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A Succinct Introduction to Image-Guided Interventions

A Succinct Introduction to Image-Guided Interventions. Ziv Yaniv Sheikh Zayed Institute for Pediatric Surgical Innovation Children's National Medical Center . Last Modified September 2011. If You Don't Know Where You're Going, Any Road Will Get You There (Lewis Carroll).

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A Succinct Introduction to Image-Guided Interventions

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  1. A Succinct Introduction to Image-Guided Interventions ZivYaniv Sheikh Zayed Institute for Pediatric Surgical Innovation Children's National Medical Center Last Modified September 2011

  2. If You Don't Know Where You're Going, Any Road Will Get You There(Lewis Carroll) Where are we going: • Patient specific. • Treat the medical condition without damaging healthy tissue. Are we there yet? Insightec’sExAblateNeuro System Where no man has gone before: Star Trek IV, The Voyage Home

  3. The Process(Lung Biopsy Example) Pre/Intra-operative Planning Diagnosis Intra-operative Plan Execution And Modification Post-operative Evaluation

  4. Elements of Image-Guided Interventions • Imaging. • Segmentation. • Registration. • Tracking. • Visualization. • Robotics. • The devil is in the details: • Image characteristics and content • Algorithm parameters • Physical constraints, or lack thereof • Computational complexity • System integration

  5. A journey of a thousand miles begins with a single step (Lao-tzu) December 22’nd 1895, Wilhelm Conrad Röntgen acquires the first x-ray image: wikimediacommons

  6. Imaging • Look inside the body with minimal damage to healthy tissue. • Does the modality have detrimental effects? • Ionizing radiation • What does the image convey? • Structure, Function • What is the image dimensionality? • 2D tomographic, 2D projective, 3D,2D+time, 3D+time (time is not commensurate with space) • Does the image exhibit artifacts? • Geometry, Intensity • What are the characteristics of the imageelement? • Number of channels, Range of values • What is the data storage format?

  7. Segmentation • Delineating objects in medical images. • Why do we want to segment the data? • Planning, Registration • What do we want to segment? • Man made objects - designed for detection, Anatomical structures – context specific. • What is the degree of automation and what is the computational complexity? • manual semi-automatic automatic • What approach to use? • Low level process – only use information obtained from the image (threshold, region growing, clustering, edge detection). • High level process – incorporate prior knowledge(active contours/snakes, level sets, active appearance and shape models). MeVis Medical Solutions

  8. Registration • Establish a common geometric reference frame between data sets. • Why do we want to register the data? • Transfer plan to physical space, Merge multiple sources of information, Construct anatomical atlas • Which transformation? • rigid affine deformable+constraints • What type of data does the method use?points, contours, surfaces, intensities, gradients • Is the solution closed form or iterative? • Iterative – how is it initialized? what is the computational complexity? Hawkes et al. IGI book

  9. Tracking Determine the position and orientation of tools and anatomical structures relative to a fixed coordinate system – mostly commercial systems. • How does the system work? • optical IR, optical visible light, electromagnetic, mechanical • What are the system characteristics? • refresh rate and lag, number of objects tracked simultaneously, working volume, wired or wireless tools. • Is the system performance effected by the environment? • ferromagnetic materials, specific constraints on placement • Does the system effect the environment? • introduce imaging artifacts, constraints on physical location • Does the system have additional capabilities? • Optical visible light systems provide the video stream. Mountney et al. IEEE Signal Processing

  10. Visualization/Augmented Reality Provide visual information to plan, guide and asses the intervention. • Which method is appropriate: • direct volume rendering, surface rendering,re-slice/re-format + overlay, video stream + overlay (AR) • What is the computational complexity of the method? • introduce latency between action in physical world and its representation in the virtual one. • What is the effect of visualization on task performance? • Improves the perception of relationships between underlying anatomical structures and tools? Bullitt and Aylward TMI 2002 Fichtinger et al. Navab et al. Birkfellneret al.

  11. Robotic Devices Augment the physician’s abilities, both to perform interventions through small incisions, external or internal, and the ability to operate on smaller structures. • What is the impact of the system on the working environment? • Do parts of the procedure become more invasive? • Is there a loss of information? • tactile feedback Intuitive Surgical Mazor Robotics Riviere et al. ROBODOC

  12. Human Computer Interface This doesn’t cut it:

  13. Ethics • Animal Experiments ( IACUC - Institutional Animal Care And Use Committee). • Human Experiments (IRB - Institutional Review Board). • Patient Privacy (Health Insurance Portability and Accountability Act - HIPAA). • No Equivalent to Hippocratic Oath. Picture Courtesy Nation Library of Medicine (NIH)

  14. Regulatory Issues • CE, FDA Certifications. • Substantial Equivalence (501K)*: • A device is substantially equivalent if, in comparison to a predicate it: • has the same intended use as the predicate; and • has the same technological characteristics as the predicate; or • has the same intended use as the predicate; and • has different technological characteristics and the information submitted to FDA; • does not raise new questions of safety and effectiveness; and • demonstrates that the device is at least as safe and effective as the legally marketed device. *http://www.fda.gov/medicaldevices/deviceregulationandguidance/howtomarketyourdevice/premarketsubmissions/premarketnotification510k/default.htm

  15. All Done

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