CMIH Spring 2018 Newsletter

Welcome to the Spring 2018 newsletter. The last few months have seen some of our researchers involved in the Statistical Scalability programme at the Isaac Newton Institute, and others taking part in the Science Festival, showcasing interesting mathematical imaging applications. Alongside that we are looking forward to our next event 'Connecting with Academia', to be held on May 2nd. More information on all of this below.

The next CMIH event will be held on Wednesday 2nd May, at the Isaac Newton Institute. The event, 'Developments in Healthcare Imaging - Connecting with Academia' , follows on from last years successful one-day conference, and aims to bring together academics and others working on mathematical statistical techniques for medical imaging, to share cutting edge research. The event features sessions led by the Liverpool Centre for Mathematics in Healthcare, and the Medical Image Analysis Network (MedIAN), as well as a session showcasing work from the CMIH, and a number of short talks from our partners. This event is hosted by the Turing Gateway to Mathematics. To find out more, see the programme, and to register use the link below.

CMIH affiliated students again took part in this years science festival. During the Hands on Maths Fair there was a chance for participants to use the miniature, portable IoLight microscope, and to find out about automatically analysing the microscope's digital images using machine learning. Researchers also showcased an interactive demonstration of how CT (computed tomography) scanning works.

From January to June the Isaac Newton Institute is hosting a scientific programme on 'Statistical Scalability', co-organised by CMIH statistical lead, John Aston. The programme has featured a number of workshops & seminars, with the final workshop planned for 25th-29th June. The programme has enabled experts from both the UK and beyond to meet and discuss advances in this field.

CMIH Imaging Clinic

The CMIH Imaging Clinic returns this term. This is a free advice clinic offering information on various aspects of imaging methodology, including image acquisition & image analysis techniques. The clinic is held during term time on Wednesdays 4:00-5:30, with the location alternating between the Centre for Mathematical Sciences & the CRUK Cambridge Institute. Please drop in to discuss any imaging related problems and projects. Upcoming sessions are:

Wed May 2nd, 4:00 – Cancer Research UK Cafe
Wed May 16th, 4:00 – Centre for Mathematical Sciences, MR3
Wed June 6th, 4:00 – Cancer Research UK Cafe
Wed June 20th, 4:00 – Centre for Mathematical Sciences, MR3

Awards and Recognition

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

CMIH director Carola Schönlieb recently presented the London Mathematical Society's Mary Cartwright lecture, discussing her work on 'Model-based learning in imaging'

Richard Samworth has been appointed as Head of the Statistics Laboratory within the Department of Pure Maths and Mathematical Statistics, at the University of Cambridge

Sarah Bohndiek's Vision lab was featured on BBC's Look East discussing the start of a new clinical trial in patients with Barrett’s oesophagus; http://www.bohndieklab.org/news/visionlab-research-featured-on-bbc-news/

The University of Cambridge Radiology Department, led by CMIH investigator Fiona Gilbert celebrated its 40th anniversary recently, with a great programme of talks, and a celebratory dinner with past and present members of the department.

Visitors

We've welcomed a number of recent seminar speakers:

David Tuch, Lightpoint Medical, presented 'Intraoperative molecular imaging'

Jinming Duan, Imperial College London, presented 'Deep supervised level set method: an approach to fully automated segmentation of cardiac MR images in patients with pulmonary hypertension', and was joined by Declan O'Regan

Daniel Rueckert, Imperial College London, presented 'Learning clinically useful information from medical images'

Over the coming weeks and months we look forward to welcoming:

Bill Jagust, UC Berkeley School of Public Health, on May 4th
Miguel Rodrigues, UCL, on May 25th
Audrey Repetti, Heriot-Watt University, on June 1st
Qingnan Fan, Shandong University and Microsoft Research Asia, a long term visitor who will be working with the CMIH between August and October 2018.

Future talks in the CMIH seminar series can be found on talks.cam

Upcoming events

Isaac Newton Institute Programme on Statistical Scalability, January to June 2018, Isaac Newton Institute, Cambridge, UK
Isaac Newton Institute Programme on Uncertainty quantification for complex systems: theory and methodologies, January to June 2018, Isaac Newton Institute, Cambridge, UK
Developments in Healthcare Imaging - Connecting with Academia, 2nd May 2018, Isaac Newton Institute, Cambridge, UK
Cambridge Imaging Festival, 15th May 2018, CRUK Cambridge Institute, Cambridge, UK
Postgraduate Symposium of the British Chapter of ISMRM, 18th May 2018, St Mary's Campus, London, UK
2nd Cambridge Representational Similarity Analysis and Advanced Computational Methods Workshop (RSA2018), 21st-22nd May 2018, MRC Cognition and Brain Sciences Unit, Cambridge, UK
IEEE IVMSP Workshop, 10th-12th June 2018, Zagori, Aristi Village, Greece
Gordon Research Conference (GRC) on Image Science, 17th-22nd June 2018, Easton, USA
Machine Learning Summer School, 18th-30th June 2018, Universidad Torcuato Di Tella, Buenos Aires, Argentina
Medical Imaging with Deep Learning, Amsterdam, 4th-6th July 2018, Amsterdam, Netherlands
International Conference on Clinical and Medical Image Analysis 2018 (ICCMIA), 27th July 2018, Tamilnadu, India
MICCAI 2018 – 21st International Conference On Medical Image Computing & Computer Assisted Intervention, 16th-20th September 2018, Granada, Spain

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

Benning, M., & Burger, M. (2018). Modern regularization methods for inverse problems. arXiv preprint arXiv:1801.09922.

Brown, A. J., Teng, Z., Calvert, P., Huang, Y., Obaid, D. R., Hoole, S., ... & Bennett, M. (2018). In vivo coronary plaque structural stress is influenced by both plaque composition and classification. Journal of the American College of Cardiology, 63(12 Supplement), A1756.

Bungert, L., Coomes, D., Ehrhardt, M. J., Rasch, J., Reisenhofer, R., & Schönlieb, C. B. (2018). Blind Image Fusion for Hyperspectral Imaging with the Directional Total Variation. Inverse Problems.

Burger, M., Düring, B., Kreusser, L. M., Markowich, P. A., & Schönlieb, C. B. (2018). Pattern formation of a nonlocal, anisotropic interaction model. Mathematical Models and Methods in Applied Sciences, 28(03), 409-451.

Burger, M., Dirks, H., & Schönlieb, C. B. (2018). A variational model for joint motion estimation and image reconstruction. SIAM Journal on Imaging Sciences, 11(1), 94-128.

Fernandez, A., Spence, E. A., & Fokas, A. S. (2018). Uniform asymptotics as a stationary point approaches an endpoint. IMA Journal of Applied Mathematics, 83(1), 204-242.

Fitzpatrick, C. R. M., Gordon, G. S. D., Sawyer, T. W., Wilkinson, T. D., & Bohndiek, S. E. (2018, February). Wide-field phase imaging for the endoscopic detection of dysplasia and early-stage esophageal cancer. In Endoscopic Microscopy XIII (Vol. 10470, p. 1047015). International Society for Optics and Photonics.

Fokas, A. S., & Wang, Z. (2018, March). Generalised Dirichlet to Neumann maps for linear dispersive equations on half-line. In Mathematical Proceedings of the Cambridge Philosophical Society (Vol. 164, No. 2, pp. 297-324). Cambridge University Press.

Gataric, M., Wang, T., & Samworth, R. J. (2017). Sparse principal component analysis via random projections. arXiv preprint arXiv:1712.05630.

Gee, A. H., Treece, G. M., & Poole, K. E. S. (2018). How does the femoral cortex depend on bone shape? A methodology for the joint analysis of surface texture and shape. Medical image analysis, 45, 55-67.

Gilbert, F. J., & Selamoglu, A. (2018). Personalised screening: is this the way forward?. Clinical radiology, 73(4), 327-333.

Morgan, S. E., White, S. R., Bullmore, E. T., & Vértes, P. E. (2018). A network neuroscience approach to typical and atypical brain development. Biological Psychiatry: Cognitive Neuroscience and Neuroimaging.

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.

Pearson, R. A., & Treece, G. M. (2018). Measurement of the bone endocortical region using clinical CT. Medical image analysis, 44, 28-40.

Pigoli, D., Hadjipantelis, P. Z., Coleman, J. S., & Aston, J. A. (2018). The statistical analysis of acoustic phonetic data: exploring differences between spoken Romance languages.

Poon, C., Liang, J., & Schönlieb, C. B. (2018). Local Convergence Properties of SAGA/Prox-SVRG and Acceleration. arXiv preprint arXiv:1802.02554.

Schmidt, M. F., Benning, M., & Schönlieb, C. B. (2018). Inverse Scale Space Decomposition. Inverse Problems.

Surmacki, J. M., Gonzalez, I. Q., & Bohndiek, S. E. (2018, February). Application of confocal Raman micro-spectroscopy for label-free monitoring of oxidative stress in living bronchial cells. In Biomedical Vibrational Spectroscopy 2018: Advances in Research and Industry (Vol. 10490, p. 1049002). International Society for Optics and Photonics.

Waterhouse, D., Fitzpatrick, C., Di Pietro, M., & Bohndiek, S. E. (2018). Emerging Optical Methods for Endoscopic Barrett’s Surveillance. Lancet Gastroenterology and Hepatology.

Yuan, J., Patterson, A. J., Ruetten, P. P., Reid, S. A., Gillard, J. H., & Graves, M. J. (2018). A Comparison of Black-blood T2 Mapping Sequences for Carotid Vessel Wall Imaging at 3T: An Assessment of Accuracy and Repeatability. Magnetic Resonance in Medical Sciences, mp-2017.

Yuan, J., Usman, A., Reid, S. A., King, K. F., Patterson, A. J., Gillard, J. H., & Graves, M. J. (2018). Three-dimensional black-blood multi-contrast carotid imaging using compressed sensing: a repeatability study. Magnetic Resonance Materials in Physics, Biology and Medicine, 31(1), 183-190.

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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