...

...

Author: Brandon Kovarovic, Cornell University

Problem Specification
1. Pre-Analysis & Start-Up
2. Geometry
3. Mesh
4. Setup (Physics)
5. Solution
6. Results
7. Verification & Validation

Pre-Analysis & Start-Up

Image Processing
Attached is a set of original CT scan images, a set of edited binary images and the MATLAB code used to create the edited images. For simplicity using the edited set of images to proceed with the tutorial will be sufficient. Below is an explanation of how and why the images were edited.
matlab_files.rar
Binary Images.rar

...

Binary images- Since we want to extract the cavity and are not concerned with the different tissues scanned, it is beneficial to create binary images. These contain only two pixel values, black for air and white for any tissue. Since the features in the nose have small sizes compared to the pixel size, like the septum has a thickness of about 0.8 mm, this creation of binary images will ensure that the cavity geometry stays separated. The binary images also help ease geometry extraction process in the next step.

Go to Step 2 - : Geometry

Go to all FLUENT Learning Modules