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• Journal article
  Jarman JWE, Wong T, Kojodjojo P, Spohr H, Davies JER, Roughton M, Francis DP, Kanagaratnam P, O'Neill MD, Markides V, Davies DW, Peters NSet al., 2014,
  , JOURNAL OF CARDIOVASCULAR ELECTROPHYSIOLOGY, Vol: 25, Pages: 355-363, ISSN: 1045-3873
  • Cite
  • Citations: 28
• Journal article
  Dias P, Desplantez T, El-Harasis MA, Chowdhury RA, Ullrich ND, de Diego AC, Peters NS, Severs NJ, MacLeod KT, Dupont Eet al., 2014,
  , PLOS ONE, Vol: 9, ISSN: 1932-6203
  • Cite
  • Citations: 31
• Journal article
  Kyriacou A, Pabari PA, Mayet J, Peters NS, Davies DW, Lim PB, Lefroy D, Hughes AD, Kanagaratnam P, Francis DP, Whinnett ZIet al., 2014,
  , INTERNATIONAL JOURNAL OF CARDIOLOGY, Vol: 171, Pages: 144-152, ISSN: 0167-5273
  • Cite
  • Citations: 15
• Journal article
  Cantwell CD, Yakovlev S, Kirby RM, Peters NS, Sherwin SJet al., 2014,
  , Journal of Computational Physics, Vol: 257, Pages: 813-829, ISSN: 0021-9991

  We present a numerical discretisation of an embedded two-dimensional manifold using high-order continuous Galerkin spectral/hp elements, which provide exponential convergence of the solution with increasing polynomial order, while retaining geometric flexibility in the representation of the domain. Our work is motivated by applications in cardiac electrophysiology where sharp gradients in the solution benefit from the high-order discretisation, while the compu- tational cost of anatomically-realistic models can be reduced through the surface representation. We describe and validate our discretisation and provide a demonstration of its application to modeling electrochemical propagation across a human left atrium.

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• Journal article
  Jamil-Copley S, Linton N, Koa-Wing M, Kojodjojo P, Lim PB, Malcolme-Lawes L, Whinnett Z, Wright I, Davies W, Peters N, Francis DP, Kanagaratnam Pet al., 2013,
  , JOURNAL OF CARDIOVASCULAR ELECTROPHYSIOLOGY, Vol: 24, Pages: 1361-1369, ISSN: 1045-3873
  • Cite
  • Citations: 29
• Journal article
  Dhillon PS, Gray R, Kojodjojo P, Jabr R, Chowdhury R, Fry CH, Peters NSet al., 2013,
  , CIRCULATION-ARRHYTHMIA AND ELECTROPHYSIOLOGY, Vol: 6, Pages: 1208-1214, ISSN: 1941-3149
  • Cite
  • Citations: 54
• Journal article
  Walsh R, Peters NS, Cook SA, Ware JSet al., 2013,
  , Journal of Medical Genetics, Vol: 51, Pages: 35-44, ISSN: 1468-6244

  Background Distinguishing genetic variants that causedisease from variants that are rare but benign is one ofthe principal challenges in contemporary clinicalgenetics, particularly as variants are identified at a paceexceeding the capacity of researchers to characterisethem functionally.Methods We previously developed a novel method,called paralogue annotation, which accurately andspecifically identifies disease-causing missense variants bytransferring disease-causing annotations across families ofrelated proteins. Here we refine our approach, and applyit to novel variants found in 2266 patients across twolarge cohorts with inherited sudden death syndromes,namely catecholaminergic polymorphic ventriculartachycardia (CPVT) or Brugada syndrome (BrS).Results Over one third of the novel non-synonymousvariants found in these studies, which would otherwisebe reported in a clinical diagnostics setting as ‘variants ofunknown significance’, are categorised by our method aslikely disease causing (positive predictive value 98.7%).This identified more than 500 new disease loci for BrSand CPVT.Conclusions Our methodology is widely transferableacross all human disease genes, with an estimated150 000 potentially informative annotations in more than1800 genes. We have developed a web resource thatallows researchers and clinicians to annotate variantsfound in individuals with inherited arrhythmias,comprising a referenced compendium of known missensevariants in these genes together with a user-friendlyimplementation of our approach. This tool will facilitatethe interpretation of many novel variants that mightotherwise remain unclassified.

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• Journal article
  Kyriacou A, Wa MELK, Pabari PA, Unsworth B, Baruah R, Willson K, Peters NS, Kanagaratnam P, Hughes AD, Mayet J, Whinnett ZI, Francis DPet al., 2013,
  , INTERNATIONAL JOURNAL OF CARDIOLOGY, Vol: 167, Pages: 954-964, ISSN: 0167-5273
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  • Citations: 7
• 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,
  , HEART RHYTHM, Vol: 10, Pages: 1184-1191, ISSN: 1547-5271
  • Cite
  • Citations: 120
• Journal article
  Bai W, Shi W, O'Regan DP, Tong T, Wang H, Jamil-Copley S, Peters NS, Rueckert Det al., 2013,
  , IEEE Transactions on Medical Imaging, Vol: 32, Pages: 1302-1315, ISSN: 0278-0062

  The evaluation of ventricular function is important for the diagnosis of cardiovascular diseases. It typically involves measurement of the left ventricular (LV) mass and LV cavity volume. Manual delineation of the myocardial contours is time-consuming and dependent on the subjective experience of the expert observer. In this paper, a multi-atlas method is proposed for cardiac magnetic resonance (MR) image segmentation. The proposed method is novel in two aspects. First, it formulates a patch-based label fusion model in a Bayesian framework. Second, it improves image registration accuracy by utilizing label information, which leads to improvement of segmentation accuracy. The proposed method was evaluated on a cardiac MR image set of 28 subjects. The average Dice overlap metric of our segmentation is 0.92 for the LV cavity, 0.89 for the right ventricular cavity and 0.82 for the myocardium. The results show that the proposed method is able to provide accurate information for clinical diagnosis.

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