Difference between revisions of "User talk:Tamekue"

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| style="background:#CEE3F6; color:black"| '''<font color=black>4</font>'''
 
| style="background:#CEE3F6; color:black"| '''<font color=black>4</font>'''
| style="background:#CEE3F6; color:black"; align="left"|Use the VMTK module avaible in Slicer 3 to extract and generate a sample of lumen line from a chosen dataset containing stenosis. <br>
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| style="background:#CEE3F6; color:black"; align="left"|Use the VMTK modules avaible in Slicer 3 to extract and generate a sample of lumen line from a chosen dataset containing stenosis. <br>
Create a temporary stenosis detector molude in Slicer 3.  <br>Import and customize the algorithm implemented at task 3, so that stenosis may be marked and vizualized in 3D view. Run and test the created module.
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Create a temporary stenosis detector molude in Slicer 3.  <br>Import and customize the algorithm implemented at task 3, so that stenosis may be marked and visualized in 3D view. Run and test the created module.
 
| style="background:#ffffff; color:black"|  '''<font color=black>02/20/11</font>'''
 
| style="background:#ffffff; color:black"|  '''<font color=black>02/20/11</font>'''
 
| style="background:#dbf3ff; color:black"| '''<font color=green>DONE</font>'''
 
| style="background:#dbf3ff; color:black"| '''<font color=green>DONE</font>'''
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| style="background:#CEE3F6; color:black"| '''<font color=black>6</font>'''
 
| style="background:#CEE3F6; color:black"| '''<font color=black>6</font>'''
| style="background:#CEE3F6; color:black"; align="left"|Extend the implementation of the module adding and customizing all different image processing steps (vessel enhancement, level-set segmentation, network extraction, centerline extraction and stenosis detection). <br> We will hereby be dealing with the automation of our tool, which affects user-friendliness by reducing the number of parameters required through the graphical user interface and with interactions between the different wizard steps.
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| style="background:#CEE3F6; color:black"; align="left"|Extend the implementation of the module adding and customizing all different image processing steps (vessel enhancement, level-set segmentation, network extraction, centerline extraction and stenosis detection). <br> We will hereby be dealing with the automation of our tool, which improves the user-friendliness by reducing the number of parameters usually required through the graphical user interface and with interactions between the different wizard steps.
 
| style="background:#ffffff; color:black"| '''<font color=black>05/15/11</font>'''
 
| style="background:#ffffff; color:black"| '''<font color=black>05/15/11</font>'''
 
| style="background:#dbf3ff; color:black"| '''<font color=red>OPEN</font>'''
 
| style="background:#dbf3ff; color:black"| '''<font color=red>OPEN</font>'''

Revision as of 13:58, 18 March 2011

Home < User talk:Tamekue

Diploma Thesis - Tasks

Time line table

Task number Tasks Deadlines Status Comments
1 Design a prototyp of a wizard based graphical user interface. 12/01/10 DONE
2 Implement the designed graphical user interface so that we can run it and navigate through the different wizard steps. 12/22/10 DONE
3 Implement a separate algorithm in python, which parse an array containing array elements representing centerline points with associated diameter.
Define a threshold value for diameters. The algorithm should detect all line segments, where associated diameters are less than the defined threshold value and save them in a container.
02/08/11 DONE
4 Use the VMTK modules avaible in Slicer 3 to extract and generate a sample of lumen line from a chosen dataset containing stenosis.

Create a temporary stenosis detector molude in Slicer 3.
Import and customize the algorithm implemented at task 3, so that stenosis may be marked and visualized in 3D view. Run and test the created module.

02/20/11 DONE
9 Write expose for diploma thesis, find enough references. 03/13/11 DONE
5 Transcribe the implemented graphical user interface with all wizard steps using python and import it into the module created above. 03/31/11 OPEN
6 Extend the implementation of the module adding and customizing all different image processing steps (vessel enhancement, level-set segmentation, network extraction, centerline extraction and stenosis detection).
We will hereby be dealing with the automation of our tool, which improves the user-friendliness by reducing the number of parameters usually required through the graphical user interface and with interactions between the different wizard steps.
05/15/11 OPEN
8 Design and implement and test a diagramm, which gives an estimation of the stenosis detection results with different stenosis stages.
This will be include into evaluation step (last wizard step) of our module.
06/20/11 OPEN
9 Evalutation of the tool on testing datasets 06/20/11 OPEN
10 Write and complete the thesis 07/15/11 OPEN