Neuroimaging

Quantitative MRI methods for neuroscience studies, including AI-enabled stratification.

Quantitative brain maps from advanced neuro MRI (example).

Bioxydyn is experienced in the deployment of quantitative MRI methods for neuroscience in conditions including multiple sclerosis, neurodevelopmental conditions, dementia, and neuro-oncology. Our collaboration with Queen Square Analytics enables advanced AI methods for patient stratification with a focus on multiple sclerosis and Alzheimer's disease.

Bioxydyn provides commonly used techniques such as atrophy measurements and diffusion MRI measurements. We also provide more complex quantitative methods, including dynamic contrast-enhanced MRI (DCE-MRI) measurements of subtle blood-brain barrier dysfunction, arterial spin labelling (ASL), MR spectroscopy, and relaxometry. These measurements can be used to interrogate physiological phenomena, metabolism, drug effects, and mechanism of action in a wide range of neurological conditions.

Voxel-wise quantitative maps support stratification and longitudinal monitoring in neurological trials.

Our neuroimaging workflows combine protocol design, site qualification, quality control, and audited analysis to deliver repeatable biomarkers across sites and scanners. The result is a defensible dataset that supports confident decisions in neurological development programs.

Neuroimaging publications

Peer-reviewed neuroimaging studies supporting quantitative MRI, perfusion, and AI-enabled stratification.

5 publications Refine by area, year, or keyword.
  • Quantification of water exchange across the blood-brain barrier using noncontrast MR fingerprinting
    2024 Research Article
    Key Publication

    Quantification of water exchange across the blood-brain barrier using noncontrast MR fingerprinting

    Thomson EL, Powell E, Gandini Wheeler-Kingshott CAM, Parker GJM

    Magn Reson Med 92(4):1392-1403

    Why it matters: Noncontrast MR fingerprinting highlights BBB exchange as a quantitative biomarker.

  • Recommendations for quantitative cerebral perfusion MRI using multi-timepoint arterial spin labeling: acquisition, quantification, and clinical applications
    2024 Consensus Statement

    Recommendations for quantitative cerebral perfusion MRI using multi-timepoint arterial spin labeling: acquisition, quantification, and clinical applications

    Woods JG, Achten E, Asllani I, Bolar DS, Dai W, Detre JA, et al.

    Magn Reson Med 92(2):469-495

  • Pore size estimation in axon-mimicking microfibers with diffusion-relaxation MRI
    2024 Research Article

    Pore size estimation in axon-mimicking microfibers with diffusion-relaxation MRI

    Canales-Rodriguez EJ, Pizzolato M, Zhou FL, Barakovic M, Thiran JP, Jones DK, et al.

    Magn Reson Med 91(6):2579-2596

  • 2024 Research Article

    An efficient semi-supervised quality control system trained using physics-based MRI artefact generators and adversarial training

    Ravi D, Barkhof F, Alexander DC, Puglisi L, Parker GJM, Eshaghi A

    Med Image Anal 91:103033

  • 2023 Research Article

    Blood-brain barrier water exchange measurements using contrast-enhanced ASL

    Powell E, Dickie BR, Ohene Y, Maskery M, Parker GJM, Parkes LM

    NMR Biomed 36(11):e5009

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