User talk:Tamekue

Diploma Thesis - Tasks

1. Task

• Find out how to use .UI files in Python (Slicer4). DONE
• Result: Shown at http://www.slicer.org/slicerWiki/index.php/Slicer4:Developers:Projects:QtSlicer/Tutorials/PythonAndUIFile

2. Task (until 03/04/11)

• Write expose for diploma thesis, find enough references. Write it first in Microsoft Word, later we have to write the text in LaTeX. OPEN
• Result: ?

3. Task (until 02/24/11)

• Implement a simple program in Python to run through an array (x,y,z,radius), find the points where the radius is < THRESHOLD and save the detected segments in an array. Select a reasonable threshold. This will later help to detect stenosis.
• Result: Loop through array realized. Points with low radius are found but when the radius gets bigger again, the code still thinks the radius is low. DONE

4. Task (until 02/21/11)

• Look at Slicer4/QTScriptedModules/Scripts/Editor.py and Slicer4/QTScriptedModules/EditorLib to figure out how to split Python module to different files in Slicer4. DONE
• Result: The module itself is a .py file in QTScriptedModules/Scripts. It is possible to include a directory with other Python Scripts in QTScriptedModules/XXX where XXX is a custom name. Then, in the .py File in Scripts, an import XXX has to be placed. This will call the XXX/__init__.py file and can include other files.

5. Task (until 03/04/11)

• Modify VMTKCenterlines in Slicer3 to include a button to perform the code of Task 3 on a vtkPolyData object. The centerlines are polyData. Add your new method to the logic class of VMTKCenterlines. This will later be the algorithm to detect stenosis. OPEN
• The following code snippet should help:

for i in range(polyData.GetNumberOfPoints()):

	point = polyData.GetPoint(polyData.GetNumberOfPoints() - i - 1)

	# aktueller punkt ist x: point[0] y: point[1] z: point[2]

	array = polyData.GetPointData().GetArray("MaximumInscribedSphereRadius")
	
        # hier der radius
	diameter = array[0]

        #benutze self._parentClass.GetHelper().debug("x") zur ausgabe

6. Task (until 03/04/11)

• A pixel in 2D has always 8 neighbors. Write code in Python to do the following: Create a 2D array (maybe a 16x16 matrix?). Take a random element in the middle of the array and loop in the directions of all 8 neighbors (top, bottom, left, right, diagonal left to top, diagonal left to bottom, diagonal right to top, diagonal right to bottom) until you reach the end of the matrix. If this is finished we can modify it to detect the maximal diameter of a vessel through one click. We will extend it then to 3D. If you want, skip 2D and start directly with 3D (16x16x16 matrix). OPEN
• Result: ?