Difference between revisions of "2016 Winter Project Week/Projects/SlicerEnhancedMR"

Latest revision as of 15:07, 8 January 2016

Objective	Approach and Plan	Progress and Next Steps
Support Enhanced MR in DCMTK and in Slicer As a first goal, support of converting old MRs into the "Legacy Enhanced MR" objects	Review and refine required data structures Working Document on github Identify the data sources to be supported in order to fill in data structures Find out what is missing in DCMTK Start coding :) Identify next steps and schedule for completing the feature Use the QIICR BWH QIN dataset as demo data http://slicer.kitware.com/midas3/item/126192 Start with a use case writing an example with some dummy API, then work on iterating over the implementation of this API	Implemented 3 new DICOM modules in DCMTK: Contrast/Bolus, Device and Cardiac Synchronization Started to write converter (python) to create simple DICOM module APIs (C++) in DCMTK from DICOM standard (docbook format) directly Started adapting DCMTK's functional group infrastructure for missing functional groups

@@ Line 24: / Line 24: @@
 *Start coding :)
 *Identify next steps and schedule for completing the feature
-*Use the QIICR BWH QIN dataset as demo data
+*Use the QIICR BWH QIN dataset as demo data http://slicer.kitware.com/midas3/item/126192
 *Start with a use case writing an example with some dummy API, then work on iterating over the implementation of this API
 |
-* TBD
+*Implemented 3 new DICOM modules in DCMTK: Contrast/Bolus, Device and Cardiac Synchronization
+*Started to write converter (python) to create simple DICOM module APIs (C++) in DCMTK from DICOM standard (docbook format) directly
+*Started adapting DCMTK's functional group infrastructure for missing functional groups
 |}