Posted On
Posted By admin

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: Shakacage Doshicage
Country: Montserrat
Language: English (Spanish)
Genre: Art
Published (Last): 20 September 2013
Pages: 435
PDF File Size: 15.63 Mb
ePub File Size: 6.1 Mb
ISBN: 721-9-73771-914-5
Downloads: 97741
Price: Free* [*Free Regsitration Required]
Uploader: JoJoshakar

A user who already uses a computer for image segmentation, and thus understands the fundamentals of three-dimensional medical imaging will be able to use SNAP after completing this tutorial. Select the 3D Crosshair Tool Position the mouse over any point on the caudates and click the left mouse button.

This is information about SNAP that is necessary in order to use the tool. In this tutorial, automatic segmentations were initialized using ‘bubbles’. The experimental noise reduction option can be used in conjunction with overriding the optimal time step.

Move the snao points by dragging using with the left mouse button. Therefore, you can use the results of one segmentation attempt to initialize another. Before starting automatic segmentation, create a manual segmentation as described in Section 4 using the same label that you wish to use for snake segmentation.

We have to make sure that the appropriate combination of the current drawing label and background draw over label is selected. The Meta format is recommended. You will need to use the Above threshold direction setting when creating the feature image.

Press the Stop button when the caudates have been filled up Press the Rewind button if you want to restart. It can be used to speed up large segmentations. See the list of publications at http: It is up to the user to come up with the list of labels to use in a particular segmentation task. We will use the term label image to refer to the corresponding three-dimensional volume of labels.


ITK-SNAP tutorial available online | PICSL

It is tuhorial of maginitude slower that the other two options. Press the Update Mesh button below the 3D window to render the results. The gains in speed come, of course, at the price of accuracy. The output of SNAP is a volumetric image of labels. This tutorial is a walk-through of a SNAP segmentation session.

Check the Combined Display check box.

In practice, it is possible to use a larger time step value, resulting in proportionally tuyorial segmentations, but at a cost of sometimes unpredictable error. Before entering the automatic segmentation mode, you have an option to resample the region of interest passed on to automatic segmentation.

Tutorial: Getting Started with ITK-SnAP

Look at the values of the grey level intensity, which is reported in a box labeled “Grey” underneath the toolbar. 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. This window consists of two parts. 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.

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. This is additional, often mathematical information for advanced users. Position the mouse over any point on the caudates and click the left mouse button. You can move the mouse while pressing the left mouse button.

ITK-SNAP Tutorial

Try to simulate the selection box in the picture below. A three-button mouse with a scroll wheel is preferred, but is not necessary. For small segmentations, it is advisable to leave the step size at 1. We recommend to leave the noise reduction setting at zero. You can also choose to display the experimental equation tutoril, which contains more terms and gives you more control over snake evolution. You can also use manual segmentation tools to construct the snake initialization.


This is extra information that can increase your productivity when using tutoria tool but is not essential. Information for experts denoted by icon. Next to the step size dropbox is a display that shows the current iteration. The information presented in this tutorial falls into the following categories: The snake parameter window also lets you save snake evolution parameter settings to a file and to load them from a file.

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. Whenever you enter the automatic segmentation mode with some label X as the current drawing label, all the pixels already labelled X will be passed on to the automatic segmentation mode as initialization pixels.

If SNAP has been installed on your system, consult your system administrator for instructions on starting it.

ITK-SNAP 3.6 tutorial available online

Luckily, SNAP provides a couple of ways to speed up large segmentations. Each voxel in the input image can only be assigned a single label.

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, shows the three-dimensional view of snwp segmentation. You can adjust the crosshairs position in one of the adjacent slices.

Once you have adjusted the region of interest, press the Segment snapp button. At the time of this writing, the default Sparse Field Level Set Algorithm is the most efficient option.

In order to perform the segmentation automatically, we will discard the manual segmetnation. Selecting Update Continuously will degrade segmentation performace significantly, possibly by orders of magnitude!