Ander Biguri

I'm a Senior Research Associate in the Department of Applied Mathematics and Theoretical Physics at the University of Cambridge currently working on Computed Tomography (CT) reconstruction and machine learning for medical imaging. I did my PhD research at the University of Bath and CERN, and postdocs at the University of Southampton and University College of London. My work focuses on developing fast and accurate algorithms for CT, CBCT and PET image reconstruction, with a particular emphasis on iterative methods and machine learning approaches. I'm the main developer of the TIGRE toolbox, an open-source MATLAB/Python toolbox for CT reconstruction that implements state-of-the-art algorithms and is used worldwide by researchers and industry.

I have broad interests across computational imaging, including motion compensation in medical imaging, deep learning for image reconstruction, and hardware acceleration of imaging algorithms. Recently, I've been working on developing robust neural networks for learned CT reconstruction. Check the in development LION software for this topic.

Publications

Source-detector trajectory optimization for FOV extension in dental CBCT imaging

S. Islam, A. Biguri, C. Landi, Giovanni Di Domenico, Benedikt Schneider, Pascal Grün, C. Sarti, Ramona Woitek, Andrea Delmiglio, C. Schönlieb, D. Turhani, G. Kronreif, Wolfgang Birkfellner, S. Hatamikia

Computational and Structural Biotechnology Journal 2024

ABS

Learned denoising with simulated and experimental low-dose CT data

Maximilian B. Kiss, A. Biguri, C. Schönlieb, K. Batenburg, F. Lucka

arXiv.org 2024

ABS HTML PDF

Data driven surrogate signal extraction for dynamic PET using selective PCA: time windows versus the combination of components

A. C. Whitehead, Kuan-Hao Su, Elise Emond, A. Biguri, L. Brusaferri, Maria Machado, Joanna C. Porter, Helen Garthwaite, S. Wollenweber, Jamie R McClelland, Kris Thielemans

Physics in Medicine and Biology 2024

ABS

A study of why we need to reassess full reference image quality assessment with medical images

Anna Breger, A. Biguri, Malena Sabat'e Landman, Ian Selby, Nicole Amberg, Elisabeth Brunner, J. Gröhl, S. Hatamikia, Clemens Karner, Lipeng Ning, Sören Dittmer, Michael Roberts, AIX-COVNET Collaboration, C. Schönlieb

arXiv.org 2024

ABS HTML PDF

Continuous Learned Primal Dual

Christina Runkel, A. Biguri, C. Schönlieb

International Workshop on Machine Learning for Signal Processing 2024

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Advancing the Frontiers of Deep Learning for Low-Dose 3D Cone-Beam Computed Tomography (CT) Reconstruction

A. Biguri, S. Mukherjee

2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW) 2024

ABS

Source-detector trajectory optimization for customized CBCT field of view extension using simulated annealing algorithm

Hannah Jungreuthmayer, M. Ragib, S. Islam, A. Biguri, G. Kronreif, W. Birkfellner, S. Hatamikia

Medical Imaging 2024

ABS

The realisation of fast X-ray computed tomography using a limited number of projection images for dimensional metrology

W. Sun, Stéphane Chrétien, A. Biguri, M. Soleimani, T. Blumensath, Jessica Talbott

NDT & E International 2023

Ander Biguri

Publications

Source-detector trajectory optimization for FOV extension in dental CBCT imaging

Learned denoising with simulated and experimental low-dose CT data

Data driven surrogate signal extraction for dynamic PET using selective PCA: time windows versus the combination of components

A study of why we need to reassess full reference image quality assessment with medical images

Continuous Learned Primal Dual

Advancing the Frontiers of Deep Learning for Low-Dose 3D Cone-Beam Computed Tomography (CT) Reconstruction

Source-detector trajectory optimization for customized CBCT field of view extension using simulated annealing algorithm

The realisation of fast X-ray computed tomography using a limited number of projection images for dimensional metrology

Source-detector trajectory optimization for CBCT metal artifact reduction based on PICCS reconstruction

On Krylov methods for large-scale CBCT reconstruction

Data Driven Surrogate Signal Extraction for Dynamic PET Using Selective PCA

Pseudo-Bayesian DIP Denoising as a Preprocessing Step for Kinetic Modelling in Dynamic PET

Navigating the development challenges in creating complex data systems

Extension of the open-source TIGRE toolbox for proton imaging

TIGRE-VarianCBCT for on-board cone-beam computed tomography, an open-source toolkit for imaging, dosimetry and clinical research.

Source-detector trajectory optimization in cone-beam computed tomography: a comprehensive review on today’s state-of-the-art

Effects of fast x-ray cone-beam tomographic measurement on dimensional metrology

Possibility assessment of CBCT metal artifact reduction based on PICCS reconstruction and trajectory optimization

Benchmarking of different reconstruction algorithms for industrial cone-beam CT

Scalable FBP Decomposition for Cone-Beam CT Reconstruction

Comparison of Motion Correction Methods Incorporating Motion Modelling for PET/CT Using a Single Breath Hold Attenuation Map

Recent Progress in STIR 5.0

Systematic Evaluation of the Impact of Involuntary Motion in Whole Body Dynamic PET

Toward on-the-fly trajectory optimization for C-arm CBCT under strong kinematic constraints

Arbitrarily large tomography with iterative algorithms on multiple GPUs using the TIGRE toolbox

PO-1701: Optimized source-detector trajectories for low dose CBCT

PET/CT Respiratory Motion Correction With a Single Attenuation Map Using NAC Derived Deformation Fields

Optimization for customized trajectories in cone beam computed tomography

Short Scan Source-detector Trajectories for Target-based CBCT

Spatial resolution of a laboratory based X-Ray cone-beam laminography scanning system for various trajectories

Successes and challenges in non-destructive testing of aircraft composite structures

Application of iterative reconstruction algorithms to mitigate CT-artefacts when measuring fiber reinforced polymer materials

Numerically robust tetrahedron-based tomographic forward and backward projectors on parallel architectures

Arbitrarily large iterative tomographic reconstruction on multiple GPUs using the TIGRE toolbox

Source-Detector Trajectory Optimization for Target-Based C-Arm Cone Beam Computed Tomography

Block stochastic gradient descent for large-scale tomographic reconstruction in a parallel network

Initial result on the use of tetrahedra-based imaging for limited angle tomography

Parameter selection in limited data cone-beam CT reconstruction using edge-preserving total variation algorithms

A general method for motion compensation in x-ray computed tomography

TIGRE: a MATLAB-GPU toolbox for CBCT image reconstruction

Motion correction in X-ray tomography using a priori known deformation vector fields and iterative reconstruction methods

GPU based iterative CBCT for prospective motion compensated algorithm for radiation therapy

Statistical and deterministic approaches for electrode movement in lung EIT

Tracking boundary movement and exterior shape modelling in lung EIT imaging

Empirical evidence of the task-adapted reconstruction framework for joint CT reconstruction and segmentation

Comparison of Analytical and Iterative Algorithms for Reconstruction of Microtomographic Phantom Images and Rat Mandibular Scans

The TIGRE toolbox in industrial CT

Iterative reconstruction and motion compensation in computed tomography on GPUs

TIGRE: a MATLAB-GPU toolbox for CBCT image reconstruction

Tomography: from medicine to accelerator physics, and back again

You may also be interested in : GPU-based iterative CBCT reconstruction using tight frame regularization

Limited cone beam reconstruction using edge preserving total variation regularisation

TIGRE toolbox: Tomographic Iterative GPU-based Reconstruction

4D FEM models of the human thorax

Dual modality EIT-CBCT for lung radiation therapy

Electrode movement due to breathing in lung EIT imaging

Dual modality CBCT and EIT for lung radiation therapy