Análise e Processamento de Imagem Biomédica

Mestrado em Informática na Saúde (pós-laboral)
6 ECTS; 1º Ano, 2º Semestre, 24,0 T + 24,0 PL + 12,0 OT



The main objectives are:
1 - To publicize the human visual perception system;
2 - Transmit the concepts associated with the formation process of digital images;
3 - The context of digital image processing (DIP) in the acquisition and analysis of medical images;
4 - Transmit the theoretical foundations of the DIP;
5 - To give students knowledge of the main techniques of acquisition and analysis of medical images;
6 - To give students the knowledge and ability to apply techniques for improving medical imaging;
Skills that pupils should acquire:
• Understanding the human visual perception system and the digital images formation process;
• Understand the theoretical foundations of the DIP;
• Describe and apply techniques for improving medical imaging;
• Mastering tools suitable for DIPs, namely the Matlab toolbox;
• Identify, formulate and solve specific problems in medical imaging.

Human Visual System (HVS) topics
• Elements of HVS
• Structure and image formation in the human eye;
General concepts
• Digital image definition
• Representation and image modeling
• Enhancement, restoration and reconstruction;
Nature of biomedical images
• Radiography
• Computed Tomography
• Magnetic Resonance
• Nuclear Medical Image
• Ultrasonic Image;
Digital image processing system (DIPS)
• DIPS elements
• Medical imaging acquisition;
Digital image fundamentals
• Sampling and quantification
• Basic relations between pixels
• Geometry
• Local and global operations
• Histogram;
Artifacts removal
• Artifact characterization
• Filtering
• Morphological operations;
Improved image
• Manipulation of the histogram
• Convolution with mask operators
• Image Enhancement;
Detection of lines and edges
• Detection of lines, contours and corners;
Region of interest detection
• Thresholding and binarization
• Targeting

Evaluation Methodology
The evaluation method consists of making a written test and design and implementation of an application for analysis and / or image processing, where both components have a weight rating of 50% of the final classification. To obtain approval for the course the student must achieve a final grade, averaged from the two components of assessment, equal to or greater than 9.5.

- Gonzalez, R. e Woods, R. (2008). Digital Image Processing. (Vol. 1). (pp. 1---). USA: Prentice Hall
- Rangayan, R. (2005). Biomedical Image Analysis. (Vol. 1). (pp. 1---). New York: CRC Press
- Dhawan, A. (2011). Medical Image Analysis. (Vol. 1). (pp. 1---). USA: IEEE Press

Method of interaction
This course is organized around theoretical sessions and practical sessions. In the theoretical sessions are taught the syllabus provided. The practical sessions are taught in the computer room where students will be able to develop medical image processing applications, using the Matlab software. Are also provided tutorial orientation sessions, using the IPT e-learning platform as a tool for disseminating information, answering questions, posting handouts, fact sheets, exercise, etc.

Software used in class
MATLAB - The Language of Technical Computing