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• Journal article
  Tunnicliffe EM, Scott AD, Ferreira P, Ariga R, McGill LA, Nielles-Vallespin S, Neubauer S, Pennell DJ, Robson MD, Firmin Det al., 2014,

  Inter-centre reproducibility of cardiac diffusion tensor measures

  , Journal of Cardiovascular Magnetic Resonance, Vol: 16, ISSN: 1097-6647
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• Conference paper
  Yang G, Raschke F, Barrick TR, Howe FAet al., 2014,

  Classification of brain tumour 1H MR spectra: Extracting features by metabolite quantification or nonlinear manifold learning?

  , IEEE The International Symposium on Biomedical Imaging (ISBI), Publisher: The Institute of Electrical and Electronics Engineers (IEEE), Pages: 1039-1042

  © 2014 IEEE. Proton magnetic resonance spectroscopy (1H MRS) provides non-invasive information on brain tumour biochemistry. Many studies have shown that 1H MRS can be used in an objective decision support system, which gives additional diagnosis and prognostic information to the data obtained using conventional radiological modalities. Fully automatic analyses of 1H MRS have been previously applied and can be separated into two types: (i) model dependent signal quantification followed by pattern recognition (PR), or (ii) model independent PR methods. However, there is not yet a consensus as to the best techniques of MRS post-processing or feature extraction to be used for optimum classification. In this study, we analysed the single-voxel MRS acquisitions of 74 patients with histologically diagnosed brain tumours. Our classification results show that the model independent nonlinear manifold learning method can produce superior results to those of using model dependent metabolite quantification.

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• Journal article
  Tunnicliffe EM, Scott AD, Ferreira P, Ariga R, McGill L-A, Nielles-Vallespin S, Neubauer S, Pennell DJ, Robson MD, Firmin DNet al., 2014,

  Intercentre reproducibility of cardiac apparent diffusion coefficient and fractional anisotropy in healthy volunteers

  , Journal of Cardiovascular Magnetic Resonance, Vol: 16, Pages: 31-31
  • Cite
• Journal article
  Ismail TF, Hsu L-Y, Greve AM, Gonçalves C, Jabbour A, Gulati A, Hewins B, Mistry N, Wage R, Roughton M, otherset al., 2014,

  Coronary microvascular ischemia in hypertrophic cardiomyopathy-a pixel-wise quantitative cardiovascular magnetic resonance perfusion study

  , Journal of Cardiovascular Magnetic Resonance, Vol: 16, Pages: 49-49
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• Journal article
  Ferreira P, Kilner PJ, McGill L-A, Nielles-Vallespin S, Scott AD, Spottiswoode BS, Zhong X, Ho SY, McCarthy K, Ismail T, otherset al., 2014,

  Aberrant myocardial sheetlet mobility in hypertrophic cardiomyopathy detected using in vivo cardiovascular magnetic resonance diffusion tensor imaging

  , Journal of Cardiovascular Magnetic Resonance, Vol: 16, Pages: P338-P338
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• Journal article
  McGill L-A, Ferreira P, Scott AD, Nielles-Vallespin S, Silva R, Kilner PJ, Firmin D, Pennell DJet al., 2014,

  Comparison of cardiac DTI parameters between systole and diastole

  , Journal of Cardiovascular Magnetic Resonance, Vol: 16, Pages: P39-P39
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• Journal article
  Park DJ, Bangerter NK, Javed A, Kaggie J, Khalighi MM, Morrell GRet al., 2013,

  A statistical analysis of the Bloch–Siegert<i>B</i>₁mapping technique

  , Physics in Medicine and Biology, Vol: 58, Pages: 5673-5691, ISSN: 0031-9155
  • Publisher Web Link
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• Journal article
  Malcolme-Lawes LC, Juli C, Karim R, Bai W, Quest R, Lim PB, Jamil-Copley S, Kojodjojo P, Ariff B, Davies DW, Rueckert D, Francis DP, Hunter R, Jones D, Boubertakh R, Petersen SE, Schilling R, Kanagaratnam P, Peters NSet al., 2013,

  Automated analysis of atrial late gadolinium enhancement imaging that correlates with endocardial voltage and clinical outcomes: A 2-center study

  , HEART RHYTHM, Vol: 10, Pages: 1184-1191, ISSN: 1547-5271
  • Author Web Link
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  • Citations: 120
• Journal article
  Jordan CD, Saranathan M, Bangerter NK, Hargreaves BA, Gold GEet al., 2013,

  Musculoskeletal MRI at 3.0T and 7.0T: A comparison of relaxation times and image contrast

  , European Journal of Radiology, Vol: 82, Pages: 734-739, ISSN: 0720-048X
  • Publisher Web Link
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• Journal article
  Gale C, Jeffries S, Logan KM, Chappell KE, Uthaya SN, Modi Net al., 2013,

  Avoiding sedation in research MRI and spectroscopy in infants: our approach, success rate and prevalence of incidental findings

  , ARCHIVES OF DISEASE IN CHILDHOOD-FETAL AND NEONATAL EDITION, Vol: 98, Pages: F267-F268, ISSN: 1359-2998
  • Author Web Link
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  • Citations: 33

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