Title: Information Guided Therapy Resources

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Title Information Guided Therapy Resources

• Laurence P. Clarke Ph.D.
• Branch Chief
• Imaging Technology Development
• Image Guided Therapy
• NCI Biomedical Imaging Program, USA

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NCI
Division of Cancer Treatment and Diagnosis (DCTD)
Cancer Diagnosis Program (CDP)
Develop- mental Therapeutics Program (DTP)
Cancer Therapy Evaluation Program (CTEP)
Radiation Research Program (RRP)
Biomedical Imaging Program(BIP)
Diagnostic Imaging Branch
Molecular Imaging Branch
Image-guided Therapy Branch
Imaging Technology Development Branch
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Branches ITDB and IGT

• Support basic research, technology development,
  integration, and feasibility testing for novel
  imaging sensors and contrast materials.
• Develop initiatives to facilitate partnerships
  with academia/ industry/ SBIR/STTR.
• Develop of centers of excellence, imaging
  networks and research resources to promote
  translational research.
• Promote programs(NIH inter-institute and
  inter-agency programs within the USA) and
  international.

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NCITypes of New Initiatives (1998-01)

• Research Centers of Excellence (Molecular
  Imaging)
• Small Animal Resource Centers (Molecular Imaging)
• National Distributed Research Resources
• Research Interface Software ( Ultrasound).
• Image Databases for Software Evaluation
  (Lung CT).
• Platform Independent Imaging Methods (MRI).
• NCI/NIBIB New funding mechanisms tailored for
  Imaging Technology Development, including
  IGT/IGS.

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NCI/NIBIB Novel Imaging Technologies

• Aim Support high risk/high gain imaging
  technologies, such as molecular imaging,
  including proof of feasibility studies as opposed
  to hypothesis based research.
• Goal Full support for the development and/or
  integration of novel technologies with
  traditional imaging methods with specific
  deliverables at the end of the funding period.
• Areas
• Early cancer detection/ other disease processes.
• Large screening applications/ other disease.
• Imaging for diagnosis, staging, therapy.
• Image guided biopsy and novel forms of therapy.

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PAR Novel Imaging Technologies

• NCI/NCRR Phased Innovation Award (R21/R33).
  Specifically designed for technology development,
  with provision of academic/ industry
  partnerships.
• Combined R21/R33 or R33 alone R21 Feasibility
  study. R33 Technology development / feasibility.
• Parallel SBIR/STTR Similar scope and
  timetable.
• NCI Review Reviewers Academia and Industry and
  small business.
• Applications 1st Round 40 4 funded, 2nd Round
  70
• Future Multiple Prototypes SB Joint Ventures.

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Cars 2000 Panel ReportChallenges and
Opportunities in Computer Assisted Interventions.

• Laurence P. Clarke
• Richard D. Bucholtz
• Henry Fuchs
• Ron Kikinis
• Richard A. Robb
• Ramin Shahidi
• Michael Vannier

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Visualization Standards

• In order to make 3D imaging more reliable and
• widely used, the following protocols are
• recommended to be developed
• Standards for 3D image Acquisition.
• Standards in visualization parameters to
  categorize various types of tissues in 3D models.
• Standards for interpretation of 3D images.

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Validation Standards

• In order to make the validation process more
• compatible across platforms, recommend protocols
  
• Breaking down overall systems errorin a given
  system to its basic components.
• Protocols wherein all basic errors components can
  be tested and measured using the same criteria.
• Initiating open dialogue between centers for
  communication and sharing validation results.

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Automatic Segmentation

• Need for involvement of non traditional
• disciplines and approaches
• Attract new investigators ( Computer scientists,
  mathematicians and pattern recognition experts).
• Identify and distribute international
  requirements for image segmentation verses
  diagnostic requirements for the scientific
  community.
• Specific segmentation research for IGT, such as
  interactive methods as necessary to enhance
  reliability.

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Real Time Visualization

• Need for implementation techniques for real
• time image rendering
• Real time volumetric data deformation techniques.
• Fast 3-D visualization of inter-operatively-acquir
  ed data, such as US images.
• Mechanisms for intuitive presentations of 3D
  information during ongoing surgical procedures,
  such as augmented reality

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Data Correlation

• Need to address one of the large sources of
  error,
• namely tissue deformity that occurs between per-
• operative and tissue intervention using methods
• such as
• 2D/3D registration (e.g. intra-operative X-ray or
  endoscopic data registration with CT/MRI).
• Identifying and development of quantifiable
  methods for the prediction and interpolation of
  tissue deformation during therapeutic procedures.
• Development of novel algorithms for more robust
  registration methods.

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Tracking techniques

• Significant improvement is necessary for tracking
  
• of surgical tools in a stereotactic space, and
  thus
• the following is recommended
• Design of novel instruments for tracking with
  emphasis on miniaturized systems using NANO/MEMS
  fabrication technology.
• Investigation of the effects of tissue types on
  such systems.
• Computer controlled effectors and interface
  standards, in a flexible plug and play format

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Machine and Human Interface

• There is a need to focus on the human operation
  of computer
• assisted systems and develop more advanced
  systems
• Smart tools that can conduct intra-operative
  anatomical/ functional imaging and access
  trajectory of the surgical path.
• Smart displays that minimize the surgeons need to
  coordinate eye hand movements and enhance target
  recognition.
• Customized human/computer interfaces for sterile
  environments ( I.e. eliminate keyboards/mouse)
• Robotically activated devices for scaling
  macroscopic and microscopic movements.

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New Clinical Applications for Emerging
Technologies

• Systems need to be evaluated based on cost
• increase verses potential health benefit and thus
  the
• following is recommended
• Set the gold standard for assessing the impact of
  specific technologies on medicine.
• Measure the benefits and drawbacks for different
  IGT technologies.
• Create a training programs for IGT technologies
  for next generation of physicians.

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NCI BIP WebPage

• URL www.nci.nih.gov/dip/
• Email Newsletter Monthly Updates js95x_at_nih.gov
• Contact lclarke_at_mail.nih.gov

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