Peter TODO items

This is the SliceTracker wiki.

Remaining TODOS

After functional:

• ENH: cross plattform check
• ENH: additional "cancel" button for QuickMode
• ADD: write self-test function

Currently working on

• use guidelines http://wiki.slicer.org/slicerWiki/index.php/Documentation/Nightly/Developers/Style_Guide
• ADD: Log-Feature
• use standard logging feature to save with timestamps, measure processing time as post-processing step of log analysis

Done

• ADD: Visualization modes in evaluation section √
• ENH: Set icon paths relative √
• ENH: Add Icons to cmake file √
• ENH: Automatic check, if VolumeClipExtension is installed, and warn user if not √
• initialize module.dependencies
• -> user is not warned, module is simply not appearing
• use module.path √
• test data in a pre-defined location; include README with basic instructions for someone to test the module
• ADD: Label Segmentation Mode √
• ADD: show PREOP + INTRAOP slice annotations √
• ADD: Label Segmentation Mode √
• ADD: Measure-Needle-Tip Function 2D & 3D √
• ADD: deal with more than one patient in intraop folder
• look only for the data that matches the patient selected in the 1st step, if mismatch with the incoming data - warn the user √
• make sure the module can handle existing data in the intraop folder (in case software started after data is received, or restarted after crash) √
• ENH: Separate logic from GUI √
• ENH: show preop Targets in Red SliceView during evaluation √
• Must have: consider showing preop and intraop before registration at the position of the target √
• Nice to have: add event handler to the slider position to update intraop/preop when another one position is changed
• ADD: Re-Registration functionality

Problems

• ENH: Set Proper Color Table
• use this color table: https://github.com/fedorov/PCampReview/tree/master/Resources/Colors
• code to initialize https://github.com/fedorov/PCampReview/blob/master/PCampReview.py#L544-L560
• discovered a strange problem: when labelValue is set to 1 (and only if ==1), every voxel in the volume is segmented params = {'sampleDistance': 0.1, 'labelValue': 5, 'InputVolume' : inputVolume.GetID(), 'surface' : clippingModel.GetID(), 'OutputVolume' : outputLabelMap.GetID()}