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IDL-Based Medical Examples and Applications

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IDL-Based Medical Examples and Applications

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    3. IDL-based Medical Applications (1 of 2)

    4. IDL-based Medical Applications (2 of 2)

    6. Emory Cardiac ToolboxTM

    7. Wackers-Liu CQ

    8. Multi-Modality Co-registration

    9. Multi-Modality Co-registration

    10. Multi-Modality Co-registration

    11. MIM: Medical Image Merge

    12. Image Segmentation

    13. Breast MRI

    14. Lung Volume Measurement

    15. Oncology Radionuclide Imaging and Dosimetry

    16. Oncology Radionuclide Imaging and Dosimetry

    17. Oncology Radionuclide Imaging and Dosimetry

    18. MUGA

    19. SPECT Reconstruction

    20. Iterative Reconstruction OSEM (10 subsets)

    21. Iterative Reconstruction OSEM (10 subsets) vs. Filtered Backprojection

    22. DIGIRAD - Proton Radiotherapy

    23. Rheumatoid Arthritis

    24. Renal

    25. Pharmacokinetic Parameter Assessment

    26. Talairach and Measuring Tool

    27. Dosimetry Planning for Intraoperative Radiotherapy

    28. Dipole Tool: MRI + EEG

    29. MRI + PET + EEG

    31. CT Reconstruction

    32. Animation: Gated Blood Pool

    33. Beating Heart The heart geometry is generated from triangulating an array of points into a series of quad polygons. Each step in the sequence of the beating heart consists of 3 parts: Inner Surface, Outer Surface, and Bottom (connecting) surface. The colors are determined using a color lookup value from a 3D array of perfusion values stored for every point. The object geometry representing the heart is manipulated based on the data for each of the above steps to show the shape of the heart through one heartbeat cycle. The heart geometry is generated from triangulating an array of points into a series of quad polygons. Each step in the sequence of the beating heart consists of 3 parts: Inner Surface, Outer Surface, and Bottom (connecting) surface. The colors are determined using a color lookup value from a 3D array of perfusion values stored for every point. The object geometry representing the heart is manipulated based on the data for each of the above steps to show the shape of the heart through one heartbeat cycle.

    34. Dual Volume PET MRI This program shows two separate visualizations using IDL's volume rendering capabilities. Dual Volume PET MRI visualization The Dual Volume PET MRI visualization includes both registered positron emission tomography (PET) and magnetic resonance imaging (MRI) scans of a human brain. The demonstration modulates the values of one of the scans by the values of the other scan. The resolution of the PET and MRI brain data is 1mm in the X, Y and Z dimensions. The PET and MRI data sets were provided by Dr. Hanna Damasio and Dr. Thomas Grabowski, Department of Neurology, Division of Behavioral and Neurology and Cognitive Neuroscience, University of Iowa College of Medicine. Electron Probability Density visualization The Electron Probability Density visualization is a quantum mechanics calculation of a one-electron orbital of a four-iron, eight-sulfur cluster found in many natural proteins. The data is the squared magnitude of the wave-function `psi' at each point. This is the probability density of the electron at that point. The atoms are arranged in a cube of alternating iron and sulfur atoms, with sulfur and methyl (CH3) groups on the iron corners. This orbital, the highest occupied molecular orbital [HOMO], has high intensity joining two irons across a face diagonal. It is level 28a or level number 213. The quantum mechanics data is from Louis Noodleman and David Case, Scripps Clinic, La Jolla, California. This program shows two separate visualizations using IDL's volume rendering capabilities. Dual Volume PET MRI visualization The Dual Volume PET MRI visualization includes both registered positron emission tomography (PET) and magnetic resonance imaging (MRI) scans of a human brain. The demonstration modulates the values of one of the scans by the values of the other scan. The resolution of the PET and MRI brain data is 1mm in the X, Y and Z dimensions. The PET and MRI data sets were provided by Dr. Hanna Damasio and Dr. Thomas Grabowski, Department of Neurology, Division of Behavioral and Neurology and Cognitive Neuroscience, University of Iowa College of Medicine. Electron Probability Density visualization The Electron Probability Density visualization is a quantum mechanics calculation of a one-electron orbital of a four-iron, eight-sulfur cluster found in many natural proteins. The data is the squared magnitude of the wave-function `psi' at each point. This is the probability density of the electron at that point. The atoms are arranged in a cube of alternating iron and sulfur atoms, with sulfur and methyl (CH3) groups on the iron corners. This orbital, the highest occupied molecular orbital [HOMO], has high intensity joining two irons across a face diagonal. It is level 28a or level number 213. The quantum mechanics data is from Louis Noodleman and David Case, Scripps Clinic, La Jolla, California.

    35. Image Processing: Fourier Filter

    36. Image Processing: Histogram

    37. Slicer: Subtract

    38. Slicer: 3D Profile

    39. ROI

    41. Region Growing

    42. Volumes

    43. XVolume2

    44. Ultrasound

    45. CT Analysis: MPR

    46. Mesh Decimation

    47. Xcontour 3D

    48. Heart Reconstruction

    49. Image Arbitrary Profiler

    50. Visible Human CD (male and female)

    51. Working with the Visible Human CD

    52. Working with the Visible Human CD

    53. Questions?

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