University of Birmingham > Talks@bham > Medical Imaging Research Seminars > Regularisations in image processing and NIRFAST.

Regularisations in image processing and NIRFAST.

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact Matthaios Doulgerakis.

Inverse problem in NIRFAST is a highly under-determined ill-posed mathematical problem. It aims to reconstruct certain optical properties on each finite element node from a small amount of boundary measurements. It is hard to determine a unique solution for this inverse problem. Utilising regularisations is therefore imperative to alleviate this difficulty and help find a desirable solution for such ill-posed mathematical problem. This talk will go through my MSc research on regularisations in image processing and show some detailed comparison on some representative regularisations. Discretisation process based on discrete finite difference method (FDM) and numerical implementation of alternating direction method of multipliers (ADMM) algorithm are also briefly introduced. Whether or not these regularisations can be applied to the inverse problem in NIRFAST and the possible solutions will be discussed finally.

This talk is part of the Medical Imaging Research Seminars series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

 

Talks@bham, University of Birmingham. Contact Us | Help and Documentation | Privacy and Publicity.
talks@bham is based on talks.cam from the University of Cambridge.