skip to content

Faculty of Mathematics

 

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

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)
00,
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)
Parameter selection in limited data cone-beam CT reconstruction using edge-preserving total variation algorithms
M Lohvithee, A Biguri, M Soleimani
– Physics in Medicine & Biology
(2017)
62,
9295
  • <
  • 4 of 5
  • >

Research Group

Cambridge Image Analysis

Room

F0.08