Module Title:   Medical Instrumentation and Imaging

Module Credit:   10

Module Code:   ENG3020M

Academic Year:   2015/6

Teaching Period:   Semester 2

Module Occurrence:   A

Module Level:   FHEQ Level 6

Module Type:   Standard module

Provider:   Engineering

Related Department/Subject Area:   Engineering: Mathematics and Computing (not in use)

Principal Co-ordinator:   Dr P Olley

Additional Tutor(s):   -

Prerequisite(s):   None

Corequisite(s):   None

Aims:
To acquire a systematic and advanced knowledge of the methods of modern medical instrumentation, including image processing techniques.

Learning Teaching & Assessment Strategy:
The scientific basis of the subject is established by lectures, supported by direct reading for specific areas. Demonstration of techniques of Fourier analysis and image processing using course-specific software takes place during tutorial sessions.

Lectures:   18.00          Directed Study:   74.00           
Seminars/Tutorials:   6.00          Other:   0.00           
Laboratory/Practical:   0.00          Formal Exams:   2.00          Total:   100.00

On successful completion of this module you will be able to...

critically evaluate instrumentation in medical engineering, and how this is used to generate and process images;

On successful completion of this module you will be able to...

have skills in the use of hardware and software to generate and process images, problem-solving, real-time interfacing;

On successful completion of this module you will be able to...

have widely applicable skills in data presentation and interpretation, scientific method, and systematic problem solving.

  Examination - closed book 2.00 100%
 
  Examination - closed book

Outline Syllabus:
* Medical Instrumentation: Sensors for biological signals, generic and specialised sensors, digital displays and computer based patient monitors. Noise reduction by hardware and introduction to signal processing. Biopotentials, ECG and EEG. Radioactive hazards and levels, x-ray radiography. Radioactive tracer scanning techniques; gamma camera, and PET scanners. Ultrasound scanning and beam-forming methods. Nuclear magnetic resonance and MRI techniques. K-space MRI and real-time methods. Comparison of resolution, time, cost and applicability of techniques.
* Image Processing: Digital images and signals, image coding and compression, image analysis and enhancement. The Fast Fourier Transform and applications to image and signal processing; digital filtering. Convolution and the Convolution Theorem: Image smoothing, image sharpening, edge detection, artefact removal. Filtering in frequency and spatial domains, finite impulse response. Comparison of filter kernels and equivalences. Motion estimation and applications.

Version No:  2