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Department of Engineering
Dean:	Dr. Ármann Gylfason
Email:	ru@ru.is
Website:	http://www.ru.is/tvd
Teachers	View

MSc in Biomedical Engineering
Semesters:	4
Years:	2
ETCS:	120
About major	Í heilbrigðisverkfræði er verkfræðilegum aðferðum beitt til að fást við líffræðileg og læknisfræðileg viðfangsefni, s.s. uppgötvun og þróun nýrrar tækni og aðferða við greiningu og meðferð sjúkdóma. Hér sameinast ólíkar greinar eins og stærðfræði og eðlisfræði við sameindalíffræði og lífeðlisfræði í leit að lausnum heilsufarslegra viðfangsefna. MSc námið er mótað að kröfum Verkfræðingafélags Íslands um fullnaðarmenntun í verkfræði.
Learning Outcomes	View
Education cycle	2
Degree title	MSc in Biomedical Engineering

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	Mandatory course on major		Teaching language
	Optional course on major		Prerequisites for course

Vorönn/Spring 2024

Energy Financial Assessment

SE-833-FA2

ECTS 6

Engineering Optimization

T-423-ENOP

ECTS 6

Sleep

T-424-SLEE

ECTS 6

Decision Analysis for Management

T-603-AKVA

ECTS 6

Internship in Engineering I

T-706-INT1

ECTS 6

Internship in Engineering II

T-706-INT2

ECTS 6

Systems Biology

T-765-SYBI

ECTS 8

Project Management and Strategic Planning

T-803-VERK

ECTS 8

Derivatives and risk management

T-814-DERI

ECTS 8

Creating a Complete Business Plan for a Technical Idea - Entrepreneurship and the Innovation Process

T-814-INNO

ECTS 8

Tissue Engineering and Biomaterials

T-828-TISS

ECTS 8

Graduate Research Opportunities I

T-829-GRO1

ECTS 6

Finite Element Analysis in Engineering

T-844-FEMM

ECTS 8

Digital Transformation of Medical Imaging

T-845-DTMI

ECTS 6

Neural Engineering

T-863-NEUR

ECTS 8

Wind Power

T-863-WIND

ECTS 8

Power System Operation

T-867-POSY

ECTS 8

Stability and Control in Electric Power Systems

T-867-STAB

ECTS 8

Protection Philosophy for Smart-Grids

T-868-PROT

ECTS 8

MSc Thesis

T-899-MEIS

ECTS 30

MSc Thesis

T-900-MEIS

ECTS 30

MSc thesis II

T-901-MEI2

ECTS 30

Entrepreneurial Finance

V-733-ENTR

ECTS 7,5

Entrepreneurship and Starting New Ventures

X-204-STOF

ECTS 6

Exchange Studies

X-699-EXCH

ECTS 30

Sumar/Summer 2024

Graduate Research Opportunities I

T-829-GRO1

ECTS 6

Exchange Studies

X-699-EXCH

ECTS 30

Haustönn/Fall 2024

Energy Economics

SE-805-EC1

ECTS 6

Special Topics in Energy III

SE-806-STE

ECTS 6

Biomechanics

T-561-LIFF

ECTS 6

Embedded System Programming

T-738-EMBE

ECTS 8

Simulation II

T-806-SIMU

ECTS 6

Quality Management

T-807-QUAL

ECTS 6

Applying Models in Management

T-808-NOLI

ECTS 8

Data Mining and Machine Learning

T-809-DATA

ECTS 8

Optimization Methods

T-810-OPTI

ECTS 8

Applied Probability

T-811-PROB

ECTS 8

Financial Engineering of the Firm

T-814-FINA

ECTS 8

Managing Research and Development - Methods and Models

T-814-PROD

ECTS 8

Advanced Biomechanics II

T-828-BIOM

ECTS 8

Medical Modelling and Imaging

T-862-IMAG

ECTS 8

Year

1. year

Semester

Fall 2024

Level of course

N/A

Type of course

Core

Prerequisites

No prerequisites.

Schedule

No schedule found.

Lecturer

Þórður Helgason

Content

Level of course: 5. Second cycle, intermediate.
Type of course: Core for MSc Biomedical Engineering.
Prerequisites: BSc degree in biomedical engineering. That means adequate coverage of mathematics, physics including modern physics and physiology. Students should also have knowledge in electrical theory, electronics, automatic control theory, computers and signal processing.
The main theme in imaging is tomography as realised in computer tomography (CT), magnetic resonance imaging (MR), positron emitting tomography (PET) and ultrasound imaging. Emphasis is on sensors, methods and algorithms for image reconstruction, and the architecture of the devices.Students choose two projects they deliver towards the end of the semester. One project is in the field of imaging and the other in modelling. The former will be delivered by a report, lecture slides and a 35 minutes lecture with 10 minutes for questions and discussion. This material is a part of the course for all participating students. Reports and presentations are made accessible for students.The latter is a modelling project and deliverable is a short report. The goal is that the student acquires a thorough understanding of his own theme and a good understanding of the themes of his fellow students. In the imaging the assignment can be in the frame of positron emitting tomography (PET) or in ultrasound imaging technology. Every student takes one aspect of the imaging chain and in summary the reports should give a good understanding of PET and ultrasound imaging. The later assignment is in the frame of modelling. Its purpose is to train FEA methods and to demonstrate how going from CT/MRI scans to a 3D model to a finite element model can be achieved. Ultrasound current source density imaging is an emerging technology, technology in development. This is an attempt to investigate the future. The fundamental physics of the method are covered, main properties and the need for technological developments. Then the possibilities in diagnostic and therapy monitoring will be discussed. Loadstar of the coverage is how physiology, physics, mathematics and electronic are applied to define the system and used for its design. Prerequisite of the course is a BS degree in biomedical engineering. That means adequate coverage of mathematics, physics including modern physics and physiology. Then students should have knowledge in electrical theory, electronics, automatic control theory, computers and signal processing.

Learning outcome - Objectives

At the end of the course the student should...

.. have a thorough understanding of the tomography image reconstruction methods.
.. know the functional principle of computer tomography devices.
.. know the functional principle of magnetic resonance imaging devices.
.. have a thorough understanding of the functional principle of positron emitting tomography devices (PET), running cost and clinical advantage.
.. have a thorough understanding of the functional principle of ultrasound imaging, running cost and clinical advantage.
.. know to a thorrough dept the technique of own choose and corresponding devices in the frame of PET or ultrasound imaging.
.. have exercised the assembly of a CT device
.. be able to choose components and assemble a simple computer tomographic device
.. have exercised the use of image reconstruction algorithms
.. be able to estimate the quality of slice images and see ways to improve them
.. have exercise in estimating technical properties of tomographic images.
.. know the basics of ultrasound current source imaging, be able to estimate what technology is necessary for its realisation and its diagnostic and monitoring possibilities.
Know the procedures of taking imaging data and convert into 3D model

Know how material properties of bone can be extracted from a calibrated CT image

Course assessment

Weekly exercises, assignments, practical exercise and oral exam.

Reading material

No reading material found.

Teaching and learning activities

Lectures, problem-oriented classes, projects, and visits.

Language of instruction

English

Neuro Science and Technology

T-862-NEUR

ECTS 8