2009 Summer Project Week Slicer3 XNAT usecases - Revision history

Wjp: /* Workflow */

2009-06-29T19:58:56Z

Workflow

Wjp: /* Workflow */

2009-06-29T16:54:43Z

Workflow

Wjp: /* Workflow */

2009-06-29T16:49:58Z

Workflow

Wjp: /* XNAT interface Worksheet */

2009-06-29T16:30:49Z

XNAT interface Worksheet

Wjp: /* XNAT interface Worksheet */

2009-06-29T16:30:18Z

XNAT interface Worksheet

Wjp: /* Use Case 4: Longitudinal Studies */

2009-06-29T16:25:45Z

Use Case 4: Longitudinal Studies

Wjp: /* Use Case 2: Radiation Treatment Planning */

2009-06-29T16:08:17Z

Use Case 2: Radiation Treatment Planning

Wjp: /* Use Case 3: Quality Control Processing of Large Studies */

2009-06-29T16:07:49Z

Use Case 3: Quality Control Processing of Large Studies

Wjp: /* Use Case 2: Radiation Treatment Planning */

2009-06-26T16:02:02Z

Use Case 2: Radiation Treatment Planning

Wjp: /* Use Case 4: Longitudinal Studies */

2009-06-26T11:16:34Z

Use Case 4: Longitudinal Studies

@@ Line 165: / Line 165: @@
 '''Step 1.''' Multiple study sites acquire imaging data and other assessors. Potentially LARGE throughput. ( maybe 1000 scans for year? )
-'''Step 2.''' Combination of automatic (DICOM) and manual (custom?) markup of data and upload to central repository
+'''Step 2.''' QC batch client 1 (at each site) automatically queries XNAT for protocol table (for site/subject/scanID/projectName), retrieves table, performs QC, validates/edits/deidentifies DICOM fields, generates QC report and notifies any site of errors in (or any missing) datasets. DICOM and/or custom metadata is applied, data is uploaded
-'''Step 3.''' QC batch client 1 automatically queries for protocol table (for site/subject/scanID), retrieves, performs QC, validation of DICOM data, deidentifies, generates report and notifies any site of errors in (or missing) datasets, metadata is applied, data is uploaded
+'''Step3.''' QC batch client 2 (automatically?) queries for (site/subject/scanID/projectname): how many datasets do I need to process?, retrieves. For each new dataset: batch a visual inspection of data, render assessment form (current) unspecified tests, generates report when completed form is submitted.
-'''Step4.''' QC batch client 2 (automatically?) queries for (site/subject/scanID), retrieves, allows visual inspection of data and report generation.
+'''Step4.''' Report is automatically uploaded and associated (via custom metadata) with image data.
-'''Step5.''' Report is automatically uploaded and associated with image data.
+'''Step5.''' QC batch client 3 - N (number of processing pipelines) queries for all data passing QC2, performs processing, performs QC on the processing and presents results for visual inspection, generates report, tag & upload all successful processing results and report.
 ==NOTES:==

@@ Line 167: / Line 167: @@
 '''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 (protocol table 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)...
+'''Step 3.''' QC batch client 1 automatically queries for protocol table (for site/subject/scanID), retrieves, performs QC, validation of DICOM data, deidentifies, generates report and notifies any site of errors in (or missing) datasets, metadata is applied, data is uploaded
-'''Step4.''' Additional metadata may be automatically applied (provenance?) and data is uploaded.
+'''Step4.''' QC batch client 2 (automatically?) queries for (site/subject/scanID), retrieves, allows visual inspection of data and report generation.
-'''Step5.''' QC batch client 2 (automatically?) queries for (site/subject/scanID), retrieves, allows visual inspection of data and report generation.
+'''Step5.''' Report is automatically uploaded and associated with image data.
-'''Step6.''' Report is automatically uploaded and associated with image data.
+'''Step6.''' queries for all data passing QC2, performs processing, QC on the processing, visual inspection, report generation, tag & upload
 ==NOTES:==

@@ Line 167: / Line 167: @@
 '''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)...
+'''Step 3.''' QC batch client 1 automatically queries for (protocol table 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.

@@ Line 6: / Line 6: @@
 * Determine sufficiency of XNAT Data Model for representative use cases
-Next steps;
+'''Next steps:'''
 * Refine description begun below
 * populate the following categories for each use case:

@@ Line 6: / Line 6: @@
 * Determine sufficiency of XNAT Data Model for representative use cases
 <br>
 <br>

@@ Line 197: / Line 197: @@
 = Use Case 4: Longitudinal Studies =
 [[image:XNAT_LongitudinalUseCase.png]]
 == Workflow ==
 '''Step1.''' Imaging data and other assessors (induced pathology, etc.) are acquired and saved to a network disk.

@@ Line 90: / Line 90: @@
 [[image:XNAT_RTPlanningUseCase.png]]
-'''------------------MODIFICATIONS TO COME...-------------------------------'''
+'''------------------MODIFICATIONS TO THIS DESCRIPTION TO COME...-------------------------------'''
 == Workflow ==

← Older revision		Revision as of 11:16, 26 June 2009
Line 198:		Line 198:

	= Use Case 4: Longitudinal Studies =		= Use Case 4: Longitudinal Studies =
		+
		+	'''------------------MODIFICATIONS TO COME...-------------------------------'''
		+
	[[image:XNAT_LongitudinalUseCase.png]]		[[image:XNAT_LongitudinalUseCase.png]]