Imaging Biomarkers

Very premature children are at risk of learning difficulties in childhood that are underpinned by slow processing of information and poor everyday memory.  We wish to find out how measureable these are in infancy and whether they relate to brain growth after birth, In collaboration with the UCL Institute for Women’s Health (G. Kendall, N. Marlow, N. Robertson) we are developing novel robust MR biomarkers to speed up clinical translation of neuroprotective agents which will have a positive benefit to the neurocognitive outcome of the premature children (led by Andrew Melbourne, with current PhD students Eliza Orasanu and Zach Eaton-Rosen). This project encompasses MR imaging data from both  the very young (SPARKS) and from adolescents (EPICure@19) in order to better understand both the dynamic changes in brain development after premature birth and the long-term developmental consequences seen in early adulthood.

 

The Preterm Image Analysis Team

 

      Andrew Melbourne           Zach Eaton-Rosen             Eliza Orasanu

 

                                       20140923 122143 small David Owen           pic tigMichael Hutel

 

 

We co-organised a 2016 MICCAI satellite workshop on Perinatal, Preterm and Paediatric Image Analysis on 21st October 2016

 

 

News (full publication list below)

8th March 2017: Read Eliza's CDT interview for International Women's Day here.

6th February 2017: Eliza has successfully defended her PhD - many congratulations!

31st January 2017: The Preterm Imaging Team have had accepted 6 abstracts at this year's ISMRM on preterm and perinatal imaging.

24th December 2016: Zach and Eliza have both submitted PhD's!

26th October 2016: You can read a wrap up of our work at MICCAI 2016 at this link.

21st October 2016: Andrew Melbournepresented work at the PIPPI 2016 MICCAI workshop.

21st October 2016: The Preterm Imaging Team co-organised a successful PIPPI 2016 MICCAI workshop!

19th October 2016: Eliza OrasanuZach Eaton-Rosen presented posters at MICCAI 2016 on multi-modal spectral matching and partial volume correction.

7th October 2016: Eliza Orasanu is a finalist in the UCL Dept. of Medical Physics and Biomedical Engineering Best Paper Prize.

5th September 2016: We are presenting a number of pieces of work at this year's MICCAI in Athens.

23rd May 2016: You can read a wrap up of our presentations at ISMRM at this link.

13th May 2016: Work by Eliza Orasanu is awarded 1st place in the ISMRM 2016 Paediatric Study Group.

11th May 2016:Work by Eliza Orasanu is awarded 3rd place in the ISMRM 2016 White Matter Study Group.

9th-13th May 2016: Andrew, Eliza, Zach and Michael each presented work on imaging prematurity at this years ISMRM.

25th April 2016: We are co-organising the MICCAI satellite workshop on Perinatal, Preterm and Paediatric Image Analysis (PIPPI).

24th April 2016: Andrew ran the Virgin London Marathon in 2:58:22.

22nd March 2016: We recently published work in HBM on g-ratio measurment in our neonatal cohort.

17th March 2016: Eliza presented her work on tensor-based spectral matching at the Mind, Brain and Body Symposium in Berlin.

27th February 2016: Zach presented his work on extracting region-based parameter estimates from DWI at SPIE Medical Imaging in San Diego.

3rd February 2016: Nine pieces of work applied to our two neonatal and adolescent cohorts have been accepted for this year's ISMRM in Singapore - we are excited about presenting our work there in May!

1st January 2016: We recently published work on the EPICure@19 cohort in MRI on T2 relaxometry

5th October 2015: We presented at MICCAI 2015 in Munich on adolescent extremely-preterm cerebral microstruture and blood flow and on Spectral Matching driven Diffusion Tensor registration of preterm neonates.

1st May 2015: We recently published in NeuroImage on grey-matter change in the preterm cortex and thalamus using multi-compartment diffusion MRI

 

Current Neonatal Research at UCL

Research Overview

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 funded 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.

Brain_devb.jpg

 

Neonatal diffusion-weighted MR imaging

Diffusion-weighted MR imaging (DWI) has the potential to reveal much about the changes in structure of the developing preterm brain. Dominant radial cortical organsiation in the cortex is lost during this period during dendritic arborisation, whilst Fractional Anistropy (FA) measured by DWI in underlying white matter regions of connectivity increases. This increase comes in advance of the presense of substantial quantities of myelin which develops in a well defined pattern over the first two years of life. From left to right: thalamic tractography for the same infant at 30 and 40 weeks equivalent gestational age (EGA) [2014:2]; colour-code FA maps at 30 weeks EGA demonstrating high cortical FA [2012:3]; FA maps overlaid with the measured Myelin Water Fraction (MWF) from T2 relaxometry [2014:1, 2013:1]. 

   thalamus.png    diffusionall.png  myelin.png

Cortical folding analysis from neonatal MRI

Changes in the cortical folding pattern between 30 and 40 weeks EGA can be measured using MRI. The cortical appearance changes substnatially in the last 10 weeks of gestation, moving from a smooth lissencephalic state to one that has many of the charteristic adult folds present. Preterm brain segmentation [2013:4] can be used to anlayse the preterm cortical folding pattern [2014:10]

cortical_illustration.png

 

 

 

MICCAI 2015

We presented two pieces of work at this year's MICCAI, 5-9th October 2015 in Munich, Germany. These included an oral presentation on diffusion-tensor spectral mathcing in the preterm brain at the Spatiotemporal Image Analyis Workshop and one main conference poster presentation on correlaitons between cerebral blood flow and diffusion MRI (click here for poster).

 

 

MICCAI 2014

We presented three pieces of work at this year's MICCAI, 14-19th September 2014 in Boston, USA. These included an oral presentation on pre-frontal cortical folding of the preterm brain at the Spatiotemporal Image Analyis Workshop and two main conference poster presentations for papers on preterm g-ratio estimation (click here for poster) and longitudinal preterm thalamus development (click here for poster).

 

miccaigroup

 

 

ISMRM 2014

We presented some recent work at  this year's ISMRM 9-17th May 2014. These included oral presentations on longitudinal white (abstract 460) and grey matter (abstract 80) development.

[1] Measurement of the myelin-to-axon diameter g-ratio in very-preterm infants using multi-modal MRI. In ISMRM 2014, 4670.
[2] Longitudinal imaging of the preterm brain: white matter multi-component T2 relaxometry and MR spectroscopy. In ISMRM 2014, 460 (Oral Presentation).
[3] Cortical maturation in the preterm period revealed using a multi-component diffusion-weighted MR model. In ISMRM 2014, 80 (Oral Presentation).
[4] Measurement of white matter maturation in the preterm brain using NODDI. In ISMRM 2014, 3512.
[5] Fully automated estimation of brain volumes in post-mortem newborns and fetuses.  In ISMRM 2014, 1517.
[6] Average probabilistic brain atlases for post-mortem newborn and fetal populations and application to tissue segmentation.  In ISMRM 2014, 2001.

 

Publications

Cohort: EPICure@19 PDP3(neonatal) PDP1.5(neonatal) Other

2017
[1] Andrew Melbourne, Rosalind Pratt, Magdalena Sokolska, David Owen, Alan Bainbridge, David Atkinson, Giles Kendall, Jan Deprest, Tom Vercauteren, Anna David, and Sebastien Ourselin. Decide: Diffusion-relaxation combined imaging for detailed placental evaluation. Accepted for ISMRM, 2017.
[2] Michael Hutel, Andrew Melbourne, Joanne Beckmann, Jonathan Rohrer, Neil Marlow, and Sebastien Ourselin. Resting-state network patterns in extremely preterm born young adults. Accepted for ISMRM, 2017.
[3] Michael Hutel, Andrew Melbourne, Dave Thomas, Jonathan Rohrer, and Sebastien Ourselin. Retrospective independent component estimation of respiratory and cardiac artefact residuals (ricercar) in bold-fmri. Accepted for ISMRM, 2017.
[4] David Owen, Andrew Melbourne, Magdalena Sokolska, David L Thomas, Jonathan Rohrer, and Sebastien Ourselin. Bayesian experimental design for multi-parametric t1/t2 relaxometry and diffusion. Accepted for ISMRM, 2017.
[5] D. Owen, A. Melbourne, D. L. Thomas, J. Beckmann, J. Rohrer, N. Marlow, and S. Ourselin. Adrimo: Anatomy-driven modelling of spatial correlation to improve analysis of arterial spin labelling data. Accepted for ISMRM, 2017.
 
2016
[1] Zach Eaton-Rosen, Andrew Melbourne, M. Jorge Cardoso, Neil Marlow, and Sebastien Ourselin. Beyond the resolution limit: diffusion parameter estimation in partial volume. In MICCAI, 2016.
[2] Eliza Orasanu, Pierre-Louis Bazin, Andrew Melbourne, Marco Lorenzi, Herve Lombaert, Nicola Robertson, Giles Kendall, Nicolaus Weiskopf, Neil Marlow, and Sebastien Ourselin. Longitudinal analysis of the preterm cortex using multi-modal spectral matching. In MICCAI, 2016.
[3] Andrew Melbourne, Rosalind Pratt, David Owen, Magdalena Sokolska, Alan Bainbridge, David Atkinson, Tom Vercauteren, Giles Kendall, Jan Deprest, Anna L. David, and Sebastien Ourselin. Placental image analysis using coupled diffusion-weighted and multi-echo t2 mri and a multi-compartment model. In Perinatal, Preterm and Paediatric Image Analysis Workshop (PIPPI), 2016.
[4] Andrew Melbourne, Zach Eaton-Rosen, Eliza Orasanu, Joanne Beckmann, David Atkinson, Neil Marlow, and Sebastien Ourselin. Analysis of brain tissue volume and composition in an extremely-preterm born adolescent cohort. In Perinatal, Preterm and Paediatric Image Analysis Workshop (PIPPI), 2016.
[5] Eliza Orasanu, Andrew Melbourne, M. Jorge Cardoso, Herve Lombaert, Giles S. Kendall, Nicola J. Robert- son, Neil Marlow, and Sebastien Ourselin. Cortical folding of the preterm brain: a longitudinal analysis of extremely-preterm born neonates using spectral matching. Brain and Behavior, In Press, 2016.
[6] Melbourne, A.; Eaton-Rosen, Z.; Orasanu, E.; Price, D.; Bainbridge, A.; Cardoso, M. J.; Kendall, G. S.; Robertson, N. J.; Marlow, N. & Ourselin, S. Longitudinal development in the preterm thalamus and posterior white matter; MRI correlations between Diffusion Weighted Imaging and T2 relaxometry. Human Brain Mapping, 2016, Epub.
[7] Andrew Melbourne, Eliza Orasanu, Zach Eaton-Rosen, Manuel J Cardoso, Joanne Beckmann, Lorna Smith, David Atkinson, Neil Marlow, and Sebastien Ourselin. Analysis of brain volume in a 19 year-old extremely- preterm born cohort. Accepted for ISMRM, 2016.
[8] Andrew Melbourne, Zach Eaton-Rosen, Eliza Orasanu, Joanne Beckmann, Alexandra Saborowska, David Atkinson, Neil Marlow, and Sebastien Ourselin. Perfusion and diffusion in the extremely preterm young adult thalamus. Accepted for ISMRM, 2016.
[9] Andrew Melbourne, Eliza Orasanu, Zach Eaton-Rosen, Joanne Beckmann, Alexandra Saborowska, David Atkinson, Neil Marlow, and Sebastien Ourselin. Characterizing microstructure and shape of the extremely preterm 19 year-old corpus callosum. Accepted for ISMRM, 2016.
[10] Eliza Orasanu, Andrew Melbourne, Zach Eaton-Rosen, David Atkinson, Joshua Lawan, Joanne Beckmann, Neil Marlow, and Sebastien Ourselin. Local shape analysis of the thalamus in extremely preterm born young adults. Accepted for ISMRM, 2016.
[11] Eliza Orasanu, Andrew Melbourne, Zach Eaton-Rosen, David Atkinson, Alexandra Saborowska, Joanne Beckmann, Neil Marlow, and Sebastien Ourselin. Cortical folding patterns in extremely preterm born young adults. Accepted for ISMRM, 2016.
[12] Eliza Orasanu, Andrew Melbourne, Marc Modat, Marco Lorenzi, Herve Lombaert, Zach Eaton-Rosen, Nicola Robertson, Giles Kendall, Neil Marlow, and Sebastien Ourselin. Mapping longitudinal white matter changes in extremely preterm born infants. In Accepted for ISMRM, 2016.
[13] Zach Eaton-Rosen, Andrew Melbourne, Eliza Orasanu, Joanne Beckmann, Nicola Stevens, David Atkinson, Neil Marlow, and Sebastien Ourselin. White matter alterations in young adults born extremely preterm: a microstructural point of view. Accepted for ISMRM, 2016.
[14] Michael Hutel, Andrew Melbourne, David Thomas, Jon Rohrer, and Sebastien Ourselin. The hidden heart rate in the slice-wise bold-fmri global signal. Accepted for ISMRM, 2016.
[15] I. Huen, J. Beckmann, Y. Suzuki, M. Zuluaga, A. Melbourne, M. van Osch, D. Atkinson, S. Ourselin, N. Marlow N., and X. Golay. Measurement of bolus arrival time and velocity in circle of willis using dynamic mr angiography. Accepted for ISMRM, 2016.

[16] Dingwall, N.; Chalk, A.; Martin, T. I.; Scott, C. J.; Semedo, C.; Le, Q.; Orasanu, E.; Cardoso, J. M.; Melbourne, A.; Marlow, N. & Ourselin, S. T2 relaxometry in the extremely-preterm brain at adolescence Magnetic Resonance Imaging, 2016, Accepted for Publication
[17] Eaton-Rosen, Z.; Melbourne, A.; Cardoso, M. J.; Bainbridge, A.; Kendall, G. S.; Robertson, N. J.; Marlow, N. & Ourselin, S. Fitting parametric models of diffusion MRI in regions of partial volume. SPIE Medical Imaging, 2016

2015

[1] E. Orasanu, A. Melbourne, M. Lorenzi, H. Lombaert, Z. Eaton-Rosen, G. S. Kendall, N. J. Robertson, N. Marlow, and S. Ourselin. Tensor Spectral Matching of Diffusion Weighted Images. Workshop on Spectral Analysis in Medical Imaging (SAMI), MICCAI, 2015.
[2] I. Huen, J. Beckmann, Y. Suzuki, M.A. Zuluaga, A. Melbourne, M.J.P. van Osch, D. Atkinson, S. Ourselin, N. Marlow, and X. Golay. Does extreme prematurity affect adult brain vessel compliance? a preliminary mri study. In Proceedings of Brain, 2015.
[3] I. Huen, J. Beckmann, Y. Suzuki, M.A. Zuluaga, A. Melbourne, M.J.P. van Osch, D. Atkinson, S. Ourselin, N. Marlow, and X. Golay. Does extreme prematurity affect adult brain vessel compliance? In Proceedings of ESMRMb, 2015.
[4] Melbourne, A.; Eaton-Rosen, Z.; Owen, D.; Cardoso, J.; Beckmann, J.; Atkinson, D.; Marlow, N. & Ourselin, S. Measuring cortical neurite-dispersion and perfusion in preterm-born adolescents using multi-modal MRI. Lecture Notes in Computer Science pp 72-79, Volume 9351, MICCAI, 2015
[5] M.J. Cardoso, M. Modat, R. Wolz, A. Melbourne, D. Cash, D. Rueckert, S. Ourselin. Geodesic Information Flows: Spatially-Variant Graphs and Their Application to Segmentation and Fusion. IEEE Trans. Medical Imaging, Volume:PP Issue:99 DOI:10.1109/TMI.2015.2418298.
[6] Zach Eaton-Rosen, Andrew Melbourne, Eliza Orasanu, M. Jorge Cardoso, Alan Bainbridge, Giles S. Kendall, Nicola J. Robertson, Neil Marlow, and Sebastien Ourselin. Longitudinal measurement of the developing grey matter in preterm subjects using multi-modal MRI. Neuroimage, 2015, 111, 580-589.
[7] Eliza Orasanu, Andrew Melbourne, M. Jorge Cardoso, Marc Modat, Andrew M. Taylor, Sudhin Thayyil, Sebastien Ourselin. Brain volume estimation from post-mortem newborn and fetal MRI. NeuroImage: Clinical. 6: 438–444, 2014.
[8] Isgum, I.; Benders, M. J. N. L.; Avants, B.; Cardoso, M. J.; Counsell, S. J.; Gomez, E. F.; Gui, L.; Huppi, P. S.; Kersbergen, K. J.; Makropoulos, A.; Melbourne, A.; Moeskops, P.; Mol, C. P.; Kuklisova-Murgasova, M.; Rueckert, D.; Schnabel, J. A.; Srhoj-Egekher, V.; Wu, J.; Wang, S.; de Vries, L. S. & Viergever, M. A. Evaluation of automatic neonatal brain segmentation algorithms: the NeoBrainS12 challenge. Med Image Anal, 2015, 20, 135-151

2014

[1] Eliza Orasanu, Andrew Melbourne, M. Jorge Cardoso, Marc Modat, Andrew M. Taylor, Sudhin Thayyil, Sebastien Ourselin. Brain volume estimation from post-mortem newborn and fetal MRI. NeuroImage: Clinical. 6: 438–444 2014
[2] E. Orasanu, A. Melbourne, H. Lombaert, M. J. Cardoso, S. Johnsen, G. S. Kendall, N. J. Robertson, N. Marlow, and S. Ourselin. Pre-frontal cortical folding of the preterm brain: a longitudinal analysis of preterm-born neonates. In Workshop on Spatiotemporal Image Analysis for Longitudinal and Time-Series Image Data, MICCAI, 2014.
[3] A. Melbourne, Z. Eaton-Rosen, E. De Vita, A. Bainbridge, M. J. Cardoso, D. Price, E. Cady, G. S. Kendall, N. J. Robertson, N. Marlow, and S. Ourselin. Multi-modal measurement of the myelin-to-axon diameter g-ratio in preterm-born neonates and adult controls. In MICCAI. Lecture Notes in Computer Science 8677, pp 268-275, 2014.
[4] Z. Eaton-Rosen, A. Melbourne, E. Orasanu, M. Modat, A. Bainbridge, M. J. Cardoso, G. S. Kendall, N. J. Robertson, N. Marlow, and S. Ourselin. Longitudinal measurement of the developing thalamus in the very-preterm brain using multi-modal MRI. In MICCAI. Lecture Notes in Computer Science 8674, pp 276-283, 2014.
[5] Andrew Melbourne, Z. Eaton-Rosen, A. Bainbridge, G. S. Kendall, N. Robertson, N. Marlow, S. Ourselin. Measurement of the myelin-to-axon diameter g-ratio in very-preterm infants using multi-modal MRI. In ISMRM 2014, 4670.
[6] Andrew 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, 460 (Oral Presentation).
[7] 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, 80 (Oral Presentation).
[8] 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, 3512.
[9] 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.
[10] 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.
[11] 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 Apr 1;89:23-34.
[12] Kendall GS, Andrew Melbourne, 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 Apr;271(1):230-8.

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] 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.
[3] 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).
[4] 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, 65:97–108, Jan 2013 (Joint first authorship).

2012

[1] 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.
[2] 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.
[3] 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.
[4] 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 diffusion tensor tractography. In ISMRM, number 95, 2012.
[5] 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.
[6] 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.

2011
[1] 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.
[2] 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.
[3] 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.