Daniel J Tozer

Summary

Affiliation: University College London
Country: UK

Publications

  1. ncbi The mesenchymal stem cells in multiple sclerosis (MSCIMS) trial protocol and baseline cohort characteristics: an open-label pre-test: post-test study with blinded outcome assessments
    Peter Connick
    Dept, of Clinical Neurosciences, University of Cambridge, UK
    Trials 12:62. 2011
  2. ncbi Quantitative magnetisation transfer imaging in glioma: preliminary results
    Daniel J Tozer
    UCL Institute of Neurology, London, UK
    NMR Biomed 24:492-8. 2011
  3. ncbi Texture analysis of magnetization transfer maps from patients with clinically isolated syndrome and multiple sclerosis
    D J Tozer
    UCL Institute of Neurology, London, UK
    J Magn Reson Imaging 30:506-13. 2009
  4. ncbi Removing spikes caused by quantization noise from high-resolution histograms
    Daniel J Tozer
    NMR Research Unit, Department of Neuroinflammation, Institute of Neurology, University College London, London, United Kingdom
    Magn Reson Med 50:649-53. 2003
  5. ncbi Apparent diffusion coefficient histograms may predict low-grade glioma subtype
    Daniel J Tozer
    Department of Neuroinflammation, Institute of Neurology, University College London, Queen Square, London, WC1N 3BG, UK
    NMR Biomed 20:49-57. 2007
  6. ncbi Principal component and linear discriminant analysis of T1 histograms of white and grey matter in multiple sclerosis
    Daniel J Tozer
    NMR Research Unit, Department of Neuroinflammation, Institute of Neurology, University College London, WC1N 3BG London, UK
    Magn Reson Imaging 24:793-800. 2006
  7. ncbi Low-grade gliomas: six-month tumor growth predicts patient outcome better than admission tumor volume, relative cerebral blood volume, and apparent diffusion coefficient
    Gisele Brasil Caseiras
    University College London, Institute of Neurology, London, England
    Radiology 253:505-12. 2009
  8. ncbi Low-grade gliomas: do changes in rCBV measurements at longitudinal perfusion-weighted MR imaging predict malignant transformation?
    Nasuda Danchaivijitr
    Institute of Neurology, University College London, Queen Square, London WC1 3BG, UK
    Radiology 247:170-8. 2008
  9. ncbi Quantitative analysis of whole-tumor Gd enhancement histograms predicts malignant transformation in low-grade gliomas
    Paul S Tofts
    Institute of Neurology, University College London, London, United Kingdom
    J Magn Reson Imaging 25:208-14. 2007
  10. ncbi Quantitative magnetic resonance of postmortem multiple sclerosis brain before and after fixation
    Klaus Schmierer
    NMR Research Unit, Institute of Neurology, University College London, Queen Square, London, UK
    Magn Reson Med 59:268-77. 2008

Collaborators

Detail Information

Publications19

  1. ncbi The mesenchymal stem cells in multiple sclerosis (MSCIMS) trial protocol and baseline cohort characteristics: an open-label pre-test: post-test study with blinded outcome assessments
    Peter Connick
    Dept, of Clinical Neurosciences, University of Cambridge, UK
    Trials 12:62. 2011
    ..Illustrated by the MSCIMS trial protocol, we describe a novel methodology based on detailed assessment of the anterior visual pathway as a model of wider disease processes--the "sentinel lesion approach"...
  2. ncbi Quantitative magnetisation transfer imaging in glioma: preliminary results
    Daniel J Tozer
    UCL Institute of Neurology, London, UK
    NMR Biomed 24:492-8. 2011
    ..Thus, qMTI shows promise for tumour characterisation and for studying tumour boundaries. These preliminary data justify larger studies in a range of different tumour types and grades...
  3. ncbi Texture analysis of magnetization transfer maps from patients with clinically isolated syndrome and multiple sclerosis
    D J Tozer
    UCL Institute of Neurology, London, UK
    J Magn Reson Imaging 30:506-13. 2009
    ..To investigate the behavior of texture parameters derived from the gray level co-occurrence matrix from gray matter (GM) and white matter (WM) (with lesions removed) segments of magnetization transfer ratio maps from controls and patients...
  4. ncbi Removing spikes caused by quantization noise from high-resolution histograms
    Daniel J Tozer
    NMR Research Unit, Department of Neuroinflammation, Institute of Neurology, University College London, London, United Kingdom
    Magn Reson Med 50:649-53. 2003
    ..These spikes can be removed by the addition of uniformly distributed noise to the integer signal intensities before division...
  5. ncbi Apparent diffusion coefficient histograms may predict low-grade glioma subtype
    Daniel J Tozer
    Department of Neuroinflammation, Institute of Neurology, University College London, Queen Square, London, WC1N 3BG, UK
    NMR Biomed 20:49-57. 2007
    ..ADC histogram analysis may aid non-invasive sub-classification of low-grade glioma histological subtypes...
  6. ncbi Principal component and linear discriminant analysis of T1 histograms of white and grey matter in multiple sclerosis
    Daniel J Tozer
    NMR Research Unit, Department of Neuroinflammation, Institute of Neurology, University College London, WC1N 3BG London, UK
    Magn Reson Imaging 24:793-800. 2006
    ..Although in these histograms PCA and LDA did not add greatly to the discriminatory power of traditional histogram parameters, they provide marginally better performance, while relying only on data-driven feature selection...
  7. ncbi Low-grade gliomas: six-month tumor growth predicts patient outcome better than admission tumor volume, relative cerebral blood volume, and apparent diffusion coefficient
    Gisele Brasil Caseiras
    University College London, Institute of Neurology, London, England
    Radiology 253:505-12. 2009
    ....
  8. ncbi Low-grade gliomas: do changes in rCBV measurements at longitudinal perfusion-weighted MR imaging predict malignant transformation?
    Nasuda Danchaivijitr
    Institute of Neurology, University College London, Queen Square, London WC1 3BG, UK
    Radiology 247:170-8. 2008
    ....
  9. ncbi Quantitative analysis of whole-tumor Gd enhancement histograms predicts malignant transformation in low-grade gliomas
    Paul S Tofts
    Institute of Neurology, University College London, London, United Kingdom
    J Magn Reson Imaging 25:208-14. 2007
    ..To quantify subtle gadolinium (Gd) enhancement (signal increase) in whole-tumor histograms and optimize their ability to predict subsequent malignant transformation in low-grade gliomas (LGGs)...
  10. ncbi Quantitative magnetic resonance of postmortem multiple sclerosis brain before and after fixation
    Klaus Schmierer
    NMR Research Unit, Institute of Neurology, University College London, Queen Square, London, UK
    Magn Reson Med 59:268-77. 2008
    ..01) whereas postfixation T(2) (r = 0.92; P < 0.01), T(1) (r = 0.89; P < 0.01), and f(B) (r = -0.86; P < 0.01) were superior. All diffusivity measures (except for D(ax) in unfixed tissue) were predictors of myelin content...
  11. ncbi Imaging cadavers: cold FLAIR and noninvasive brain thermometry using CSF diffusion
    Paul S Tofts
    Institute of Neurology, Queen Square, University College London, UK
    Magn Reson Med 59:190-5. 2008
    ..Thus, FLAIR imaging can be optimized for cadaveric brains at low and unknown temperatures, thereby improving value for autopsy purposes and facilitating comparisons with in vivo imaging...
  12. ncbi Quantitative magnetization transfer imaging in postmortem multiple sclerosis brain
    Klaus Schmierer
    Department of Brain Repair and Rehabilitation, Institute of Neurology, University College London, London, United Kingdom
    J Magn Reson Imaging 26:41-51. 2007
    ....
  13. ncbi A simple correction for B1 field errors in magnetization transfer ratio measurements
    Rebecca S Samson
    NMR Research Unit, Department of Neuroinflammation, Institute of Neurology, UCL, WC1N 3BG London, UK
    Magn Reson Imaging 24:255-63. 2006
    ..Therefore, correction schemes will differ for different MTR sequences, and new data sets would be required to calculate these different correction schemes...
  14. ncbi A method for measuring the cross sectional area of the anterior portion of the optic nerve in vivo using a fast 3D MRI sequence
    Marios C Yiannakas
    Department of Neuroinflammation, UCL Institute of Neurology, Queen Square, London, WC1N 3BG, UK
    J Magn Reson Imaging 31:1486-91. 2010
    ....
  15. ncbi Normal-appearing brain t1 relaxation time predicts disability in early primary progressive multiple sclerosis
    Francesco Manfredonia
    Department of Brain Repair and Rehabilitation, Institute of Neurology, University College London, London, England
    Arch Neurol 64:411-5. 2007
    ....
  16. ncbi Effects of formalin fixation on magnetic resonance indices in multiple sclerosis cortical gray matter
    Klaus Schmierer
    UCL Institute of Neurology, Department of Neuroinflammation, NMR Research Unit, London, United Kingdom
    J Magn Reson Imaging 32:1054-60. 2010
    ..Fixation induces tissue alterations that may confound inference of in vivo observations from MRI/histology correlation studies...
  17. ncbi Relative cerebral blood volume measurements of low-grade gliomas predict patient outcome in a multi-institution setting
    Gisele B Caseiras
    Institute of Neurology, UCL, London SW1X 0HZ, UK
    Eur J Radiol 73:215-20. 2010
    ..This study aims to determine the utility of relative cerebral blood volume (rCBV) in predicting clinical response in patients with low-grade glioma at multiple institutions...
  18. ncbi Quantitative magnetization transfer imaging in Alzheimer disease
    Basil H Ridha
    Dementia Research Centre, NMR Research Unit, and Department of Clinical and Experimental Epilepsy, Institute of Neurology, University College London, 8 11 Queen Square, London, WC1N 3BG, England
    Radiology 244:832-7. 2007
    ..To prospectively measure magnetization transfer (MT) parameters, along with established atrophy parameters, in patients with Alzheimer disease (AD) and in age- and sex-matched control subjects...
  19. ncbi Three-dimensional quantitative magnetisation transfer imaging of the human brain
    Mara Cercignani
    Department of Neuroinflammation, NMR Research Unit, Institute of Neurology, University College London, London WC1N 3 BG, UK
    Neuroimage 27:436-41. 2005
    ..Results were consistent with previous single-slice data, and parametric maps were of good quality. Further investigations are needed to interpret the regional variation of quantitative MT quantities...