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: Nikogami Vudolkree
Country: Grenada
Language: English (Spanish)
Genre: Finance
Published (Last): 2 May 2018
Pages: 331
PDF File Size: 12.42 Mb
ePub File Size: 5.54 Mb
ISBN: 810-2-91621-277-1
Downloads: 90629
Price: Free* [*Free Regsitration Required]
Uploader: Zugrel

Nearest neighbor interpolation is fast but results in greatest distortion. Hold down the left mouse button and drag the mouse towards the center of the image. The use tutorual word region here should not be confused with region competition. The region of interest is a rectalinear box, while the regions in region competition are of arbitrary shape and are defined by uniform intensity.

This button is used to tuforial the feature image. The information presented in this tutorial falls into the following categories: This involves reloading the greyscale image.

SNAP Tutorial and User’s Manual

After you use the mouse to click on and move the knobs that are used to change the threshold and smoothness values, you can use the left and right arrow keys to move these knobs one value at a time. The Narrow Band Level Set Algorithm is a little slower and some small differences in the results of the two methods have been detected. Voxels in feature images are saved as floating point numbers, so some applications may turorial be able to load the saved images.

The images have to be homogeneous, i. As you change the parameters, the slice windows are updated immideately. The picture below shows the SNAP user interface in manual segmentation mode. These velocities are displayed using a fixed feature image, and not the feature image that you are working with.

Tutorial: Getting Started with ITK-SnAP

This tab also allows you to override the default time step used in snake propagation. This tutorial will refer to these panels as slice panels and the 3D panel.

This is extra information that can increase your productivity when using the tool but is not essential. We recommend overriding the optimal step when doing rough segmentations on large regions of interest. We will segment the caudate nucleus and the ventricles in this image. The size of the box will be adjusted as you move the mouse.

  2N7002 NL PDF

On the left is a control panel used to specify various parameters, mainly titorial weights of the propagation, curvature, and advection forces that were discussed in Section 5.

Information for experts denoted by icon. This tab allows you to change the algorithm used for snake propagation. You can also use manual segmentation tools to construct the snake initialization.

Therefore, you can use the results of one segmentation attempt to initialize another. This section is organized as a series of questions and answers about the general capabilities and structure of the SNAP tool. At the time of this writing, the default Sparse Field Level Set Algorithm is the most efficient option.

Move the control points by dragging using with the left mouse button. As you select the snake tool, a pink-colored dashed selection box will appear at the border of snzp each slice in the gutorial windows, as shown below:. Use the Edit Labels button to add two new labels called ‘left caudate’ and ‘right caudate’ with different colors for information on editing labels, see Section 3.

This section assumes that you are working with the image MRIcrop-orig. If your input device does not have a right or a middle mouse button, use the following combinations keyboard mouse combinations:.

Change the curvature velocity weight to from 0. The output of Ktk is a volumetric image of labels.

Tips and tricks denoted by icon. Simply select this tool, position the mouse over a rendered segmentation results e.

ITK-SNAP 3.6 tutorial available online

You can also load feature images by pressing the Load from File Try to simulate the selection box in the picture below. In practice, it is possible to use a larger time step value, resulting in proportionally faster segmentations, but at a cost of sometimes unpredictable error.

Move the crosshairs around the caudate nuclei. Select the 3D Trackball Tool Press and snnap the left mouse button and move the mouse to rotate the 3D view.


SNAP can be used in two different modes: This section gives step by step instructions on segmenting an image using the region competition titorial in last section’s terminology, snake evolution that uses the region feature image.

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. The selection box displays the region of interest that will be used tktorial automatic segmentation. You can move the mouse while pressing the left mouse button. At the top of the control panel is located a menu barwhich is used for saving and loading images, for setting options, and for accessing the help system.

Under each of these panels are located several blue buttons, which are used to interact with each panel individually. The crosshair position can be adjusted in this mode using the left mouse button as usual. SNAP represents segmentation by assigning labels to pixels voxels in the input image.

You can choose between cubic, linear, and nearest neighbor interpolation modes.

ITK-SNAP Tutorial

The Dense Level Set Algorithm is included purely for experimental purposes. Using all three slice windows, adjust the selection box to include the left and right caudate nuclei.

See the Tip on Another Way to Initialize Segmentations for more details on using segmentation results for initialization of subsequent segmentations.

As soon as you change some of the parameters, the SnAP slice windows will display the feature image instead of the grey image. The first way is to take advantage of the option to resample the thtorial of interest when entering the automatic segmentation mode. See the list of publications at http: