Difference between revisions of "2014 Summer Project Week: Chronicle"
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Image:PW-MIT2014.png|[[2014_Summer_Project_Week#Projects|Projects List]] | Image:PW-MIT2014.png|[[2014_Summer_Project_Week#Projects|Projects List]] | ||
| + | Image:Chronicle-muscles_login-2014-05-22.png | ||
| + | Image:Chronicle-muscles_scan-select-2014-05-22.png | ||
| + | Image:Chronicle-muscles 1-2014-05-22.png | ||
| + | Image:Chronicle-muscles 2-2014-05-22.png | ||
</gallery> | </gallery> | ||
==Key Investigators== | ==Key Investigators== | ||
| + | * Steve Pieper, Isomics | ||
| + | * Anyone else who is interested | ||
| + | ==Project Description== | ||
| − | = | + | Chronicle is an idea to have a database and processing system based on [http://dicom.nema.org DICOM] and [http://couchdb.apache.org CouchDB]. The basic ideas are covered in [https://docs.google.com/document/d/1gLv74QRUYPSZTHe5o_9KaTbKJhRZ0rHFBXAp3LqFM7s/edit?usp=sharing the Chronicle Pamphlet]. |
<div style="margin: 20px;"> | <div style="margin: 20px;"> | ||
<div style="width: 27%; float: left; padding-right: 3%;"> | <div style="width: 27%; float: left; padding-right: 3%;"> | ||
<h3>Objective</h3> | <h3>Objective</h3> | ||
| − | * | + | * Lots of DICOM and related data to be organized for easy access |
| + | ** Standardized representations | ||
| + | ** Distributed replication | ||
| + | ** Filtered replication | ||
| + | ** Simultaneous access and update | ||
| + | * Automatic triggering of processing modules | ||
| + | ** Auto data conversion | ||
| + | ** Workflow management | ||
| + | * Access from a variety of tools | ||
| + | ** Slicer | ||
| + | ** Web Apps | ||
| + | ** Batch | ||
| + | |||
</div> | </div> | ||
<div style="width: 27%; float: left; padding-right: 3%;"> | <div style="width: 27%; float: left; padding-right: 3%;"> | ||
<h3>Approach, Plan</h3> | <h3>Approach, Plan</h3> | ||
| − | * | + | * Give demos of current work in progress if people are interested |
| + | * Discuss | ||
| + | ** NoSQL | ||
| + | ** JavaScript | ||
| + | ** MapReduce for Medical Records | ||
| + | ** DICOM, Electronic Medical Records | ||
| + | ** HTML5 Apps, WebGL | ||
| + | ** [http://github.com/pieper/SlicerChronicle SlicerChronicle] | ||
</div> | </div> | ||
<div style="width: 27%; float: left; padding-right: 3%;"> | <div style="width: 27%; float: left; padding-right: 3%;"> | ||
<h3>Progress</h3> | <h3>Progress</h3> | ||
| − | * | + | * Held productive discussions with several possible users |
| + | ** MGH for GBM research | ||
| + | ** Childrens/MGH/BWH for RPDR and mi2b2 data management | ||
| + | ** U. Iowa Huntingtons clinical data management | ||
| + | * Did experimental uploads to couchdb server installed in Iowa | ||
| + | ** uploads ongoing (225K instances so far on one server) | ||
| + | ** performance appears to be good even with lots of data | ||
| + | * Reviewed scalability with Jim | ||
</div> | </div> | ||
</div> | </div> | ||
Latest revision as of 14:11, 27 June 2014
Home < 2014 Summer Project Week: Chronicle
Key Investigators
- Steve Pieper, Isomics
- Anyone else who is interested
Project Description
Chronicle is an idea to have a database and processing system based on DICOM and CouchDB. The basic ideas are covered in the Chronicle Pamphlet.
Objective
- Lots of DICOM and related data to be organized for easy access
- Standardized representations
- Distributed replication
- Filtered replication
- Simultaneous access and update
- Automatic triggering of processing modules
- Auto data conversion
- Workflow management
- Access from a variety of tools
- Slicer
- Web Apps
- Batch
Approach, Plan
- Give demos of current work in progress if people are interested
- Discuss
- NoSQL
- JavaScript
- MapReduce for Medical Records
- DICOM, Electronic Medical Records
- HTML5 Apps, WebGL
- SlicerChronicle
Progress
- Held productive discussions with several possible users
- MGH for GBM research
- Childrens/MGH/BWH for RPDR and mi2b2 data management
- U. Iowa Huntingtons clinical data management
- Did experimental uploads to couchdb server installed in Iowa
- uploads ongoing (225K instances so far on one server)
- performance appears to be good even with lots of data
- Reviewed scalability with Jim
