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Imaging Informatics at NCI

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Quality assurance. Overreads. Data analysis. Quality assurance. Software development ... Support repurposing of data generated by and archived for clinical trials ... – PowerPoint PPT presentation

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Title: Imaging Informatics at NCI


1
  • Imaging Informatics at NCI
  • NCIA and caBIG Imaging Workspace

2
Imaging InformaticsVision and Goals
  • Support distribution of imaging data and
    associated metadata for
  • Image review
  • Annotations and mark-ups
  • Quality assurance
  • Overreads
  • Data analysis
  • Quality assurance
  • Software development
  • Device, drug, and software regulation and
    development

3
Imaging Informatics Product LineVision and Goals
  • Support repurposing of data generated by and
    archived for clinical trials
  • Imaging informatics software open and freely
    distributed to other sites
  • Interactive display of image data by authorized
    users for various subsets of an image database

4
  • Link imaging infrastructure to other NCI
    enterprise wide research data management systems
  • Include pertinent vocabularies available through
    the Enterprise Vocabulary Services and include
    Common Data Elements

5
Imaging Informatics Product LineVision and Goals
  • Support data-driven oncology medical
    decision-making in research and clinical care
    throughout the world
  • Create in Vivo Medical Imaging Workspace which
    will foster and accelerate work in
    interoperability, and in creating, optimizing,
    and validating imaging data and imaging software
    tools

6
NCIA
  • Creation of National Cancer Imaging Archive, NCIA
  • Software for archive open and freely
    distributable and available for downloads
    beginning in April 2006
  • Capacity of archive is currently approximately 10
    Terabytes with tape backup
  • Support for LIDC, RIDER, IDRC (Imaging Database
    Resource Initiative)

7
JBoss
Retrieval
Data Transfer Object (DTO)
Java Server Faces (JSF)
HTTP FTP
Field Centers at Remote Clinical Sites
Cancer Centers
Processors Query, Result set, User Registration,
Lookup Manager, CSM, Export
Submission
Data Access Layer
Data Manager
Data Manager
MDB Image zipping
Tomcat
Academia
MIRC
NCI Object API caCORE SDK
CSM API
MIRC Storage Service
DICOMHTTP HTTPS
Hibernate (I3 ORM)
Hibernate (CSM)
Hibernate (I3 ORM)
Firewall
MIRC DICOM Service
Industry
MIRC Database Service
NCIA DB (Annotations Image, Clinical, Markup,
etc.)
File System (DICOM, XML, DOC)
Researchers
Curation
8
Proposed FY2015 Infrastructure Vision
FDA Gateway
Metadata Extensions and Interfaces
CTMS I/F (Clinical)
caBIG caTISSUE (Biospecimen)
NCIA I2 Image Archive Solution
Researchers (Industry, Academia, Cancer Centers)
NCICB caArray (Gene Expression)
Other (Proteomics, Histopathology, Animal, etc.)
caBIG Grid
PACS
NCIA Image Archive Solution
NCIA Image Archive Solution
Clinical Researchers
Clinical Research Cancer Centers
Clinical Care Facilities
Physicians
9
NCI Imaging Informatics Image Repository Web
PageLibraries Available for Secure Download
10
I2 Imaging Informatics Virtual Colonoscopy
11
caBIG In Vivo Imaging Workspace
  • Mission identify and improve the ways in which
    the wealth of information provided by such
    imaging, performed at academic and other research
    centers across the country, can be shared,
    optimized, and most effectively integrated into
    the ongoing effort to relieve suffering and death
    from cancer
  • The In Vivo Imaging Workspace was launched during
    the first week of October 2005

12
  • Initial efforts will involve enlisting the widest
    possible representation from cancer centers,
    industry, organizations, and standards-setting
    groups
  • Among the earliest of the cooperative workspace
    tasks has been the identification of overall aims
    and the most urgent challenges in cancer imaging
    and sharing of data
  • The workspace will define the needs for and
    participate in creating, optimizing, and
    validating tools and methods to extract meaning
    from in vivo imaging data

13
  • In this process, participants will also be
    actively engaged in defining, refining, and
    evolving interoperable in vivo imaging
    informatics data standards
  • The in vivo imaging technologies and modalities
    addressed will include systems for research and
    clinical imaging of live patients and animals
    (including single-cell organisms) used as model
    systems for human disease

14
caBIG In Vivo Workspace
  • 15 subject matter experts named in late summer
    2005
  • First teleconference in Fall and then first face
    to face in mid December 2005
  • 4 groups and leaders
  • Software
  • Vocabulary and lexicon
  • Standards
  • Grid/Architecture becoming Testbed

15
caBIG In Vivo Workspace
  • Highlights of 4 group recommendations available
    on LISTSERV and include
  • Research workstation and software
  • Vocabulary and Lexicon
  • Standards such as IHE, small animal, clinical
    trials, teaching, grid enabled
  • Testbed RHIO and CAD after meeting in Columbus
    Ohio with Joel Saltz et al

16
Plans for 2006 and Beyond
  • Visualization
  • Additional libraries of images will be added
  • Additional imaging services can be provided such
    as trial support and then remote viewing for many
    purposes
  • Pathology and other non-radiology imaging?
  • Would require major expansion and enhancements!

17
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