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Cambridge Image Analysis

Dr Ander Biguri

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

Advancing the Frontiers of Deep Learning for Low-Dose 3D Cone-Beam CT Reconstruction
A Biguri, S Mukherjee, X Zhao, X Liu, X Wang, R Yang, Y Du, Y Peng, M Brudfors, M Graham, H Ryu, O Kutter, A Hauptmann, M Al-Rubaye, MT Nieminen, MAK Brix, A Yunker, R Kettimuthu, JC Roeske, S Alavala, S Gorthi, C-B Schönlieb
(2024)
(doi: 10.36227/techrxiv.172418119.96055599/v1)
Learned denoising with simulated and experimental low-dose CT data
MB Kiss, A Biguri, C-B Schönlieb, KJ Batenburg, F Lucka
(2024)
(link to publication)
Data driven surrogate signal extraction for dynamic PET using selective PCA: time windows versus the combination of components.
AC Whitehead, K-H Su, EC Emond, A Biguri, L Brusaferri, M Machado, JC Porter, H Garthwaite, SD Wollenweber, JR McClelland, K Thielemans
– Phys Med Biol
(2024)
69,
175008
(doi: 10.1088/1361-6560/ad5ef1)
Continuous Learned Primal Dual
C Runkel, A Biguri, C-B Schönlieb
(2024)
(link to publication)
On Krylov methods for large-scale CBCT reconstruction
M Sabaté Landman, A Biguri, S Hatamikia, R Boardman, J Aston, C-B Schönlieb
– Phys Med Biol
(2023)
68,
155008
(doi: 10.1088/1361-6560/acd616)
The realisation of fast X-ray computed tomography using a limited number of projection images for dimensional metrology
W Sun, S Chretien, A Biguri, M Soleimani, T Blumensath, J Talbott
– NDT & E International
(2023)
137,
102852
(doi: 10.1016/j.ndteint.2023.102852)
The realisation of fast X-ray computed tomography using a limited number of projection images for dimensional metrology
W Sun, S Chretien, A Biguri, M Soleimani, T Blumensath, J Talbott
(2023)
(link to publication)
Navigating the development challenges in creating complex data systems
S Dittmer, M Roberts, J Gilbey, A Biguri, J Preller, JHF Rudd, JAD Aston, C-B Schönlieb
– Nature Machine Intelligence
(2023)
5,
681
(doi: 10.1038/s42256-023-00665-x)
On Krylov Methods for Large Scale CBCT Reconstruction
MS Landman, A Biguri, S Hatamikia, R Boardman, J Aston, C-B Schonlieb
(2022)
(link to publication)
Navigating the challenges in creating complex data systems: a development philosophy
S Dittmer, M Roberts, J Gilbey, A Biguri, A-C Collaboration, J Preller, JHF Rudd, JAD Aston, C-B Schönlieb
(2022)
(doi: 10.48550/arxiv.2210.13191)
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Research Group

Cambridge Image Analysis

Email

ab2860@cam.ac.uk

Room

F0.08

Personal homepage

http://anderbiguri.github.io/

Study at Cambridge

About the University

Research at Cambridge