Difference between revisions of "Whole-Brain-Tractography-Wizard"
Line 36: | Line 36: | ||
This class: | This class: | ||
* Takes the widget for each step from a UI file generated by the designer | * Takes the widget for each step from a UI file generated by the designer | ||
+ | * Setups the widgets into a sequential workflow | ||
+ | * Obtain the data from the fields on the Qt window and put it into a python dictionary and passes it to the appropriate validation step | ||
And requires | And requires | ||
* Each step to be declared as the name of such file | * Each step to be declared as the name of such file |
Revision as of 16:06, 10 January 2012
Home < Whole-Brain-Tractography-WizardThe Idea of a Wizard
Make a simple set of steps that will guide the user through a complex process. An example of this is the simple wizard that takes the user from a DICOM or NRRD Diffusion Weighted Image to a Full brain tractography. There are 4 steps to this process:
In order to generate this wizard, we will use the For each step, we must:
- Obtain the input from the interface
- Validate the input
- Set up the parameters for the next step
API support for workflows
In order to do this, we use CTK's support for workflows:
- ctkWorkflowStackedWidget
- ctkWorkflowWidgetStep
In which the idea is to derive a new class from ctkWorkflowWidgetStep for each step and then add them all to the workflow widget ctkWorkflowStackedWidget making the transition explicit
Events of each workflow widget step (ctkWorkflowWidgetStep)
- createUserInterface
- onEntry(comingFrom, transitionType)
- onExit(goingTo, transitionType)
- validate(validationSucceded, desiredBranchId)
Obtaining the input from the Interface
You can find the example at
Modules/Scripted/Scripts/DICOM2FullBrainTractography/DICOM2FullBrainTractographyLib/full_tractography_workflow.py
In this example there is a helper class that makes things easy for linear workflows:
WorkflowConfiguration
This class:
- Takes the widget for each step from a UI file generated by the designer
- Setups the widgets into a sequential workflow
- Obtain the data from the fields on the Qt window and put it into a python dictionary and passes it to the appropriate validation step
And requires
- Each step to be declared as the name of such file
- The fields from each step to be declared
- The validation for each step to be implemented
Declaring the Modules
step_widget_files = [ 'dicom2nrrd', 'dwi2dti', 'dti2fibers', 'done', ]
Declaring Each Module's Fields
step_widget_fields = { 'dicom2nrrd':[ ('DICOMRadioButton', 'checked'), ('NRRDDWIRadioButton', 'checked'), ('inputDicomDirectory', 'directory'), ('outputVolume', 'currentPath'), ('useBMatrixGradientDirections','checked'), ('inputNRRDVolume','currentPath'), ], 'dwi2dti':[ ('leastSquaresEstimation', 'checked'), ('weightedLeastSquaresEstimation', 'checked'), ('thresholdParameter', 'value'), ('removeIslands', 'checked'), ('applyMask', 'checked'), ], 'dti2fibers':[ ('seedSpacing','value'), ('stoppingFAValue','value'), ('minimumFAValueSeed','value'), ('stoppingTrackCurvature','value'), ], 'done':[], }
Validating Data for a Field
def validate_dicom2nrrd(self, step_object, data): if data[step_object.id()]['DICOMRadioButton']:
Running a CLI module from a python script
self.dicomtonrrdconverter_parameter_node = slicer.cli.run( slicer.modules.dicomtonrrdconverter, self.dicomtonrrdconverter_parameter_node, data[step_object.id()], wait_for_completion = True)
Validating the result of a CLI module
if self.dicomtonrrdconverter_parameter_node.GetStatusString() == 'Completed': file_path = data[step_object.id()]['outputVolume'] result_status, node = slicer.util.loadVolume( file_path, True ) else: result_status = False
Setting data for the next module
if result_status: self.dwi_node = node self.dwi_node_name = node.GetID()
Output errors if needed
if not result_status: display_error("Error in DICOM to NRRD conversion, please see log") return result_status
Details on Each Step's CallBack Implementation
Entry Callback
def onEntry(self, comingFrom, transitionType): comingFromId = "None" if comingFrom: comingFromId = comingFrom.id() super(GeneralizedStep, self).onEntry(comingFrom, transitionType) if hasattr(self, 'onEntryCallback'): self.onEntryCallback(self, comingFrom, transitionType)
Exit Callback
def onExit(self, goingTo, transitionType): goingToId = "None" if goingTo: goingToId = goingTo.id() super(GeneralizedStep, self).onExit(goingTo, transitionType) if hasattr(self, 'onExitCallback'): self.onExitCallback(self, goingTo, transitionType)
Validation Callabck
def validate(self, desiredBranchId): validationSuceeded = True if hasattr(self, 'validateCallback'): validationSuceeded = self.validateCallback(self, desiredBranchId) super(GeneralizedStep, self).validate(validationSuceeded, desiredBranchId)