2013 Summer Project Week:Dynamically Configurable Quality Assurance Module for Large Huntington's Disease Database Frontend

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  Projects List

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  QA Evaluation UI

Key Investigators

• UIowa: Dave Welch, Hans Johnson
• UNC: JC Fillion-Robin
• Isometrics: Steve Pieper

Objective

QA evaluation of derived images for large population studies is vital to ensure study results are accurate and relevant. We will create a Slicer module capable of querying a database of associated derived volumes and label maps from our AutoWorkup pipeline for interactive QA evaluation.

We will also minimize duplication of QA efforts through database management within the module, allowing multiple Slicer instances on a network to evaluate our results by subject without repetition or conflict. In addition, we will optimize the evaluator's time through process schemes like pre-loading of batched data.

Approach, Plan

We will use the Python scripting capabilities to create a loadable module for Slicer that is able to query a database. We will take advantage of QT Designer to streamline our UI development and test on a copied version of our network hierarchy. In order to normalize our QA across evaluators, we will control the slice views from the module and expose only the necessary volumes and label nodes to the users.

Progress

The UI for our module is (mostly) complete and functioning, with our composite view templated and working correctly. The module's logic and interaction with the database is near completion. We will be continuing development of this module and we hope to present a tutorial at the Winter Project Week.

Delivery Mechanism

This work will be delivered to the NA-MIC Kit as a (please select the appropriate options by noting YES against them below)

1. ITK Module
2. Slicer Module (Yes)
   1. Built-in
   2. Extension -- commandline
   3. Extension -- loadable
3. Other (Please specify)

References

1. TODO