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Image Gated Cardiac CT

LSU Medical Physics Seminar February 4, 2005 Given by Will Hill With advice from Dr. Kip Mathews. Image Gated Cardiac CT. A presentation of “Automatic Phase Determination for Retrospectively Gated Cardiac CT” from the December 2004 issue of Medical Physics. Introduction and Objectives.

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Image Gated Cardiac CT

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  1. LSU Medical Physics Seminar February 4, 2005 Given by Will Hill With advice from Dr. Kip Mathews Image Gated Cardiac CT A presentation of “Automatic Phase Determination for Retrospectively Gated Cardiac CT” from the December 2004 issue of Medical Physics

  2. Introduction and Objectives • What is Gated Cardiac Computed Tomography (CT) ? • Why bother? • What This Lecture will cover: • Basics of CT • Basics of cardiac timing • How this is done now • How the author did it • The author's results

  3. Literature Review • “Automatic Phase Determination for Retrospectively Gated Cardiac CT,” by R. Manzke, Th. Kohler, T. Neilsen, D. Hawkes and M. Grass, Medical Physics 31-12. • The Essential Physics of Medical Imaging, Lippncott Williams and Wilkins, Second Edition.

  4. The Basics of Computed Tomography • Who Likes Guessing Games?

  5. The Basics of Computed Tomography • How about this one?

  6. The Basics of Computed Tomography • Pretend you can't see through it.

  7. The Basics of Computed Tomography • and that you have x-rays and a counter.

  8. The Basics of Computed Tomography • Ta-dah!

  9. The Basics of Computed Tomography • So, that's how it works.

  10. Timing: Your Heart

  11. Timing: Your Heart

  12. Timing: EKG Methods • Triggered • Continuous

  13. Materials and Method • This Method: • Low Pitch Helical Cardiac Scan and ECG • Reconstruction of Low-Resolution 4D Volume • Automatic Motion Calculations • Reconstruction of High Resolution Volumes • Philips MX 8000 IDT 16-line CT system at University Hospital in Ulm, Germany and at the Carmel Hospital in Haifa, Israel.

  14. Similar Low Resolution Volumes

  15. Motion Determination

  16. Motion Map

  17. Results • Simulation Study • Three Patient's Data

  18. Conclusions • Computational Efficiency • similarity is easy • low resolution scans are used first • Automatically Reduces Motion Artifacts • patient and cycle variation are accounted for • different phases can be used for different heart segments by use of new motion maps

  19. The Future • Authors promise larger clinical trials.

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