2009 Summer Project Week Slicer3 XNAT usecases

Use Case 1: Image Guided Therapy Planning and in OR

Workflow

Step1. Subject is scanned and data is pushed to a networked disk (and referenced by a PACS system) automatically.

Step2. Researcher1 uses an XND client (on a laptop or a desktop system) to

• apply metadata (DICOM rule sufficient?)
• upload data to XNAT repository

Step3. Researcher2 opens slicer and querieswebservices for a list of subjects.

• Query for all subjects on system
• Choose a subject, query for available data...
• Browse results
• download data of interest

Step4. Completed neurosurgical planning analysis

• apply metadata (need custom metadata) --must be quick/easy to do
• and upload results -- must be quick/easy to do (drag/drop, with confirmation0).

Step5. In IGT, search for and download scene for patient (subject)

Clinician cuts network link to remote repository (all files are locally cached so OR system is self sufficient).

Use Case 2: Radiation Treatment Planning

Workflow

Step1. Patient is scanned and data is pushed to XNAT (and referenced by a PACS system) automatically.

• possibly DICOM DCMRT metadata automatically applied
• other assessors may be collected and described manually, uploaded to XNAT using client GUI.

Step2. Scientist/Clinician queries for patient data & browses results using GUI, downloads to RT planning software

Step3. Scientist/Clinician uploads plan in progress (drag & drop?). DICOM DCMRT metadata automatically applied at upload.

Step4. Researcher queries for case data & browses results using GUI, downloads to local disk for study.

Specific Interface Requirements

• Interface to commercial systems?
• Appropriateness of XND for tagging & upload of non-imaging assessors?
• Specific user requirements for metadata authoring and upload client software?

Specific Metadata Requirements or Data Model modifications

• DCMRT supported by DICOM rule?

Use Case 3: Quality Control Processing of Large Studies

Workflow

Step 1. Multiple study sites acquire imaging data and other assessors

Step 2. Combination of automatic (DICOM) and manual (custom?) markup of data and upload to central repository

Step 3. QC batch client 1 automatically queries for (site/subject/scanID), retrieves, processes data, generates report and notifies any site of errors in (or missing) datasets. Additional processing may be performed (de-identification of data)...

Step4. Additional metadata may be automatically applied (provenance?) and data is uploaded.

Step5. QC batch client 2 (automatically?) queries for (site/subject/scanID), retrieves, allows visual inspection of data and report generation.

Step6. Report is automatically uploaded and associated with image data.

Use Case 4: Longitudinal Studies

Use Case 5: Population Studies