1 / 23

MIRC for NIH Research Consortia

MIRC for NIH Research Consortia. John Pearson, Ph.D. Siemens Corporate Research Princeton, NJ. InfoRad, RSNA, 2004. Introduction: MIRC for NIH Research “Networks”. New U54 Program Announcements establish multi-institutional, inter-disciplinary consortia

oliver
Download Presentation

MIRC for NIH Research Consortia

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. MIRC for NIH Research Consortia John Pearson, Ph.D.Siemens Corporate ResearchPrinceton, NJ InfoRad, RSNA, 2004

  2. Introduction: MIRC for NIH Research “Networks” • New U54 Program Announcements establish multi-institutional, inter-disciplinary consortia • Consortia are formed to pool expertise, validate approaches, forge common instrumentation platforms, and rapidly translate promising new medical imaging technologies toward clinical trials. • One such consortia is the “Breast Cancer Diffuse Optical Imaging” (BCDOI) network, sponsored by the NCI’s “Networks for Translational Research: Optical Imaging” (NTROI). • 5 year, $18M program started Sept. 2003 • UCI (B. Tromberg, PI), MIT/MGH, Dartmouth, UPENN, SCR, U. Illinois, NIH • This talk introduces the BCDOI’s plans for developing a MIRC-based infra-structure to support multi-institutional imaging research • Our extensions to MIRC, called C-MIRC (“C” for “Collaboration), will be made in a general way to support multi-institutional imaging research projects • The spirit of C-MIRC is to provide a “Collaborative Lab Notebook” to enable the multi-institutional team to function as a seamless organization – we invite your suggestions!

  3. C-MIRC Hierarchical Data Representation Program (e.g., Multimodal Fusion) Project (e.g., MR/Optical Fusion, or Tomosynthesis/Optical Fusion) Research Category Levels Experiment (e.g., MR/Optical with UPENN imager using ICG contrast) Subject Study Data Levels  Series Data The Data can be in many formats and containers, including DICOM/PACS, but also unstructured documents – whatever is convenient to the researcher.

  4. Centralized Management of Metadata, Forms, User Accounts, Distributed Local Storage of Data Files Files PACS PACS Files Links to Image/Lab Data Dartmouth UPENN Forms, Users, Metadata Secure Connection SCR PACS PACS Links to Image/Lab Data Files Lab Data PACS Lab Data MIT-MGH UCI

  5. C-MIRC Service Overview C-MIRC C-MIRC C-MIRC CLN Specific Services Data Exchange via XML over the Internet CLN Integrated Bulletin Board Experiment Submit Experiment Collection Compute Plugins C-MIRC MIRC Extension Services Meta data Tree Storage Tree Query Collaborative Notification C-MIRC MIRC Core Services CLN: Collaborative Lab Notebook

  6. Enter Username and Password to logon to the system.

  7. „Where Am I“ Navigation within Hierachy Recent Messages and tasks pending.

  8. List of Experiments we can currenty access

  9. We can link data to a Study be selecting a PACS.

  10. Browse the PACS structure and add pictures.

  11. We want to search for some data at the C-MIRC at UPENN. Select UPENN from The listbox in the Program tab

  12. We want to search for some data at the C-MIRC at UPENN. Select UPENN from The listbox in the Program tab To see which projects there are within this program click the Project Tab

  13. There are currently only two projects at UPENN. We select the DOT/MR Fusion Project ...

  14. There are currently only two projects at UPENN. We select the DOT/MR Fusion Project ... ... And hit the search button.

  15. As a result we get the records found as a tree. To make the tree simpler, we can change the hierachy level to Experiment.

  16. Now the tree starts with the Experiment. By clicking on Listview we get a list of all Experiments (Hierachy Level).

  17. This Project contains one Expertiment. By Clicking on the Experiment, we get the Subjects below.

  18. This Experiment contains two Subjects. Notice, that the Hierachy chanced to Subject.

  19. Next Steps • Sept 2004: Project started • Currently refining user interface concepts and data architecture with university partners • Jan 2005: First MIRC system deployed to “get feet wet” • June 2005; First C-MIRC deployed to UPENN • Oct 2005: begin deploy C-MIRC to all consortia members, expand functionality based on feedback during the next year. • We welcome your feedback!

  20. MIRC Extension Service • Tree Query Service: Enables MIRC users to query data stored within NOMIC systems. • Tree Submit Service: Enables MIRC users to place MIRC documents within the tree structure of NOMIC. • Smart Notification Service : Send Messages in relation to information stored in a NOMIC system.

  21. NOMIC Sample Experiment Data Program Caner Vaccines Project Breath Caner Vaccines Experiment Vaccine HER-2 on Residual DNA Callibration Data Subject Andrea, Johnson; 09/10/1978 .. Study Series Data

  22. NOMIC Functionality Overview • Use RSNA MIRC multi-site web technology for sharing, distributing and collecting medical experiment data • While NOMIC focuses on the experiment hierarchy model, MIRC focuses on the teaching document model. They have shared data elements. • NOMIC will function as a collaboratory lab notebook (CLN) to support experiment submission, query and collection among multiple NOMIC sites • NOMIC can exchange experiment records over the internet using MIRC based XML Schema

  23. CLN Specific Services • Experiment Submit Service: Link data from PACS/FTP/File Servers to RDBMS. • Experiment Collection Service: Automatic collecting experitment data from multiple NOMIC sites; The output forms of collected data will be based on format criteria such as Excel and CVS • CLN Plugin Service: Interface for advanced lab data online analysis.

More Related