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Contact information

Email
karla@fmrib.ox.ac.uk

Telephone
+44 (0) 1865 610471

PA
Eugenie La Grange
eugenie.lagrange@ndcn.ox.ac.uk

Pronouns: she/her

Related Links

OxCIN Physics Group

Full Curriculum Vitae

Karla Miller

Director of the Oxford Centre for Integrative Neuroimaging (OxCIN)

Professor of Biomedical Engineering
Wellcome Trust Senior Research Fellow
Associate Head for Equality, Diversity & Inclusion, Oxford Medical Sciences Division

I am the Director of the Oxford Centre for Integrative Neuroimaging (OxCIN). OxCIN is the successor to WIN, a multi-disciplinary neuroimaging research facility. We develop and deploy neuroimaging and related technologies to solve big challenges in basic neuroscience and brain health. I also lead the MRI Physics Group at OxCIN, which is a collection of PIs with shared interest in methods for acquiring, reconstructing, and analysing magnetic resonance imaging/spectroscopy data.

My research group is helping to advance the state of the art in MRI through improvements in signal sensitivity and specificity. We are developing methods to measure aspects of tissue microstructure that are central to neuronal health and disease. We are improving our understanding of MRI data in living subjects through scans of post-mortem brains in combination with light microscopy in the same tissue. We are developing the next generation of diffusion and functional MRI acquisition techniques for studying brain connectivity, by taking advantage of ultra-high field scanners and sophisticated signal processing. Finally, we are developing biophysically principled methods for data "harmonisation" to enable the translation of large-scale studies like UK Biobank into smaller-scale neuroimaging studies and clinical settings.

These methods will enable neuroscientists to study the brain with greater precision. My group is actively involved in collaborations with neuroscience colleagues in Oxford and elsewhere to study neuronal health and disease.

Finally, I am passionate about diversity & inclusion in academia, and the need to improve research culture. I lead EDI for Oxford's Medical Sciences Division.

DPhil Projects

I have regular DPhil opportunities for candidates with a background in physics, engineering or neuroscience. Projects will usually be designed collaboratively with the candidate. Please get in touch if you would like to discuss possible projects, including an up-to-date CV.

Key publications

Accelerated multi-shell diffusion MRI with Gaussian process estimated reconstruction of multi-band imaging.

Ye X. et al, (2025), Magn Reson Med, 94, 694 - 712

Self-Navigated 3D Diffusion MRI Using an Optimized CAIPI Sampling and Structured Low-Rank Reconstruction Estimated Navigator.

Li Z. et al, (2025), IEEE Trans Med Imaging, 44, 632 - 644

An open resource combining multi-contrast MRI and microscopy in the macaque brain.

Howard AFD. et al, (2023), Nat Commun, 14

Why every lab needs a handbook.

Tendler BC. et al, (2023), Elife, 12

Tensor image registration library: Deformable registration of stand-alone histology images to whole-brain post-mortem MRI data.

Huszar IN. et al, (2023), Neuroimage, 265

Phenotypic and genetic associations of quantitative magnetic susceptibility in UK Biobank brain imaging.

Wang C. et al, (2022), Nat Neurosci, 25, 818 - 831

The Digital Brain Bank, an open access platform for post-mortem imaging datasets.

Tendler BC. et al, (2022), Elife, 11

Joint modelling of diffusion MRI and microscopy.

Howard AF. et al, (2019), Neuroimage, 201

Diffusion Acceleration with Gaussian process Estimated Reconstruction (DAGER).

Wu W. et al, (2019), Magn Reson Med, 82, 107 - 125

The spatial correspondence and genetic influence of interhemispheric connectivity with white matter microstructure.

Mollink J. et al, (2019), Nat Neurosci, 22, 809 - 819

Recovering task fMRI signals from highly under-sampled data with low-rank and temporal subspace constraints.

Chiew M. et al, (2018), Neuroimage, 174, 97 - 110

Multimodal population brain imaging in the UK Biobank prospective epidemiological study.

Miller KL. et al, (2016), Nat Neurosci, 19, 1523 - 1536

Recent publications

Multi-modal Monte Carlo MRI simulator of tissue microstructure

Cottaar M. et al, (2026), Imaging Neuroscience

Between-species variation in neocortical sulcal anatomy of the carnivoran brain.

Boch M. et al, (2026), Elife, 13

PANDORA: Population Archive of Neuroimaging Data Organized for Rapid Analysis

Abivardi A. et al, (2026)

Submillimeter diffusion MRI using an in-plane segmented 3D multi-slab acquisition and denoiser-regularized reconstruction

Li Z. et al, (2026), Medical Image Analysis, 107

Brain Perfusion Imaging of a Large Population: Arterial Spin Labelling MRI in UK Biobank

Okell TW. et al, (2025)

Brain Perfusion Imaging of a Large Population: Arterial Spin Labelling MRI in UK Biobank

Okell TW. et al, (2025)

Diffusion-weighted steady-state free precession imaging in the ex vivo macaque brain on a 10.5T human MRI scanner.

Tendler BC. et al, (2025), bioRxiv

An RF coil array system for in vivo & ex vivo non-human primate brain studies at 10.5 Tesla.

Waks M. et al, (2025), bioRxiv

Accelerated multi-shell diffusion MRI with Gaussian process estimated reconstruction of multi-band imaging.

Ye X. et al, (2025), Magn Reson Med, 94, 694 - 712

Brain Perfusion Imaging of a Large Population: Arterial Spin Labelling MRI in UK Biobank

Okell TW. et al, (2025)

Investigating the sensitivity of the diffusion MRI signal to magnetization transfer and permeability via Monte-Carlo simulations

Zheng Z. et al, (2025)

Considerations and recommendations from the ISMRM Diffusion Study Group for preclinical diffusion MRI: Part 3-Ex vivo imaging: Data processing, comparisons with microscopy, and tractography.

Schilling KG. et al, (2025), Magn Reson Med, 93, 2561 - 2582

Considerations and recommendations from the ISMRM diffusion study group for preclinical diffusion MRI: Part 1: In vivo small-animal imaging.

Jelescu IO. et al, (2025), Magn Reson Med, 93, 2507 - 2534

Considerations and recommendations from the ISMRM diffusion study group for preclinical diffusion MRI: Part 2-Ex vivo imaging: Added value and acquisition.

Schilling KG. et al, (2025), Magn Reson Med, 93, 2535 - 2560

Multi-modal Monte Carlo MRI simulator of tissue microstructure

Cottaar M. et al, (2025)

Self-Navigated 3D Diffusion MRI Using an Optimized CAIPI Sampling and Structured Low-Rank Reconstruction Estimated Navigator.

Li Z. et al, (2025), IEEE Trans Med Imaging, 44, 632 - 644

Linking microscopy to diffusion MRI with degenerate biophysical models: An application of the Bayesian EstimatioN of CHange (BENCH) framework.

Kor DZL. et al, (2025), Imaging Neurosci (Camb), 3

Linking microscopy to diffusion MRI with degenerate biophysical models: an application of the Bayesian EstimatioN of CHange (BENCH) framework

Kor DZL. et al, (2024)

From Big Data to the clinic: methodological and statistical enhancements to implement the UK Biobank imaging framework in a memory clinic

Gillis G. et al, (2024)

Hippocampal connectivity patterns echo macroscale cortical evolution in the primate brain.

Eichert N. et al, (2024), Nat Commun, 15

High resolution diffusion imaging in the unfixed post-mortem infant brain at 7T.

Wu W. et al, (2024), Imaging Neurosci (Camb), 2, 1 - 20

TDP-43-M323K causes abnormal brain development and progressive cognitive and motor deficits associated with mislocalised and increased levels of TDP-43

Godoy-Corchuelo JM. et al, (2023)

Protocol for tissue processing and paraffin embedding of mouse brains following ex vivo MRI.

Smart A. et al, (2023), STAR Protoc, 4

Thermal Stimulus Task fMRI in the Cervical Spinal Cord at 7 Tesla.

Seifert AC. et al, (2023), bioRxiv

Mutation in the FUS nuclear localisation signal domain causes neurodevelopmental and systemic metabolic alterations.

Ali Z. et al, (2023), Dis Model Mech, 16

An open resource combining multi-contrast MRI and microscopy in the macaque brain.

Howard AFD. et al, (2023), Nat Commun, 14

Why every lab needs a handbook.

Tendler BC. et al, (2023), Elife, 12

A resource for development and comparison of multi-modal brain 3T MRI harmonisation approaches

Warrington S. et al, (2023)

Association of gout with brain reserve and vulnerability to neurodegenerative disease.

Topiwala A. et al, (2023), Nat Commun, 14

Both noise-floor and tissue compartment difference in diffusivity contribute to FA dependence on b-value in diffusion MRI.

Yao J. et al, (2023), Hum Brain Mapp, 44, 1371 - 1388

FUSDelta14 mutation impairs normal brain development and causes systemic metabolic alterations

Godoy-Corchuelo JM. et al, (2023)

Tensor image registration library: Deformable registration of stand-alone histology images to whole-brain post-mortem MRI data.

Huszar IN. et al, (2023), Neuroimage, 265

Automated detection of cerebral microbleeds on MR images using knowledge distillation framework.

Sundaresan V. et al, (2023), Front Neuroinform, 17

Telomere length and brain imaging phenotypes in UK Biobank.

Topiwala A. et al, (2023), PLoS One, 18

An automated pipeline for extracting histological stain area fraction for voxelwise quantitative MRI-histology comparisons.

Kor DZL. et al, (2022), Neuroimage, 264

Estimating axial diffusivity in the NODDI model.

Howard AF. et al, (2022), Neuroimage, 262

Ultrahigh Resolution fMRI at 7T Using Radial-Cartesian TURBINE Sampling.

Graedel NN. et al, (2022), Magn Reson Med, 88, 2058 - 2073

Adapting UK Biobank imaging for use in a routine memory clinic setting: the Oxford Brain Health Clinic

Griffanti L. et al, (2022)

Associations between moderate alcohol consumption, brain iron, and cognition in UK Biobank participants: Observational and mendelian randomization analyses.

Topiwala A. et al, (2022), PLoS Med, 19

Intra-Areal Visual Topography in Primate Brains Mapped with Probabilistic Tractography of Diffusion-Weighted Imaging.

Tang-Wright K. et al, (2022), Cereb Cortex, 32, 2555 - 2574

Model-based dynamic off-resonance correction for improved accelerated fMRI in awake behaving nonhuman primates.

Shahdloo M. et al, (2022), Magn Reson Med, 87, 2922 - 2932

Phenotypic and genetic associations of quantitative magnetic susceptibility in UK Biobank brain imaging.

Wang C. et al, (2022), Nat Neurosci, 25, 818 - 831

Social connections predict brain structure in a multidimensional free-ranging primate society.

Testard C. et al, (2022), Sci Adv, 8

SARS-CoV-2 is associated with changes in brain structure in UK Biobank.

Douaud G. et al, (2022), Nature, 604, 697 - 707

The Digital Brain Bank, an open access platform for post-mortem imaging datasets.

Tendler BC. et al, (2022), Elife, 11

SARS-CoV-2 is associated with changes in brain structure in UK Biobank.

Douaud G. et al, (2022), medRxiv

Reliability of multi-site UK Biobank MRI brain phenotypes for the assessment of neuropsychiatric complications of SARS-CoV-2 infection: The COVID-CNS travelling heads study.

Duff E. et al, (2022), PLoS One, 17

Adapting UK Biobank imaging for use in a routine memory clinic setting: The Oxford Brain Health Clinic.

Griffanti L. et al, (2022), Neuroimage Clin, 36

A method to remove the influence of fixative concentration on postmortem T2 maps using a kinetic tensor model.

Tendler BC. et al, (2021), Hum Brain Mapp, 42, 5956 - 5972

Combined diffusion-relaxometry microstructure imaging: Current status and future prospects.

Slator PJ. et al, (2021), Magn Reson Med, 86, 2987 - 3011

Quantifying myelin in crossing fibers using diffusion-prepared phase imaging: Theory and simulations.

Cottaar M. et al, (2021), Magn Reson Med, 86, 2618 - 2634

Diffusion MRI data, sulcal anatomy, and tractography for eight species from the Primate Brain Bank.

Bryant KL. et al, (2021), Brain Struct Funct, 226, 2497 - 2509

Subspace-constrained approaches to low-rank fMRI acceleration.

Mason HT. et al, (2021), Neuroimage, 238

Resonate: Reaching Excellence Through Equity, Diversity, and Inclusion in ISMRM.

Warnert EAH. et al, (2021), 53, 1608 - 1611

Adapting the UK Biobank Brain Imaging Protocol and Analysis Pipeline for the C-MORE Multi-Organ Study of COVID-19 Survivors.

Griffanti L. et al, (2021), Front Neurol, 12

Medium-term effects of SARS-CoV-2 infection on multiple vital organs, exercise capacity, cognition, quality of life and mental health, post-hospital discharge.

Raman B. et al, (2021), EClinicalMedicine, 31

Confound modelling in UK Biobank brain imaging.

Alfaro-Almagro F. et al, (2021), Neuroimage, 224

Automated Detection of Candidate Subjects With Cerebral Microbleeds Using Machine Learning.

Sundaresan V. et al, (2021), Front Neuroinform, 15

Confound modelling in UK Biobank brain imaging.

Alfaro-Almagro F. et al, (2021), NeuroImage, 224, 117002 - 117002

Adapting the UK Biobank brain imaging protocol and analysis pipeline for the C-MORE multi-organ study of COVID-19 survivors

Griffanti L. et al, (2021)