Go to:
Logótipo
You are here: Start > MVCOMP04

Instrumentation and processing for biomedical applications

Code: MVCOMP04     Acronym: IPAB

Keywords
Classification Keyword
CNAEF Engineering and related techniques

Instance: 2022/2023 - 1S

Active? Yes
Responsible unit: Department of Electrical and Computer Engineering
Course/CS Responsible: Master in Computer Vision

Cycles of Study/Courses

Acronym No. of Students Study Plan Curricular Years Credits UCN Credits ECTS Contact hours Total Time
MVCOMP 3 Syllabus 1 - 6 42 162

Teaching language

English

Objectives

Understand the basic concepts related to the different modalities of biomedical image and the physical factors that influence their properties.

To know the statistical techniques currently used for the validation of biomedical applications.

Learning outcomes and competences

Ability to apply different techniques of processing and analysis in biomedical imaging applications.
Knowledge of techniques of image registration and its applications in biomedical image.

Ability to work in team, organization and planning.

Working method

Presencial

Program

Basic concepts of biomedical images. Modalities of biomedical image.
X-ray production; Generators and tubes.
Radiology based on film. Mammography. Fluoroscopy. Digital radiology.
Computed tomography. Nuclear magnetic resonance. Ultrasound.
Other imaging modalities. Limitations and complementarity of the different modalities.
Validation techniques in biomedical applications. Biomedical image processing and analysis.
Registration of biomedical images. Biomedical imaging applications.

Mandatory literature

Jerrold T. Bushberg; The essential physics of medical imaging. ISBN: 978-0-683-30118-2

Teaching methods and learning activities

The teaching-learning process will be based in a theoretical-practical. There will be a presentation and discussion of the course topics, and resolution of exercises using learning based on the analysis and resolution of practical cases. Additionally, individual or group projects will be developed, where the studied computer vision methods will be applied. Visits to clinical partners will be promoted to observe the use of some medical equipment and promote a discussion with the technical operators.

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Designation Weight (%)
Teste 40,00
Trabalho escrito 60,00
Total: 100,00

Amount of time allocated to each course unit

Designation Time (hours)
Estudo autónomo 60,00
Frequência das aulas 42,00
Trabalho escrito 60,00
Total: 162,00

Eligibility for exams

.

Calculation formula of final grade

The evaluation consists of the students’ results in the projects (accounting for 60% of the final grade) and in a written exam (accounting for 40% of the final grade).
Recommend this page Top
Copyright 1996-2025 © Faculdade de Engenharia da Universidade do Porto  I Terms and Conditions  I Accessibility  I Index A-Z  I Guest Book
Page generated on: 2025-11-28 at 06:27:25 | Acceptable Use Policy | Data Protection Policy | Complaint Portal