Courses and Training

The Manchester X-ray Imaging Facility (MXIF) runs regular courses on tomography and 3D data images processing at the Henery Moseley X-ray Imaging Facility at the University of Manchester. Dates of the next courses are listed below. To register, please email: Noriko.Griffiths@manchester.ac.uk

Introduction to X-ray CT and Image Processing with Avizo (one-day course with two parts)

Introduction to X-ray CT (part 1) This is an introductory course to laboratory X-ray Computed Tomography and is designed specifically to new users. The course content lasts approximately two hours and covers an overview of:
  • The principles of X-ray CT
  • Applications of X-ray CT
  • Geometric and optical enhanced X-ray CT systems
  • Principles of X-ray CT image reconstruction
  • Image artefacts associated with X-ray CT
Introduction to image visualisation using Avizo (part 2)

Expanding upon how data is collected in course 1, this course teaches the user how to process X-ray CT data using the Avizo visualisation software. The course uses real X-ray CT data that will highlight the true problems faced when analysing large volumes. Users will be taught a work flow for analysing data in a methodical manner. The course content lasts approximately four hours and covers:

  • Introduction to Avizo and visualisation software
  • Methods for imputing data
  • Initial data inspection
  • Data cropping and editing
  • Application of image filters to aid data processing
  • Global (manual) segmentation
  • Data visualisation and recording
  • Materials analysis and measurements

Advanced segmentation and quantification using Avizo (one-day course with two parts)

This course is usually run as a follow-on module from our introduction course. Advanced segmentation (part 1)

Building upon the basic segmentation methods in course two, this course introduces the user to the concepts of global and local thresholding methods, as well as the advantages of automated segmentation. The course uses Aviso as a platform for the following segmentation techniques and self-study time:

  • Global thresholding methods
  • Hysteresis thresholding
  • Watershed segmentation techniques
  • Local (edge detection) thresholding techniques
Quantification in Avizo (part 2)

The course covers the current best practice methods in X-ray CT and the appropriate quantification methods. The course focus is on three dimensional analysis in Avizo and data partitioning. The second part of the course focuses on the visualisation of analysed results and production of videos to highlight information. The third and final section of the course then considers cursory look at measurement errors and then an in-depth look at the causes of data variation due to instrumentation, and how the later can be potentially be corrected for by advanced segmentation techniques.

Course dates:

May 2017
  • 25 May: Introduction to X-ray CT and Image Processing with Avizo
June 2017
  • 13 June: Introduction to X-ray CT and Image Processing with Avizo
  • 14 June: Advanced segmentation and quantification using Avizo
Future dates will be announced in due course.

Additional workshops and courses

The HMXIF regularly organises workshops on other aspects of CT and image processing, such as:
  • Reconstruction of X-ray CT data
  • Accuracy of X-ray CT
  • Image based meshing
We are also open to collaborative workshops that include a practical aspect of X-ray CT and would benefit from being organised at the HMXIF at the University of Manchester.
For interests in these and other topics, please email: Noriko.Griffiths@manchester.ac.uk

Instrument-based operational X-ray CT training

The HMXIF provides instrument training for all academic users. For every new beam time application, a support scientist will be allocated, who will help with the final planning of the experiment. Detailed training is given on the acquisition of tomography data on each piece of equipment that is used. This training is usually provided at the start of the allocated beam time, so it can be modified to match the specific samples and methods being used. The user support scientist will be on hand to assist and answer questions for the duration of the experiment.

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