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Project Report 3D Lung Model & CT Simulator

Project Report 3D Lung Model & CT Simulator. Under Supervision of~ Prof.Benjamin B. Kimia By: Rahul Gautam. How this began…. The NIH Proposal 2003~ Model-based Tomographic Reconstruction of Vessel Networks. Aims of the Proposal~.

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Project Report 3D Lung Model & CT Simulator

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  1. Project Report3D Lung Model & CT Simulator Under Supervision of~ Prof.Benjamin B. Kimia By: Rahul Gautam

  2. How this began… • The NIH Proposal 2003~ Model-based Tomographic Reconstruction of Vessel Networks

  3. Aims of the Proposal~ • Develop algorithms for the direct tomographic reconstruction of pulmonary vessel networks based on a 3-d representation of vessels and junctions • Demonstrate the accuracy of the reconstructed network for x-ray CT using manual segmentation as ground truth.

  4. Preparing the way~ • A search for good 3D Lung model... Options? ....Many Chose… One of the best available…

  5. Our Choice… ‘A three-dimensional model of the human airway tree’ By~ Prof. Hiroko Kitaoka, Ryuji Takaki, and Béla Suki

  6. The Reason… • This algorithm generates geometric data of a three-dimensional human airway tree whose morphometric characteristics are in good agreement with those reported in the literature

  7. The basic Principle • generation of the dimensions and directionality of two daughter branches is governed by the properties of the parent branch and the region the parent supplies • The terminal branches of the tree are homogeneously arranged within the organ

  8. The Rules • The algorithm is composed of nine basic rules and four complementary rules.

  9. Rules… • ~ Branching is dichotomous. • ~ The parent branch and its two daughter branches lie in the same plane, called the branching plane. • ~ The volumetric flow rate through the parent branch is conserved after branching; that is, the sum of the flows in the daughter branches is equal to the flow in the parent branch.

  10. Rules…Continued • ~The region supplied by a parent branch is divided into two daughter regions by a plane called the "space-dividing plane." The space-dividing plane is perpendicular to the branching plane and extends out to the border of the parent region • ~ The flow-dividing ratio is set to be equal to the volume-dividing ratio, defined as the ratio of the volume of the smaller daughter region to that of its parent.

  11. Rules … few more • ~The length of each daughter branch is assigned a value that is three times its diameter • If branching continues in a given direction, the daughter branch becomes the new parent branch, and the associated branching plane is set perpendicular to the branching plane of the old parent

  12. Just a few more… • The branching process in a given direction stops whenever the flow rate becomes less than a specified threshold or the branch extends beyond its own region. THAT’S IT

  13. So the first step… • Applied the algorithm to generate 3D Lung data

  14. The Result…

  15. Oops…A Problem • Rough edges , abrupt at branching points…. Unrealistic if used to model a lung

  16. The Solution… Generate a Volumetric model,

  17. …apply Gaussian Smoothing to it, Use Marching cubes to extract surface..

  18. The Outcome…

  19. Breaking News… • Brown Eyes now has… 3D Lung Model Generator…

  20. Mission 3D Lung Model… …Accomplished

  21. The NextStep… ...Mission CT • To obtain a CT Simulator… that performs CT scan on virtual 3D models and generate projection data

  22. CT…????

  23. (From Siemens) (From Picker) CT~ Computed Tomography

  24. CT is ~ the general process of transmitting X-rays and creating cross-sectional or tomographic images from projections of the object at multiple angles and using a computer for image reconstruction

  25. Projection measurement…

  26. Exponential attenuation of X-rays Ni No m Ni: input intensity of X-ray No: output intensity of X-ray m: linear X-ray attenuation x Ni No    x Attenuatedmore X-rays

  27. Ray-Sum of X-ray Attenuation Ni No k x Ray-sum Line integral

  28. Projection & Sinogram Sinogram:All projections Projection:All ray-sums in a direction  y P(t) t p  x f(x,y) t X-rays Sinogram

  29. Scanning modes

  30. First Generation One detector Translation-rotation Parallel-beam

  31. Second Generation Multiple detectors Translation-rotation Small fan-beam

  32. Third Generation Multiple detectors Translation-rotation Large fan-beam

  33. Fourth Generation Detector ring Source-rotation Large fan-beam

  34. Spiral/Helical Scanning • Simultaneous • Source rotation • Table translation • Data acquisition

  35. Cone-Beam Geometry

  36. Back to the Problem… ..Mission CT

  37. Our Requirements... • Cone Beam CT • Should scan 3D phantom objects • Close to a real CT scanner

  38. Here we go again…

  39. Event: .. Birth of CTSim • Specifications Resolution ….Variable Magnification ….Variable Spot size detector…. As desired Spot size source…..point No beam hardening No Quantum noise

  40. The Outcome….

  41. The Result… Too good to be Real

  42. Keeping it Real…. Accounting for factors like… ~Photon statistics/quantum noise ~Spot size ~Beam Hardening

  43. Quantum noise

  44. The Outcome… • Background Noise Comparison…

  45. Spot Size…Source

  46. Outcome…

  47. Sinograms…

  48. Finally what we have… • CTSim has found its new home in Brown eyes

  49. CTSim In action…

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