CMIC Logo
Feed icon

News

ismrm-fellowships

ISMRM Fellowships 2017

Congratulations to Danny Alexander and Andrada Ianus on receiving prestigeous ISMRM fellowships. More...

Published: Apr 26, 2017 11:05:24 AM

Prostate work of Yipeng Hu et al on the cover of IEEE Transactions on Biomedical Engineering - April 2017

Congratulations to Yipeng Hu, Dean Barratt et al for their work on prostate biopsies which is on the cover of IEEE Transactions on Biomedical Engineering.
More...

Published: Apr 10, 2017 1:55:35 PM

Echoes Around the Home.

Echoes Around The Home is a cross disciplinary project conceived and led by Dr Nicholas Firth (UCL Computer Science), working with social scientists Prof. Mary Pat Sullivan (Nipissing University Applied and Professional Studies) and Emma Harding (UCL Institute of Neurology), neuropsychologist Prof. Sebastian Crutch (UCL Institute of Neurology) and computer scientist Prof. Daniel Alexander (UCL Computer Science). This project has been funded by a Social Science Plus+ award from The Collaborative Social Science Domain UCL and will begin installing Echo’s in late March. More...

Published: Feb 6, 2017 3:51:52 PM

Vacancies at CMIC

PhD studentship on modelling and compensating for respiratory motion during MR imaging

Supervisors: Jamie McClelland, David Atkinson, Ricky Sharma

In recent years there have been a number of new and exciting MR imaging techniques developed. These include methods that can produce highly detailed scans of the patient’s anatomy, as well as methods that can probe the microstructure of tumours and other tissue non-invasively, such as VERDICT-MRI being developed at UCL. These methods are already showing great promise for diagnosing, staging, and planning treatments for some cancer sites, and have the potential to provide bio-markers to monitor disease progression and the effectiveness of treatment. However, their use in organs that move with respiration has so far been limited, as the motion can degrade the scans and cause artefacts, and reduces the clinically useful information that can be derived from them.

Computational models of the respiratory motion can potentially be used to compensate for the motion during the reconstruction of the MR images. However, generating sufficiently accurate models of the motion has so far proved challenging, as previous methods have required good quality 3D images in order to model the 3D motion, and such images cannot be acquired fast enough to capture the respiratory motion. A new general purpose motion modelling framework has recently been developed at UCL that can model the 3D motion directly from ‘partial’ or ‘unreconstructed’ imaging data, such as individual 2D slices, or raw k-space data. Motion compensated image reconstruction can also be incorporated into this framework, so that both the motion model and the ‘motion-free’ image can be recovered from the unreconstructed imaging data. This framework has already shown great promise for use with multi-slice MR data, and the potential to work directly on raw k-space data.

This PhD studentship will further develop and tailor the motion modelling framework to work with MR data, and utilise the framework to compensate for respiratory motion during MR acquisitions. This project will provide opportunities to explore both the theoretical and applied aspects of the research, including:

· Applying the motion modelling framework directly to k-space data

· Incorporating improved image registration techniques (e.g. to handle sliding motion)

· Exploring different image reconstruction algorithms

· Simultaneously optimising the motion model and image reconstruction

· Using the framework to correct for respiratory motion in a variety of real MR scans

· Using the motion corrected scans for planning and monitoring radiotherapy treatment

This studentship will be based in the Centre for Doctoral Training in Medical Imaging and the Centre for Medical Image Computing at UCL, but will involve strong collaborations with Centre for Medical Imaging and the Cancer Institute at UCL, and the Radiology and Radiotherapy departments at UCH.

The studentship is offered as an MRes + PhD and is fully funded for 4 years (tax free stipend of £16,851 per year, plus full fees paid). This studentship is available to applicants from the UK and those from the EU who have been living in the UK for 3 or more years. For full eligibility details see: https://www.epsrc.ac.uk/skills/students/help/eligibility/. The start date for the studentship is October 2017.

If you have any questions or would like more information please email Dr Jamie McClelland: j.mcclelland@ucl.ac.uk

To apply for the position please complete an online application here. Closing date: 13th April 2017

Page last modified on 10 apr 17 13:47