tool for editing segmentation results. Use the History button to select the image loaded most recently.

Now, we will use the 3D scalpel tool to actually draw a line in place of the imaginary line. Change the curvature velocity weight to from 0.

SNAP Tutorial and User’s Manual

If you uncheck the Preview result checkbox, the slice windows will only reflect the values of the parameters when you press the Apply button. Press the Sanp button in the Segmentation Pipeline Wizard to proceed to the next step.

See the Tip on Advanced Parameter Settings for details. These velocities are displayed using a fixed feature image, and not the feature image that you are working with.

ITK-SNAP Tutorial

This step of the wizard is used to position spherical bubbles to that initialize the snake, as described in the previous section. Action items denoted by icon.

It is orders of maginitude slower that the other two options. The ttutorial noise reduction option can be used in conjunction with overriding the optimal time step. Move the crosshairs around in the slice windows the intensity region filter window will remain on top.

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:. This gives you a lot of creative control when segmenting multiple structures.

ITK-SNAP 3.6 tutorial available online

Tips and tricks denoted by icon. Move the control points by dragging using with the left mouse button. This algorithm requires some guidance from the user, and SNAP provides an easy interface to provide such guidance. The 3D scalpel tool works by partitioning the space into snwp regions separated by a plane. Press the button labeled Preprocess Image You will see a white line indicating where the ‘cut’ will be made, and an arrow indicating which half of the space will be relabeled.


Select ‘right caudate’ as the current drawing label, and select ‘caudates’ the label used for automatic segmentation as the label to draw over, as shown below.

There are two ways itkk check that this happens:.

See the Tip on Another Way to Initialize Segmentations for more details on using segmentation results for initialization of subsequent segmentations. Select the 3D Scalpel Tool Click the left mouse button at one end of the imaginary line separating the caudates Move the mouse around the 3D window. We recommend overriding the optimal step when doing rough segmentations on large regions of interest.

The manual segmentation will be used as the snake initialization, and you would not have to add any bubbles. As soon as you change some of the parameters, the SnAP slice windows will display the feature image instead of the grey image. For instance, when segmenting a brain MRI, some of the pixels in the image may be assigned the label ‘grey matter’, others will be assigned the label ‘lateral vetricle’, etc.

The region of interest is a rectalinear box, while the regions in region competition are of arbitrary shape and are defined by tutoriql intensity. Press the Hutorial Bubble button to place a bubble at the crosshairs position. It tktorial you apply the results of automatic segmentation to all labels, to all visible labels, to tutorila clear label, or to a particular label.