Dr Sarah Needleman
PhD
School of Medicine and Population Health
Post-doctoral Research Associate in Pulmonary MRI
s.h.needleman@sheffield.ac.uk
Polaris
Full contact details
Dr Sarah Needleman
School of Medicine and Population Health
Polaris
18 Claremont Crescent
Sheffield
S10 2TA
School of Medicine and Population Health
Polaris
18 Claremont Crescent
Sheffield
S10 2TA
- Profile
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My research advances the use of MRI to assess lung function.
I have previously focused on using inhaled pure oxygen as an MRI contrast agent, a technique known as oxygen-enhanced MRI (OE-MRI).
- Qualifications
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- Doctor of Philosophy (PhD) in Medical Imaging, University College London, 2020 - 2024
- Master of Research in Medical Imaging (MRes), University College London, 2019 - 2020
- Master of Natural Sciences (MSci), University of Cambridge, 2014 - 2018
- Research interests
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- Lung MRI
- Tissue oxygenation
- Dynamic imaging
- Publications
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Journal articles
- Interpolation-split: a data-centric deep learning approach with big interpolated data to boost airway segmentation performance. Journal of Big Data, 11(1). View this article in WRRO
- Feasibility of dynamic T2*-based oxygen-enhanced lung MRI at 3T. Magnetic Resonance in Medicine, 91(3), 972-986. View this article in WRRO
- Independent component analysis (ICA) applied to dynamic oxygen-enhanced MRI (OE-MRI) for robust functional lung imaging at 3 T. Magnetic Resonance in Medicine, 91(3), 955-971. View this article in WRRO
- Automated airway quantification associates with mortality in idiopathic pulmonary fibrosis. European Radiology, 33(11), 8228-8238. View this article in WRRO
Conference proceedings
- Functional Lung MRI at 3.0 T using Oxygen-Enhanced MRI (OE-MRI) and Independent Component Analysis (ICA). ISMRM Annual Meeting, 7 May 2022 - 12 May 2022.
- Interpolation-split: a data-centric deep learning approach with big interpolated data to boost airway segmentation performance. Journal of Big Data, 11(1). View this article in WRRO