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3D Image processing. Report and Power Point presentation that describes the basics of 3D medical images

The videos presenting MRI surface thinning applications:

The purpose of this report is to provide a reader basic guidance in performing 3D discretized imaging so that introductory pieces of information about medical imaging could be understood. It’s the result of thorough study of Toriwaki’s and Yosida’s publication, heavily relies on it, and is auxiliary explanatory text for the talk I was presenting at my University. There is a review of this publication at the end of the review.

There has been substantial growth of importance of image-based reasoning over last decade. Numerous image-based techniques have been deployed over last years. Magnetic resonance imaging has switched to discretized digital version and Computer Tomography are the only two applications that heavily use 3D image processing. There has been high demand for fast, real-time image processing with feature extraction that would allow for further device development and convergence like binding the computer-based diagnosis with CT (Computer Tomography) device set up and automation. Due to the limitations the modern computers provide (limited average CPU speed, and limited RAM amount) a vast collection of data structures and algorithms should have been deployed. This report presents data structure for storing the geometry of 3D image and surface-thinning algorithm that is used for computing intersections on the 3D image that has been proposed in Toriwaki’s and Yoshida’s publication.

Contents of report

1.    Purpose of the report

2.    The spectral and colour-based representation of an image.

3.    Overview of 3D imaging.

o     Voxel representation.

o     3D scene and 3D object

o     Stereoscopic

o     2D dynamic

4.    3D Image discretization problems.

Discretization process.

Idea of neighbourhood in graph-based structure.

Mathematical operations on 3D images.

5.    Image operator functions.

6.    Resemblance of 3D to 2D image processing algorithms.

7.    Voxel Structure and data structures.

8.    Magnetic Resonance Imaging.

9.    Algorithm of binary image processing – surface thinning.

a.    Short description.

b.    Application.

10.      Bibliography review

11.      List of appendices

12.      Bibliography.

Report

 

Full text of report is available here: 3D Image processing – report

3D Image processing.Surface thinning Power Point Presentation

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