MEng Electronic Engineering

Year of entry: 2021

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Course unit details:
Multi-Sensor Signal Processing & Imaging

Unit code EEEN40175
Credit rating 15
Unit level Level 4
Teaching period(s) Semester 1
Offered by Department of Electrical & Electronic Engineering
Available as a free choice unit? No

Overview

  • Introduction to Tomography Science and Engineering. (1 general, 1 Industrial ,1 medical, 1 security) (4)
  • Hard-field tomography: x-ray, gamma-ray, optical and terahertz tomography. Sensing principles. Introduction to algorithms for hard-field reconstruction. Software design. Hardware design: sources, detectors and measurement "train". State-of-the-art in hard-field process tomography. Multimodality approach. (6)
  • Soft-field tomography: electrical impedance and capacitance tomography, electromagnetic tomography. Sensing techniques. Hardware design: sensors, measuring circuits and calibration. Soft-field reconstruction and software design, applications. State-of-the-art in soft-field process tomography. (4).

  • Magnetic Resonance Imaging: Introduction and principles; technology and systems; data processing, applications. (2)

Aims

This course unit detail provides the framework for delivery in 2020/21 and may be subject to change due to any additional Covid-19 impact.  Please see Blackboard / course unit related emails for any further updates.

The course unit aims to:

  • Introduce students to theoretical and practical fundamentals of tomographic engineering: principles, measurements, image reconstruction and system design.
  • Introduce students to the various aspects of tomography engineering applications: medical, industrial, security.
  • Enable students to undertake simple designs of sensing and tomography imaging systems.
  • Prepare students for Research and Development (R&D), academic or other employment in this area

Learning outcomes

Students will be able to:

Knowledge and understanding

  • Recognise the motivation for tomography imaging
  • Define the inverse problem in a particular imaging scenario
  • Understand the physical foundations and engineering principles of instrumentation for hard-field, soft field and MRI imaging

Intellectual skills

  • Critically analyse the industrial needs and match them with existing technology
  • Identify the needs for development of new technology

Practical skills

  • Suggest the conceptual design of simple tomography systems

Transferable skills and personal qualities

  • Benefit from understanding the basic drivers and developments in industrial instrumentation systems
  • Employ synergy between several fields

Assessment methods

Unseen Written Examination

Two questions (1 hard-field, 1 soft-field + MRI), answer all questions

Length of examination: 1 hour 30 minuets

Calculators are permitted in this examination

The maximum mark for the unseen written examination forms 40% of the total unit assessment

Course Work- Laboratories

The number of laboratories: 3

The length of each laboratory: 3 hours

Laboratories are assessed: in-lab

The laboratories are marked with a pass or fail

 

Course Work Not Based On Laboratory Attendance

Description of course work: Marked design assignment

Submission date for the above: Second Wednesday of the unit

The maximum mark for the coursework forms 60% of the total unit assessment

Study hours

Scheduled activity hours
Lectures 16
Practical classes & workshops 9
Tutorials 12
Independent study hours
Independent study 113

Teaching staff

Staff member Role
Krikor Ozanyan Unit coordinator
Wuliang Yin Unit coordinator

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