Processing and Analysis of Threedimensional

Recommended Prerequisites

Signal Processing.

Teaching Methods

The teaching methodology focuses on tutoring the student to better adjust his research techniques in the field of his work. The student presents the results of the work by seminars as reports on the activities.

Learning Outcomes

The key objective is to provide basic concepts and skills for the analysis of 3D data obtained from temporal sequences of 2D data, focusing on the processing of volumetric data and biological signals, addressing the prevailing techniques and methodologies.

This knowledge can be useful for people working on medical imaging and processing of 3D images.

Work Placement(s)

No

Syllabus

Digital volumetric images correspond to three-dimensional arrays of images, corresponding to stacks of two-dimensional signals produced, for instance, by a computerized tomography device. In this course the aim is to introduce techniques for the manipulation, processing and analysis of these types of images.

Due to the advanced nature of the course, the syllabus can be adapted to the specific interests and previous knowledge of the students, but as a guideline the following target syllabus is used:

- 3D BINARY IMAGES:
   Basics. Features of 3D Components. Operations on 3D Binary Images.
- 3D GREY LEVEL IMAGES.
   Images Enhancement. Geometric Transformations of Voxel Images. Surface Segmentation. Region Segmentation.
- MODELLING AND REGISTRATION OF OBJECTS.
   Surface Tiling. Surface Reconstruction. Registration.

Head Lecturer(s)

Jorge Nuno de Almeida e Sousa Almada Lobo

Assessment Methods

Assessment
Research work: 50.0%
Synthesis work: 50.0%

Bibliography

G. Lohmann, Volumetric Image Analysis, John Wiley & Sons, ISBN 0 471 96785 8