CMIH Autumn 2018 Newsletter

Welcome to the CMIH Autumn 2018 newsletter, keeping you up to date with some of the recent activities and research from the centre. We recently attended the EPSRC Five Centres Maths in Healthcare workshop in Glasgow, engaging with colleagues from academia and industry and sharing updates and successes with the other centres. Rachel Furner is leaving us shortly for further studies and has been replaced by Josh Stevens as the centre coordinator. We wish her well! CMIH investigator, Dr Graham Treece's collaboration on a new imaging analysis technique for monitoring patients with arthritis could lead to earlier diagnosis of the disease. Continue reading for further information and additional news and feel free to share with any colleagues and collaborators who may be interested.

Members of the CMIH recently travelled to Glasgow to attend the EPSRC Five Centres Maths in Healthcare Workshop. The event brought together all the EPSRC funded centres (Cambridge, Exeter, Glasgow, Liverpool and London) to share updates and exchange research and ideas. With participants from the EPSRC, academia, clinicians and industry there was a great deal of discussion about mathematics in healthcare and the current challenges we face. It was a successful three days in Glasgow and a big thanks to the joint hosts – Glasgow and Liverpool. More information is available in our blog

We have recently welcomed the new CMIH coordinator, Josh Stevens. Josh is taking over from the existing coordinator Rachel Furner, who will be shortly leaving her post to pursue PhD studies.

Dr Graham Treece, CMIH Investigator, and his collaborators have developed a new 3D imaging analysis technique which could change how the severity of structural joint disease is assessed. It could also further increase the understanding of how the disease develops.

Awards, Recognition and Announcements

Congratulations to CMIH members for a variety of achievements over the last few months, in particular:

Richard Samworth was awarded COPSS Presidents' Award 2018

Congratulations to Professor Fiona Gilbert for her successful collaborative MRC grant application with the University of Nottingham, “UK Renal Imaging Network (UKRIN): Enabling clinical translation of functional MRI for kidney disease.”

Visitors

Over the summer we've had ....

Qingnan Fan, Shandong University and Microsoft Research Asia, who will be working with the CMIH between August and October 2018.

Ruoteng Li, National University of Singapore, who will be visiting from August 1st - October 1st

Ramona Sasse, University of Munster, who is visiting until November 2018.

Ozan Oktem, KTH Royal Institute of Technology, is visiting from August 2018 until June 2019.

We look forward to future visits from...

Maureen van Eijnatten, Centrum Wiskunde & Informatica (CWI), will be visiting from 1st October 2018 to 1st February 2019.

These, and future talks in the CMIH seminar series can be found on talks.cam

Upcoming events

CMIH workshop: Developments in Healthcare Imaging - Connecting with Industry, 17th October 2018, Isaac Newton Institute, Cambridge, UK
Novel Computational Paradigms, 30th-31st October 2018, Isaac Newton Institute, Cambridge, UK
Artificial Intelligence and Machine Learning in Clinical Imaging Research: Progress and Promise, 6th November 2018, Alan Turing Institute, London, UK
Achieving Impact in Healthcare: From Mathematics to Clinical Support Systems and Devices, 10th-11th April 2019, Isaac Newton Institute, Cambridge, UK
INI Programme on The Fickle Heart, 13th May-7th June 2019, Isaac Newton Institute, Cambridge, UK
Soft Tissue Modelling Workshop, 5th-7th June 2019, Glasgow, UK

The Cambridge Imaging Clinic will continue to be held fortnightly during Michaelmas. Details will be available on our events page very soon!

Keep an eye on our events page to find out about other upcoming events and for information about our seminar series which is open to all!

Recent CMIH publications

Adler, J., Lunz, S., Verdier, O., Schönlieb, C. B., & Öktem, O. (2018). Task adapted reconstruction for inverse problems. arXiv preprint arXiv:1809.00948.

Barrett, T., Riemer, F., McLean, M. A., Kaggie, J., Robb, F., Tropp, J. S., Warren, A., Bratt, O.,Shah, N., Gnanapragasam, V. J., Gilbert, F. J., Graves, M. J., & Gallagher, F. A. (2018). Quantification of Total and Intracellular Sodium Concentration in Primary Prostate Cancer and Adjacent Normal Prostate Tissue With Magnetic Resonance Imaging. Investigative Radiology, 53(8), 450-456. 10.1097/RLI.0000000000000470.

Cai, X., Chan, R., Schonlieb, C. B., Steidl, G., & Zeng, T. (2018). Linkage between Piecewise Constant Mumford-Shah model and ROF model and its virtue in image segmentation. arXiv preprint arXiv:1807.10194.

Corona, V., Benning, M., Ehrherdt, M. J., Gladden, L. F., Mair, R., Reci, A., Sederman, A. J., Reichelt, S., & Schoenlieb, C. B. (2018). Enhancing joint reconstruction and segmentation with non-convex Bregman iteration. arXiv preprint arXiv:1807.01660.

Corona, V., Lellmann, J., Nestor, P., Schoenlieb, C. B., & Acosta-Cabronero, J. (2018). A multi-contrast MRI approach to thalamus segmentation. arXiv preprint arXiv:1807.10757.

Dassios, G., Fokas, A. S., Hashemzadeh, P., & Leahy, R. M. (2018). EEG for Current With Two-Dimensional Support. IEEE Transactions on Biomedical Engineering, 65(9), 2101-2108. 10.1109/TBME.2017.2785342.

Ehrhardt, M. J., Markiewicz, P. & Schönlieb, C. B. (2018). Faster PET Reconstruction with Non-Smooth Priors by Randomization and Preconditioning. arXiv preprint arXiv:1808.07150.

Grist, J., McLean, M. A., Riemer, F., Zaccagna, F., Hilborne, S. F., Mason, J. P., Matys, T., Graves, M., Jones, J. L., Coles, A. J., Brindle, M., & Gallagher, F. A. (2018). Imaging the healthy human brain with hyperpolarized 13C MRI. Wiley. https://www.repository.cam.ac.uk/handle/1810/278402.

Kaggie, J. D., Tovey, R., MacKay, J. W., Gilbert, F., Gallagher, F. A., McCaskie, A., & Graves, M. (2018). Automated Textural Classification of Osteoarthritis Magnetic Resonance Images. International Society for Magnetic Resonance in Medicine. https://www.repository.cam.ac.uk/handle/1810/278459.

Lang, L. F. (2018). A Numerical Framework for Efficient Motion Estimation on Evolving Sphere-Like Surfaces based on Brightness and Mass Conservation Laws. arXiv preprint arXiv:1805.01006.

Morgan, S. E., Achard, S., Termenon, M., Bullmore, E. T., & Vértes, P. E. (2018). Low-dimensional morphospace of topological motifs in human fMRI brain networks. Network Neuroscience, 2(2), 285-302. https://doi.org/10.1162/netn_a_00038.

Neves, A. A., Di Pietro, M., O'Donovan, M., Waterhouse, D. J., Bohndiek, S. E., Brindle, K. M., & Fitzgerald, R. C. (2018). Detection of early neoplasia in Barrett's esophagus using lectin-based near-infrared imaging: An ex vivo study on human tissue. Endoscopy, 50(6), 618-625. 10.1055/s-0043-124080.

Papalouka, V., Kilburn-Toppin, F., Gaskarth, M., & Gilbert F. (2018). MRI-guided breast biopsy: A review of technique, indications, and radiological–pathological correlations. Clinical Radiology. https://doi.org/10.1016/j.crad.2018.05.029.

Riis, E. S., Ehrhardt, M. J., Quispel, G. R. W., & Schönlieb, C. B. (2018). A geometric integration approach to nonsmooth, nonconvex optimisation. arXiv preprint arXiv:1807.07554.

Treece, G. M. (2018). Morphology-based noise reduction: Structural variation and thresholding in the Bitonic Filter. University of Cambridge Department of Engineering.

Treece, G. M., Gee, A. (2018). Cortical Bone Mapping: Measurement and Statistical Analysis of Localised Skeletal Changes. Current Osteoporosis Reports, 1-9.

Funding Opportunity

The CMIH welcomes applications for grants of all sizes, for projects which further the field of mathematical imaging for healthcare. For further information, including the application process, visit our website.

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