Research output per year
Research output per year
Personal profile
Research Profile
My current research focuses on medical applications for Fast Field-Cycling MRI (FFC MRI).
FFC MRI is a new technology of MRI scanners that provides the ability to change the main magnetic field during a scan. This seemingly simple modification can actually be used in a great variety of applications and brings much information that is otherwise unaccessible from conventional scanners.
At the moment I am working on applying FFC MRI for the detection or characterisation of several pathologies, from osteoarthritis to cancer or thrombosis. I am interested in any medical problem that involves detection or chearacterisation.
Research Keywords:
MRI, FFC MRI, double resonance, medical applications, osteoarthritis, cancer, liver fibrosis, thrombosis, muscle injury, sarcopenia, spin relaxation mechanisms
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Open-source magnetic resonance imaging: Improving access, science, and education through global collaboration
Winter, L., Periquito, J., Kolbitsch, C., Pellicer-Guridi, R., Nunes, R. G., Häuer, M., Broche, L. & O'Reilly, T., 20 Nov 2023, (E-pub ahead of print) In: NMR in Biomedicine. 27 p., e5052.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Assessing severity of cerebral small vessel disease using field-cycling MRI and automated segmentation: Proffered Conference Abstract - World Stroke Congress 2023
Senn, N., Mallikourti, V., Ross, J., Broche, L., Waiter, G. & Macleod, M., 10 Oct 2023, In: International Journal of Stroke. 18, 3_suppl, EP201.Research output: Contribution to journal › Abstract › peer-review
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Detection of cerebral small vessel disease using denoised field-cycling MRI: Book of Abstracts ESMRMB 2023
Senn, N., Mallikourti, V., Ross, J., Broche, L., Waiter, G. & Macleod, M., 23 Sept 2023, In: Magnetic Resonance Materials in Physics, Biology and Medicine. 36, Suppl 1, p. s297 1 p., p247.Research output: Contribution to journal › Abstract › peer-review
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Field-cycling imaging in ovarian cancer: a novel technology
Bhagat, N., Broche, L., Shylasree, T. S., Kiltie, A. E., Bhattacharya, S. & Gurumurthy, M., 7 Aug 2023, In: International Journal of Gynecological Cancer. 33, 8, p. 1329-1330 2 p.Research output: Contribution to journal › Comment/debate › peer-review
Open AccessFile2 Downloads (Pure) -
Automated segmentation of cerebral small vessel disease from field-cycling MRI: Proffered Conference Abstract - MIUA 2023
Senn, N., Mallikourti, V., Ross, J., Broche, L., Waiter, G. & Macleod, M., 19 Jul 2023, 27th Conference on Medical Image Understanding and Analysis 2023. Waiter, G., Lambrou, T., Leontidis, G., Oren, N., Morris, T., Gordon, S., McGowan, J. & Nicolson, C. (eds.). Frontiers Media SA, Vol. Frontiers Abstract Book.Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution
Datasets
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Two-point method for faster acquisition of FFC-MRI images
Broche, L. (Creator), Lurie, D. (Supervisor) & Ross, J. (Contributor), University of Aberdeen, 1 Mar 2016
DOI: 10.20392/145bb060-8b46-4adf-8a2d-92b37cb163ff
Dataset
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Pilot study for the determination of FFC NMR biomarkers of osteoarthritis in human cartilage
Broche, L. (Creator), Lurie, D. (Supervisor) & Ashcroft, G. P. (Contributor), University of Aberdeen, 1 Mar 2016
DOI: 10.20392/7b8b6cf8-ef29-434c-98dc-cfacd83c36b8
Dataset