Small Animal Imaging

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Small Animal Imaging

• SA SIG

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FAC

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

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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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State-of-the-Art

• Human Imaging
• VS
• non-human animal imaging.
• THUS
• Reverse Translation of Human Imaging to Animal
  Imaging Technology Required.

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Visualization and Quantification of Fat
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Models Prostate Cancer
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Imaging Radiology to Histology
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Imaging MRI Histology
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Novel Contrast Agents
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Contrast Agents In-Vivo, In-Vitro
NIST NINDS GUMC
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Concept of Integrated Imaging
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Pre-Post Intervention Link

Adapted from Dr. T. J. FitzGerald, Quality
Assurance Review Center Directors Thursday
Presentation.

• Free text is perhaps not the best annotation for
  preclinical research data. Classification may be
  needed. VOCABULARY

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Stereotaxic Surgery
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Stereotaxic Imaging
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Histological Sectioning
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Todays Products
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Some Industry SAI Leaders
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SOME Collaborating Institutions
You Too can become a part of this!
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Objectives

• 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.

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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.

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Prioritize Small Animal imaging projects for
Workspace.

• Call to Industry.
• Call to major small animal imaging centers.
• Use of survey material

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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).

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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

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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.

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Define operational requirements and procedures
for caBIG integration of relevant small animal
medical imaging commercial software systems.
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Prioritize tool and software development
requirements.
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Create specifications against prioritized tools
and activities.
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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.

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

• Vocabulary Species, Models, contrast
  agents/tracers/ligans, Coordinates (rostral),
  Identifiers.