Internal:PODM 3D

1. Read PODM3D paper✔
2. Install all PODM3D libraries✔
3. Compile PODM3D code✔
4. Restructure repository of PODM3D based on Software engineering standards✔
5. Execute PODM3D✔
6. Read Guaranteed Quality Tetrahedral Delaunay Meshing for Medical Images paper (Sect. 9)
7. Create an extra Rule which will be a user defined sizingFunction that gets a tetrahedron when all rules are met✔
   1. Create UML diagrams to understand the code and the Meshing Procedure in general✔
   2. Create a list of functions that need to be modified to implement the extra Rule ✔
   3. Modify the created list (Extra Rule sizing Function list) of functions✔
   4. Create a test sizing function to understand if modifications have been done correctly✔
      1. The test sizing function is

         bool checkSizingFunction(double coordinatesOfTetrahedron**)
         {
             double volume = volume(coordinatesOfTetrahedron);
             double* baryCenter = baryCenter(coordinatesOfTetrahedron)
             
             // if x axis <= 55 and volume of tetrahedron > 10
             if (baryCenter[0] <= 55 && volume > 10)
                return true;
             else
                return false
         }
         

      2. Podm Result of Cube image with Dimensions 110x110x110 and Sphere image with radius = 55, volume grading on and δ=10
         1. Cube:
         2. Sphere:
8. Implement Adaptivity in 3D inside sizingFunction using Christos Code:
   1. Implement Adaptivity in 3D✔
   2. Podm Result of Gagic Data image with volume grading on and δ=6, minimum Volume Size = 0.5, limit = 0.1
      1. 2D (Triangle): (Done by Christos)
      2. 3D (PODM):
   3. Handle cases with negative weight (rescale them)
   4. Test Adaptivity with extra images (cases) from Gagik Gavalian
   5. Create Sizing Function pointer
9. Create a video of the Meshing Process:
   1. Produce the meshes for the Meshing Process video and the next January report✔
   2. Create the video
10. Identify places in the code where δ varies with regards to background values
11. Test if multiple δ work using synthetically generated image data