Difference between revisions of "CTSC IGT, BWH"
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** Key Investigators: | ** Key Investigators: | ||
** Brief Description: | ** Brief Description: | ||
+ | ** Use: What kinds of queries will be important? | ||
* NCIGT_Tumor_Resection (HK/AG) | * NCIGT_Tumor_Resection (HK/AG) | ||
** Key Investigators: | ** Key Investigators: | ||
** Brief Description: | ** Brief Description: | ||
+ | ** Use: What kinds of queries will be important? | ||
+ | * NCIGT_Glioma_Resection (HK) | ||
+ | ** Key Investigators: | ||
+ | ** Brief Description: Intraoperative MRT brain only | ||
+ | ** Use: What kinds of queries will be important? sex,age,tumor size, tumor grade, tumor location (lobe) | ||
* NCIGT_Prostate (HE/CT) | * NCIGT_Prostate (HE/CT) | ||
** Key Investigators: | ** Key Investigators: | ||
** Brief Description: | ** Brief Description: | ||
+ | ** Use: What kinds of queries will be important? | ||
* NCIGT_Prostate_Fully_Segmented (HE/CT) | * NCIGT_Prostate_Fully_Segmented (HE/CT) | ||
** Key Investigators: | ** Key Investigators: | ||
** Brief Description: | ** Brief Description: | ||
+ | ** Use: What kinds of queries will be important? | ||
* NCIGT_Brain_Biopsy (FT) | * NCIGT_Brain_Biopsy (FT) | ||
** Key Investigators: | ** Key Investigators: | ||
** Brief Description: | ** Brief Description: | ||
+ | ** Use: What kinds of queries will be important? | ||
=Use-Case Goals= | =Use-Case Goals= | ||
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'''Step 3. Disseminating & Sharing''' | '''Step 3. Disseminating & Sharing''' | ||
* In addition to NCIGT mandate to share data, each effort listed above will have different requirements for being able to make data available to collaborating and other interested groups. | * In addition to NCIGT mandate to share data, each effort listed above will have different requirements for being able to make data available to collaborating and other interested groups. | ||
+ | |||
+ | '''Step 4. Moving data from central.xnat.org to BWH instance of XNAT''' | ||
=Outcome Metrics= | =Outcome Metrics= | ||
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==Current Data Management Process== | ==Current Data Management Process== | ||
+ | Data on local disk. | ||
− | ==Target Data Management Process (Step 1.) Option A. | + | ==Target Data Management Process (Step 1.) Option A. interactive upload using various tools and web gui == |
− | + | See [[ CTSC_DataManagementWorkflow | here ]] | |
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− | + | ==Target Data Management Process (Step 1.) Option B. batch scripted upload via DICOM Server == | |
− | + | See [[ CTSC_DataManagementWorkflow | here ]] | |
− | + | ==Target Data Management Process (Step 1.) Option C. batch scripted upload via web services== | |
− | + | See [[ CTSC_DataManagementWorkflow | here ]] | |
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==Target Query Formulation (Step 2.)== | ==Target Query Formulation (Step 2.)== |
Latest revision as of 20:26, 19 August 2009
Home < CTSC IGT, BWHBack to CTSC Imaging Informatics Initiative
Contents
- 1 Mission
- 2 Use-Case Goals
- 3 Outcome Metrics
- 4 Fundamental Requirements
- 5 Participants
- 6 Data
- 7 Workflows
- 7.1 Current Data Management Process
- 7.2 Target Data Management Process (Step 1.) Option A. interactive upload using various tools and web gui
- 7.3 Target Data Management Process (Step 1.) Option B. batch scripted upload via DICOM Server
- 7.4 Target Data Management Process (Step 1.) Option C. batch scripted upload via web services
- 7.5 Target Query Formulation (Step 2.)
- 7.6 Target Processing Workflow (Step 3.)
- 8 Other Information
Mission
Mark Anderson at Surgical Planning and Channing labs currently manages data for many investigators, pulling data from PACS into the research environment. There is interest in setting up a parallel channel by which the data are also enrolled into an XNAT database and accessed from client, and comparing its ease of use with the existing infrastucture. To explore XNAT as a possible long-term informatics solution for the NCIGT project, Mark will be uploading retrospective data for a number of NCIGT efforts (and PIs):
- NCIGT_Brain_Function (SS/AG)
- Key Investigators:
- Brief Description:
- Use: What kinds of queries will be important?
- NCIGT_Tumor_Resection (HK/AG)
- Key Investigators:
- Brief Description:
- Use: What kinds of queries will be important?
- NCIGT_Glioma_Resection (HK)
- Key Investigators:
- Brief Description: Intraoperative MRT brain only
- Use: What kinds of queries will be important? sex,age,tumor size, tumor grade, tumor location (lobe)
- NCIGT_Prostate (HE/CT)
- Key Investigators:
- Brief Description:
- Use: What kinds of queries will be important?
- NCIGT_Prostate_Fully_Segmented (HE/CT)
- Key Investigators:
- Brief Description:
- Use: What kinds of queries will be important?
- NCIGT_Brain_Biopsy (FT)
- Key Investigators:
- Brief Description:
- Use: What kinds of queries will be important?
Use-Case Goals
Step 1. Data Management
- Anonymize, apply DICOM metadata and upload retrospective datasets; confirm appropriate organization and naming scheme via web GUI.
Step 2. Query & Retrieval
- Make specific queries using XNAT web services,
- Download data conforming to specific naming convention and directory structure, using XNAT web services
Each effort listed above will have different requirements for being able to query, retrieve and use data collections. Brief description of how retrospective data will be used within the NCIGT is described below:
- NCIGT_Brain_Function:
- NCIGT_Tumor_Resection:
- NCIGT_Prostate:
- NCIGT_Prostate_Fully_Segmented:
- NCIGT_Brain_Biopsy:
Step 3. Disseminating & Sharing
- In addition to NCIGT mandate to share data, each effort listed above will have different requirements for being able to make data available to collaborating and other interested groups.
Step 4. Moving data from central.xnat.org to BWH instance of XNAT
Outcome Metrics
Step 1. Data Management
Step 2. Query & Retrieval
Step 3. Dissemination & Sharing
Fundamental Requirements
Participants
- Mark Anderson
- Tina Kapur
Data
Workflows
Current Data Management Process
Data on local disk.
Target Data Management Process (Step 1.) Option A. interactive upload using various tools and web gui
See here
Target Data Management Process (Step 1.) Option B. batch scripted upload via DICOM Server
See here
Target Data Management Process (Step 1.) Option C. batch scripted upload via web services
See here