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Department of Applied Mathematics and Theoretical Physics

Assistant Research Professor at Cambridge Image Analysis (CIA) group, and lead of Computational Applied Tomography (CAT) group.

I am a translational researcher focusing on mathematics and applications of imaging, particularly in tomography. I have worked mostly on medical and scientific Cone Beam Computed Tomography (CBCT), general CT, and Positron Emission Tomography. I have also done some research on Electrical Impedance Tomography (EIT) and Fermi Tomography, among others. My research efforts are equally divided on:

  • Developing mathematical optimization algorithms (both machine learning based and traditional optimization) for inverse problems in tomography (applied maths). 

  • Developing computational methods, high performance computing solutions, machine learning models and software packages for the algorithms above (computer science). 

  • Applying these methods into real datasets and applications of tomography, and proposing novel uses of tomography enabled by the previous two points (applied science & medicine).

I am the main author and maintainer of TIGRE toolbox  (easy to use and fast optimization algorithms for real CT) and currently I am developing the LION toolbox (reproducible and reliable data-driven tomographic reconstruction methods).

I do supervise and co-supervise MPhil and PhD students across the University, don't hesitate to reach out if you think my research experience can be useful. 

 

 

Publications

Optimized source-detector trajectories for low dose CBCT
S Hatamikia, A Biguri, G Kronreif, H Furtado, M Buschmann, J Kettenbach, E Steiner, M Gober, D Georg, W Birkfellner
– RADIOTHERAPY AND ONCOLOGY
(2020)
152,
S937
Optimization for customized trajectories in cone beam computed tomography
S Hatamikia, A Biguri, G Kronreif, J Kettenbach, T Russ, H Furtado, LK Shiyam Sundar, M Buschmann, E Unger, M Figl, D Georg, W Birkfellner
– Medical physics
(2020)
47,
4786
Short Scan Source-detector Trajectories for Target-based CBCT
S Hatamikia, A Biguri, G Kronreif, T Russ, J Kettenbach, W Birkfellner
– 42ND ANNUAL INTERNATIONAL CONFERENCES OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY: ENABLING INNOVATIVE TECHNOLOGIES FOR GLOBAL HEALTHCARE EMBC'20
(2020)
2020,
1299
Numerically robust tetrahedron -based tomographic forward and backward projectors on parallel architectures
A Biguri, H Towsyfyan, R Boardman, T Blumensath
– Ultramicroscopy
(2020)
214,
113016
Spatial resolution of a laboratory based X-Ray cone-beam laminography scanning system for various trajectories
H Deyhle, H Towsyfyan, A Biguri, M Mavrogordato, R Boardman, T Blumensath
– NDT & E International
(2020)
111,
102222
Successes and challenges in non-destructive testing of aircraft composite structures
H TOWSYFYAN, A BIGURI, R BOARDMAN, T BLUMENSATH
– Chinese Journal of Aeronautics
(2020)
33,
771
Application of iterative reconstruction algorithms to mitigate CT-artefacts when measuring fiber reinforced polymer materials
A Wilbers, A Biguri, J Schillings, J Loos
– Polymer
(2019)
177,
120
Numerically robust tetrahedron-based tomographic forward and backward projectors on parallel architectures
A Biguri, H Towsyfyan, R Boardman, T Blumensath
(2019)
Arbitrarily large iterative tomographic reconstruction on multiple GPUs using the TIGRE toolbox
A Biguri, R Lindroos, R Bryll, H Towsyfyan, H Deyhle, R Boardman, M Mavrogordato, M Dosanjh, S Hancock, T Blumensath
(2019)
Block stochastic gradient descent for large-scale tomographic reconstruction in a parallel network
Y Gao, A Biguri, T Blumensath
(2019)
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Research Group

Cambridge Image Analysis

Room

F0.08