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Andrew Melbourne

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Andrew Melbourne

 

Overview

My recent research has begun to develop multi-modal imaging biomarkers of future functional brain development in at-risk very preterm babies (those born at less than 32 weeks completed gestation) and to extend this work to preterm adolescents. I have helped establish the MR imaging protocols for the SPARKS funded University College Hospital preterm development project and the MRC funded EPICure@19 project. In particular I have published recent papers investigating the macroscopic cortical folding pattern at term equivalent age [2014:7] and begun investigating multi-modal imaging of infant myelination and white matter maturation on MR spectroscopy, Diffusion Weighted MR and T2 relaxometry [2014:1, 2014:6, 2013:1]. With this work I hope to investigate micro and macroscopic structural brain changes in the context of improved energetic and functional efficiency. My immediate future work will combine these results and investigate new measurements of multi-modal, multi-scale structural efficiency and compare these with separate functional neuropsychological data. This work will aid prediction of long term functional outcome and further establish the sequence of human brain growth and development at this very young age.

Previously I have worked on motion correction and pharmacokinetic modelling applied to dynamic contrast enhanced MRI in the liver and breast [2014:9, 2014:10, 2011:1, 2007:1]. Subject movement within this type of scan can be detrimental to subsequent analysis of tissue pharmacokinetics, but motion correction is made difficult by the indistinguishability of contrast change and motion artefacts [2008:1]. In this area my work focuses on image registration techniques that are able to correct motion in the presence of contrast change. This work was funded by the EPSRC Grants GR/T 20434/0 and EP/E031579/1 and the European 7th Framework Program, HAMAM, ICT-2007.5.3.

Research

Improvements in neonatal care have reduced the lowest gestational age at which survival after premature birth becomes a clinical reality, however the prevalence of disabling conditions in survivors remains high. Many conditions are thought to be related to perinatal white matter injury affecting subsequent neurological maturation often investigated by postnatal MRI. This has stimulated efforts to develop MR markers of outcome to guide mitigating treatment or therapy. As part of the SPARKS Preterm Development Project, data acquired both shortly after birth and at term equivalent age provides a unique resource that may help describe the pathway from perinatal mechanical disruption of white matter to functional deficit at term and in early years, thus guiding biomarker development. Early work has investigated to what extent diffusion MRI derived connectivity properties of white matter can be correlated with the cortical folding pattern at term [2014:7, 2012:5] and whether the cortical folding pattern itself independently describes functional neurological outcome [2012:1,2012:4,2011:2]. Investigations of this type may lead to improvements in postnatal care and treatment for high-risk premature infants in addition to providing insight into the ontological debate on the human cortical folding pattern and the theoretical links to underlying white matter structure and function.

Teaching

My key contributions to teaching in the department are continued organisation of the flagship CMIC/CABI DTP Critical Review of Key Papers in Biomedical Imaging course, developed to assess students in key research skills such as presentation, critical reading and writing. I am a key organiser of the Information Processing in Medical Imaging MSc course, preparing and giving lectures, coursework and setting/marking of the final examination and I also contribute assessed teaching and coursework to the Computational Modelling in Biomedical Imaging course. In addition I prepare a number of lectures and examination for the Physics of the Human Body Medical Physics MSci course.

Biography

I obtained a 1st Class MSci Physics degree from Imperial College London in 2005 followed by a PhD from UCL three years later investigating motion correction strategies in contrast-enhanced magnetic resonance imaging (MRI). I am now working as a Research Associate within the Centre for Medical Image Computing at University College London investigating the use of quantitative MRI in establishing the links between preterm birth and subsequent neuro-developmental outcome in babies born very preterm.

Publications

2014

[1] A. Melbourne, Z. Eaton-Rosen, A. Bainbridge, G. S. Kendall, N. Robertson, N. Marlow, S. Ourselin. In ISMRM 2014, 3253.
[2] A. Melbourne, Z. Eaton-Rosen, D. Price, E. Cady, A. Bainbridge, G. S. Kendall, N. Robertson, N. Marlow, S. Ourselin. Longitudinal imaging of the preterm brain: white matter multi-component T2 relaxometry and MR spectroscopy. In ISMRM 2014, 3265 (Oral Presentation).
[3] Zach Eaton-Rosen, Andrew Melbourne, Eliza Orasanu, Alan Bainbridge, Giles S. Kendall, Nicola J. Robertson, Neil Marlow and Sebastien Ourselin. Cortical maturation in the preterm period revealed using a multi-component diffusion-weighted MR model. In ISMRM 2014, 3465 (Oral Presentation).
[4] Zach Eaton-Rosen, Andrew Melbourne, Eliza Orasanu, Alan Bainbridge, Giles S. Kendall, Nicola J. Robertson, Neil Marlow and Sebastien Ourselin. Measurement of white matter maturation in the preterm brain using NODDI. In ISMRM 2014, 1839.
[5] Eliza Orasanu, Andrew Melbourne, M. Jorge Cardoso, Marc Modat, Andrew M. Taylor, Sudhin Thayyil, Sebastien Ourselin. Fully automated estimation of brain volumes in post-mortem newborns and fetuses.  In ISMRM 2014, 1517.
[6] Eliza Orasanu, Andrew Melbourne, M. Jorge Cardoso, Marc Modat, Andrew M. Taylor, Sudhin Thayyil, Sebastien Ourselin. Average probabilistic brain atlases for post-mortem newborn and fetal populations and application to tissue segmentation.  In ISMRM 2014, 2001.
[7] Andrew Melbourne, Giles S Kendall, Manuel J Cardoso, Roxanna Gunny, Nicola J Robertson, Neil Marlow, and Sebastien Ourselin. Preterm birth affects the developmental synergy between cortical folding and cortical connectivity observed on multimodal MRI. NeuroImage 2014 (Accepted for Publication).
[8] Kendall GS, Melbourne A, Johnson S, Price D, Bainbridge A, Gunny R, Huertas-Ceballos A, Cady EB, Ourselin S, Marlow N, Robertson NJ. White matter NAA/Cho and Cho/Cr on MRS Predict Motor Outcome in Preterm Infants. Radiology (In Press).
[9] Valentin Hamy, Nikolaos Dikaios, Shonit Punwani, Andrew Melbourne, Arash Latifoltojar, Jesica Makanyang, Manil Chouhan, Emma Helbren, Alex Menys, Stuart Taylor, and David Atkinson. Respiratory motion correction in dynamic MRI using robust data decomposition registration - application to DCE-MRI. Medical Image Analysis, 18(2):301313, 2014.
[10] Multi-modal pharmacokinetic modelling for DCE-MRI: using diffusion weighted imaging to constrain the local arterial input function. Valentin Hamy, Marc Modat, Nikos Dikaios, Jon Cleary, Shonit Punwani, Rebecca Shipley, Sebastien Ourselin, David Atkinson and Andrew Melbourne. SPIE Medical Imaging 2014 (Oral Presentation).

2013

[1] Andrew Melbourne, Zach Eaton-Rosen, Alan Bainbridge, Giles S. Kendall, M. Jorge Cardoso, Nicola J. Robertson, Neil Marlow, and Sebastien Ourselin. Measurement of myelin in the preterm brain: multi-compartment diffusion imaging and multi-component T2 relaxometry. MICCAI, Volume 8150, 2013, pp 336-344.
[2] Clarissa Garvey, Nathan Cahill, Andrew Melbourne, Christine Tanner, Sebastien Ourselin, and David Hawkes. Nonrigid image registration with two-sided space-fractional partial differential equations. In ICIP, 2013, pp 747-751
[3] A. Melbourne, G. Kendall, A. Bainbridge, M. J. Cardoso, N. Robertson, N. Marlow, and S. Ourselin. A quantitative analysis of the very preterm brain at 30 and 40 weeks gestational age; correlation of multi- component t2 relaxation and diffusion tensor anisotropy. In ISMRM, number 3591, 2013.
[4] Man Wong, Andrew Melbourne, M. Jorge Cardoso, Gemma B Northam, Sebastien Ourselin, and Torsten Baldeweg. Variegation in the adolescent cortical folding pattern in preterm and control populations. In ISMRM, number 3605, 2013. (Summa Cum Laude Merit Award).
[6] Andrew Melbourne, M. Jorge Cardoso, Giles S Kendall, Marc Modat, Nicola J Robertson, Neil Marlow, and Sebastien Ourselin. AdaPT: An adaptive preterm segmentation algorithm for neonatal brain MRI. Neuroimage, 65:97108, Jan 2013 (Joint first authorship).

2012

[1] A. Melbourne. Comment on: Automated registration of sequential breath-hold dynamic contrast-enhanced MR images: a comparison of three techniques. MRI, In Press, 2012.
[2] A. Melbourne, M. J. Cardoso, G. Kendall, N. Robertson, N. Marlow, and S. Ourselin. Adaptive neonatal MRI brain segmentation with myelinated white matter class and automated extraction of ventricles I-IV. In MICCAI Challenge on Neonatal Brain Segmentation (NeoBrainS12 Challenge), 2012.
[3] A. Melbourne, M. J. Cardoso, G. Kendall, N. Robertson, N. Marlow, and S. Ourselin. A cortical surface analysis of very preterm infants on term-equivalent age MRI. In MICCAI Workshop on Perinatal and Paediatric Imaging: PaPI 2012, 2012.
[4] A. Melbourne, G. S. Kendall, M. J. Cardoso, R. Gunney, N. J. Robertson, N. Marlow, and S. Ourselin. Radial structure in the preterm cortex; persistence of the preterm phenotype at term equivalent age? In MICCAI. Lecture Notes in Computer Science, 2012.
[5] D. Cash, A. Melbourne, M. Modat, M. J. Cardoso, M. Clarkson, N. Fox, and S. Ourselin. Cortical folding analysis on patients with Alzheimer's disease and mild cognitive impairment. In MICCAI. Lecture Notes in Computer Science, 2012.
[6] A. Melbourne, G. Kendall, M. J. Cardoso, N. Robertson, N. Marlow, and S. Ourselin. Analysing the cortical folding pattern of very preterm neonates scanned at term-equivalent age: correlations with di ffusion tensor tractography. In ISMRM, number 95, 2012.
[7] A. Melbourne, G. Kendall, M. J. Cardoso, N. Robertson, N. Marlow, and S. Ourselin. Investigating the spatial folding pattern of very preterm neonatal cortex scanned at term-equivalent age. In ISMRM, number 3158, 2012.
[8] A. Melbourne. Correcting patient movement in dynamic contrast enhanced MRI. In ISMRM Educational Session, number 4287, 2012.
[9] A. Melbourne, M. J. Cardoso, G. Kendall, N. Robertson, N. Marlow, and S. Ourselin. Outlier rejection for adaptive neonatal segmentation. In ISMRM, number 3173, 2012.
[10] V. Hamy, A. Melbourne, B.Tremoulheac, S. Punwani, and D. Atkinson. Registration of DCE-MRI using robust data decomposition. In ISMRM, number 749, 2012.
[11] A. Melbourne, N. Cahill, C. Tanner, S. Ourselin, and D. J. Hawkes. Using fractional gradient information in nonrigid image registration: application to breast MRI. In SPIE Medical Imaging, number 8314 70, 2012.

2011

[1] A. Melbourne, J. Hipwell, M. Modat, T. Mertzanidou, H. Huisman, S. Ourselin, and D. J. Hawkes. The e ffect of motion correction on pharmacokinetic parameter estimation in dynamic-contrast-enhanced MRI. Phys Med Biol, 56(24):7693{7708,
Nov 2011.
[2] A. Melbourne, G. S. Kendall, M. J. Cardoso, C. F. Hagmann, A. Bainbridge, N. Marlow, N.J. Robertson, and S. Ourselin. Automated analysis of the preterm neonatal cortex at term equivalent age and correlation with cognitive outcome at 1 year corrected age. In ESPR, 2011.
[3] M. J. Cardoso, A. Melbourne, G. S. Kendall, C. F. Hagmann, A. Bainbridge, N. Marlow, N.J. Robertson, and S. Ourselin. Adaptive neonatal brain segmentation: application to ventriculomegaly and excess extra-axial cerebral-spinal fluid. In ESPR, 2011.
[4] M. J. Cardoso, Andrew Melbourne, Giles S. Kendall, Marc Modat, Cornelia F. Hagmann, Nicola J. Robertson, Neil Marlow and Sebastien Ourselin. Adaptive neonate brain segmentation. Med Image Comput Comput Assist Interv, 14(Pt 3):378-386, 2011.
[5] A. Melbourne, J. Hipwell, M. Modat, T. Mertzanidou, H. Huisman, S. Ourselin, and D. J. Hawkes. Image registration and pharmacokinetic parameter estimation for 3d DCE-MR mammography. In ISMRM, number 3097, 2011.
[6] Y. Jafar, J. Hipwell, C. Tanner, A. Melbourne, and D. J. Hawkes. Discretisation of 3d deformation fields: Implications for establishing correspondence between 2d x-ray mammographic projections. In Proc. IEEE Int Biomedical Imaging: From Nano to Macro Symp, pages 1998{2001, 2011.
[7] A. Melbourne, N. D. Cahill, C. Tanner, and D. J. Hawkes. Image registration using an extendable quadratic regulariser. In Proc. IEEE Int Biomedical Imaging: From Nano to Macro Symp, pages 557-560, 2011.

2010

[1] A. Melbourne, J. Hipwell, and D. J. Hawkes. The effect of motion correction on pharmacokinetic parameter estimation. In International Workshop on Digital Mammography, number 6136, pages 744{751. LNCS, Springer-Verlag, 2010.
[2] A. Melbourne, D. J. Hawkes, and D. Atkinson. Data driven groupwise registration of di ffusion weighted images. In Proc. IEEE Int Biomedical Imaging: From Nano to Macro Symp, pages 352-355, 2010.
[3] A. Melbourne, G. Ridgway, and D. J. Hawkes. Image similarity metrics in image registration. In SPIE Medical Imaging, number 7623 112, 2010.

2009

[1] A. Melbourne. Alignment of Contrast Enhanced Medical Images. PhD thesis, University College London, 2009.
[2] A. Melbourne, D. Hawkes, and D. Atkinson. Image registration using uncertainty coefficients. In Proc. IEEE Int. Symp. Biomedical Imaging: From Nano to Macro ISBI '09, pages 951-954, 2009.
[3] M. J. White, D. J. Hawkes, A. Melbourne, D. J. Collins, C. Coolens, M. Hawkins, M. O. Leach, and D. Atkinson. Motion artifact correction in free-breathing abdominal MRI using overlapping partial samples to recover image deformations. Magn Reson Med, 62(2):440-449, Aug 2009.
[4] A. Melbourne, D. J. Collins, M. O. Leach, D. M. Koh, D. J. Hawkes, and D. Atkinson. Contrast enhanced image registration using kullbach-leibler assisted image matching and patching (KLAMP). In ISMRM, number 4223, 2009.
[5] A. Melbourne, M. Orton, D. J. Collins, D. M. Koh, M. O. Leach, D. J. Hawkes, and D. Atkinson. The eff ect of image registration on pharmacokinetic parameter extraction using 3d DCE-MRI. In ISMRM, number 4216, 2009.

2008

[1] A. Melbourne, D. Atkinson, and D. Hawkes. Influence of organ motion and contrast enhancement on image registration. Med Image Comput Comput Assist Interv, 11(Pt 2):948-955, 2008.
[2] A. Melbourne, D. J. Hawkes, and D. Atkinson. Non-rigid registration of di ffusion weighted MRI using progressive principal component registration (PPCR). In ISMRM, number 3097, 2008.

2007

[1] A. Melbourne, D. Atkinson, M. J. White, D. Collins, M. Leach, and D. Hawkes. Registration of dynamic contrast-enhanced mri using a progressive principal component registration (PPCR). Phys Med Biol, 52(17):5147{5156, Sep 2007.
[2] A. Melbourne, D. Atkinson, M. J. White, D. J. Collins, M. O. Leach, and D. J. Hawkes. Registration of dynamic contrast enhanced MRI using a progressive principal component registration (ppcr). In ISMRM, number 522, 2007.
[3] A. Melbourne, D. Atkinson, M. J. White, D. J. Collins, M. O. Leach, and D. J. Hawkes. Using registration to quantify the consistency of whole liver position during patient breath-hold in dynamic contrast-enhanced MRI. In ISMRM, number 3709, 2007.

Contact Details
Centre for Medical Image Computing,
University College London,
3rd Floor, Engineering Front Building,
Malet Place,
London WC1E 6BT
United Kingdom
 
Tel: +44 (0)20 7679 0221 TBA (Direct Dial)
Fax: +44 (0)20 7387 1397
Email: a.melbourne(at)cs.ucl.ac.uk

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