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Small Animal Imaging

Small Animal Imaging. SA SIG. FACT. Most humans are all animal Not all animals are human You have a head on your shoulders…. Quick History. Long long ago… Beginnings of Human Imaging. Late ‘70s digital imaging “tomography.” Human based on the *scientific concept of the crown. *Archimedes.

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Small Animal Imaging

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  1. Small Animal Imaging SA SIG

  2. FACT • Most humans are all animal • Not all animals are human • You have a head on your shoulders…

  3. Quick History • Long long ago… Beginnings of Human Imaging. • Late ‘70s digital imaging “tomography.” • Human based on the *scientific concept of the crown. *Archimedes

  4. State-of-the-Art Human Imaging VS non-human animal imaging. THUS Reverse Translation of Human Imaging to Animal Imaging Technology Required.

  5. Visualization and Quantification of Fat

  6. Models: Prostate Cancer

  7. Imaging: Radiology to Histology

  8. Imaging: MRI Histology

  9. Novel Contrast Agents

  10. Contrast Agents: In-Vivo, In-Vitro NIST NINDS GUMC

  11. Concept of Integrated Imaging

  12. Pre-Post Intervention Link * *Adapted from Dr. T. J. FitzGerald, Quality Assurance Review Center Director’s Thursday Presentation. • Free text is perhaps not the best annotation for preclinical research data. Classification may be needed. VOCABULARY

  13. Stereotaxic Surgery

  14. Stereotaxic Imaging

  15. Histological Sectioning

  16. Today’s Products

  17. Some Industry SAI Leaders:

  18. SOME Collaborating Institutions: You Too can become a part of this!

  19. Establish overall structure and scope for Small Animal Imaging projects. Prioritize Small Animal imaging projects for Workspace. Define requirements for Small Animal Imaging data management standards. Propose integration requirements for “caBIG™ Compliant” In Vivo Imaging data management software and tools. Define operational requirements and procedures for caBIG™ integration of relevant small animal medical imaging commercial software systems. Prioritize tool and software development requirements. Create specifications against prioritized tools and activities. Develop test and validation requirement standards for Workspace software and tools. Review completed tools and projects, and evaluate against initial specification, test and validation requirements. Objectives:

  20. Establish overall structure and scope for Small Animal Imaging projects. • Call to Industry and SAILs centers • Import/export of image data, meta file data. • Link to associated data, spectroscopy, histology, etc. (to be defined.) • Visualization tools (“veterinary radiology” space.), mapping of multimodality data. • Identifier/classification labeling. • Annotation + CAD.

  21. Prioritize Small Animal imaging projects for Workspace. • Call to Industry. • Call to major small animal imaging centers. • Use of survey material

  22. Define requirements for Small Animal Imaging data management standards. • Read/import image data from all digital imaging sources (DICOM may not be correctly implemented on these systems.) • Read/import metafile information (not always part of header, sometimes separate file or not available.) • Link radiological image data to histological image data and potentially. • Map animal data to relevant human disease (Jackson Lab).

  23. Define requirements for Small Animal Imaging data management standards. (Continued) • White paper on SAI data sources/formats. • Identifier/classification labeling (modality(ies), species, type of animal model (genetic, induced, xenograft, mode of induction) • Link data to genetic/other data. • Veterinary coordinate system

  24. Propose integration requirements for “caBIG™ Compliant” In Vivo Imaging data management software and tools. • Linear Methodology. • Call to Standards and Interoperability (SIO). • Call to Software • Suggest standards to industry and SAILs perhaps through NCI, NCRR and other relevant funding agencies.

  25. Define operational requirements and procedures for caBIG™ integration of relevant small animal medical imaging commercial software systems.

  26. Prioritize tool and software development requirements.

  27. Create specifications against prioritized tools and activities.

  28. Develop test and validation requirement standards for Workspace software and tools. • Call to test bed “what are you doing” (remember: emulation is the highest form of flattery) I.e. evaluate tumor volume with model (growth) and treatment (smaller??). • Co-register modalities, phantom work.

  29. Review completed tools and projects, and evaluate against initial specification, test and validation requirements.

  30. Summary • Vocabulary: Species, Models, contrast agents/tracers/ligans, Coordinates (rostral…), “Identifiers”.

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