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Hasan Sari, PhD
Postdoctoral Research Fellow
Bio
After graduating from his masters in Biomedical Engineering, Dr. Sari spent a year at software team of Siemens Molecular Imaging and then completed his PhD in simultaneous PET/MR imaging at University College London. During his PhD, he researched on methods to non-invasively measure the arterial input function in PET imaging, utilizing MR information. After that, he joined University of Cambridge to work on PET/MR imaging in small vessels disease. Since 2018, Dr. Sari has been a research fellow at Martinos Center for Biomedical Engineering.
Dr. Sari’s research has been focusing on developing deep-learning based methods in attenuation correction of PET data using MR information and neuroimaging using PET/MR.
Education
PhD in Medical Physics
University College London, UK
M.Sc. in Biomedical Engineering
University of Oxford, UK
BEng in Electronic Systems Engineering
University of Manchester, UK
Publications
- Alsayed, A, Sadir, H, Kamil, R, Sari, H (2020).Prediction of Epidemic Peak and Infected Cases for COVID-19 Disease in Malaysia, 2020. Int J Environ Res Public Health17,.
- Hosari, S, Hohberger, B, Theelke, L, Sari, H, Lucio, M, Mardin, CY (2020).OCT Angiography: Measurement of Retinal Macular Microvasculature with Spectralis II OCT Angiography – Reliability and Reproducibility. Ophthalmologica243,75-84.
- Sari, H, Erlandsson, K, Marner, L, Law, I, Larsson, HBW, Thielemans, K, Ourselin, S, Arridge, S, Atkinson, D, Hutton, BF (2018).Non-invasive kinetic modelling of PET tracers with radiometabolites using a constrained simultaneous estimation method: evaluation with 11C-SB201745. EJNMMI Res8,58.
- Sari, H, Erlandsson, K, Law, I, Larsson, HB, Ourselin, S, Arridge, S, Atkinson, D, Hutton, BF (2017).Estimation of an image derived input function with MR-defined carotid arteries in FDG-PET human studies using a novel partial volume correction method. J Cereb Blood Flow Metab37,1398-1409.
- Sari, H, Erlandsson, K, Barnes, A, Atkinson, D, Arridge, S, Ourselin, S, Hutton, B (2014).Modelling the impact of injection time on the bolus shapes in PET-MRI AIF Conversion. EJNMMI Phys1,A54.
- Sari, H, Erlandsson, K, Thielemans, K, Atkinson, D, Arridge, S, Ourselin, S, Hutton, B (2014).Incorporation of MRI-AIF information for improved kinetic modelling of dynamic PET data. EJNMMI Phys1,A43.