Dr Christina Malamateniou

Postgraduate Programme director (taught and research) for Radiography

School of Health & Psychological Sciences Department of Midwifery and Radiography

Contact details

Address

Dr Christina Malamateniou M125, Myddelton Street Building
City, University of London
Northampton Square
London EC1V 0HB
United Kingdom

Personal links

Researchgate

About
Research
Publications

About

Overview

Christina has worked as an academic and researcher in Medical Imaging for the last 19 years, having worked previously as an MRI radiographer in the University Hospital of Athens, Greece, where she qualified. She was awarded her PhD from imperial College London, having carried out her research on perinatal MRI at the Robert Steiner MRI Unit at Hammersmith Hospital. She has received the clinical MRI prize and Leonard Levy prize of the British Institute of Radiology for her research presented at UKRC in 2006.

She has taught Medical Imaging and Research Methods in 7 different Universities and 3 countries (acting as visiting lecturer at ATEI of Athens, Greece and UCD Ireland) and she has been an invited/keynote speaker at many key medical imaging conferences in the UK, Greece, other European countries and the USA on many different occasions. Christina is a Senior Fellow of the Higher education academy since 2018.

She remains visiting lecturer of different postgraduate medical imaging courses at King's College London since 2016 and guest lectured at UCL in 2018. She is currently director for the postgraduate programme in Radiography and supervises master's and PhD students.

Christina has held many leadership positions at the European Congress of Radiology since 2004, including leading the Radiographers' Scientific programme Committee as Chair for 2016. She is also the Research Committee Vice-chair for the European Federation of Radiographer Societies and the steering committee lead for the Formal Radiography Research Mentoring (FoRRM) scheme funded by the Society and College of Radiographers since 2017 [https://www.collegeofradiographers.ac.uk/research-grants-and-funding/research-(1)/formal-radiography-research-mentoring-(forrm) ]. She is currently the chair of the AI working group of the Society and College of Radiographers.

She is an MRI expert, having worked extensively in brain MRI, perinatal MRI, placental MRI and high field MRI research studies at Imperial college, University of Liverpool, King's College London. She has also a keen interest in clinical education, research mentoring and research capacity building for healthcare practitioners. She accepts PhD students in any of the above research fields.

Christina has presented her research nationally and internationally and published extensively at many high impact factor journals since 2004. She has received research funding as a co-applicant or main applicant of a total £2.8mi, and is actively involved in improving professional practice and research capacity in radiography through her many leadership positions and research networks.

Christina has co-authored national guidelines on
i) perinatal MRI (with the British Association of Perinatal Medicine, https://www.bapm.org/resources/33-fetal-neonatal-brain-magnetic-resonance-imaging-clinical-indications-acquisitions-and-reporting),
ii) patient and public engagement with research (with the Society and College of Radiographers, (https://www.sor.org/news/people/patient-and-public-partnership-in-research) and
iii) on artificial intelligence in radiography, ( https://www.sor.org/learning-advice/professional-body-guidance-and-publications/documents-and-publications/policy-guidance-document-library/artificial-intelligence-guidance-for-clinical-imag).

She has participated in many local outreach events of different primary schools in London talking about the profession and her research.

She has also worked as a research consultant in Greece, Ireland and UK, to establish fetal MRI services at state and private maternity hospitals, such as the Mitera Maternity Hospital of Athens and the National Maternity Hospital in Ireland, who remain research collaborators.

Her current research involves fetal MRI with King's College London, simulated practice with University of Greenwich, Research mentoring with the Society and college of Radiographers, cardiovascular MRI with Oxford University, and MRI in autism with the autism group at City University, UCL and University of Bedfordshire and many research collaborators nationally and internationally.

Qualifications

Senior Fellow, Higher Education Academy, Jul 2018
Diagnostic Radiographer, HCPC, Mar 2018 – Mar 2020
Senior Associate, Royal Society of Medicine
Member and co-opted research group member, Society and College of Radiographers
PhD, Imperial College London, United Kingdom
MA Clinical Education, King's College London, United Kingdom
BSc (Hons) Diagnostic Radiography, Technological Educational Institute of Athens, Greece

Languages

French (can read, write, speak and understand spoken), German (can read and write) and Greek, Modern (1453-) (can read, write, speak, understand spoken and peer review).

Research students

2^nd supervisor

Emily Skelton, Research Student

Publications

Publications by category

Conference papers and proceedings (15)

Willis, S., Malamateniou, C., Khandakar, A. and Bensalah, S. (2019). Student-centred blended learning approaches for student success. City Learning and Teaching conference London.
Matthew, J., Knight, C., Malamateniou, C., Pasupathy, D. and Rutherford, M. (2017). Fetal biometry and estimated fetal weight in the second trimester: A comparison of intra- and interobserver agreement and variability using ultrasound and magnetic resonance imaging with two-dimensional measurements and three-dimensional whole fetal volume techniques.
Lloyd, D.F.A., van Amerom, J.P., Pushparajah, K., Simpson, J., Zidere, V., Miller, O. … Razavi, R. (2016). P22 Early experience of multi-sequence fetal cardiac magnetic resonance imaging within a clinical fetal cardiology service.
Alansary, A., Kamnitsas, K., Davidson, A., Khlebnikov, R., Rajchl, M., Malamateniou, C. … Kainz, B. (2016). Fast Fully Automatic Segmentation of the Human Placenta from Motion Corrupted MRI.
Kainz, B., Malamateniou, C., Ferrazzi, G., Murgasova, M., Egger, J., Keraudren, K. … Rueckert, D. (2015). Adaptive scan strategies for fetal MRI imaging using slice to volume techniques. 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI 2015) 16-19 April.
van Amerom, J., Malamateniou, C., Pushparajah, K., Fox, M., Allsop, J., Rutherford, M. … Razavi, R. (2015). In utero assessment of congenital heart disease by MRI: preliminary experience.
Routledge, E., Davidson, A., Allsop, J., Fox, M., Hajnal, J., Malamateniou, C. … Rutherford, M. (2015). Optimisation of MR imaging for the evaluation of placenta: preliminary results.
Pegoretti, K., Arulkumaran, S., Allsop, J., Fox, M., Davidson, A., Patkee, P. … Malamateniou, C. (2015). Fetal MRI at 3T: how to make it work.
Kainz, B., Alansary, A., Malamateniou, C., Keraudren, K., Rutherford, M., Hajnal, J.V. … Rueckert, D. (2015). Flexible Reconstruction and Correction of Unpredictable Motion from Stacks of 2D Images.
Bowles, C., Nowlan, N.C., Hayat, T.T.A., Malamateniou, C., Rutherford, M., Hajnal, J.V. … Kainz, B. (2015). Machine learning for the automatic localisation of foetal body parts in cine-MRI scans. SPIE Medical Imaging.
Alansary, A., Lee, M., Keraudren, K., Kainz, B., Malamateniou, C., Rutherford, M. … Rueckert, D. (2015). Automatic Brain Localization in Fetal MRI Using Superpixel Graphs.
Kainz, B., Malamateniou, C., Murgasova, M., Keraudren, K., Rutherford, M., Hajnal, J.V. … Rueckert, D. (2014). Motion corrected 3D reconstruction of the fetal thorax from prenatal MRI.
Koch, L.M., Wright, R., Vatansever, D., Kyriakopoulou, V., Malamateniou, C., Patkee, P.A. … Rueckert, D. (2014). Graph-Based Label Propagation in Fetal Brain MR Images.
Malamateniou, C., Papaioannou, G., Loggitsi, D., Zambelis, I. and Kampas, E. (2011). High Field Open MRI: Correlation with Fetal Ultrasound in the Evaluation of Central Nervous System Abnormalities.
Xue, H., Malamateniou, C., Allsop, J., Srinivasan, L., Hajnal, J.V. and Rueckert, D. (2006). Automatic extraction and matching of neonatal cerebral vasculature.

Journal articles (43)

Rainey, C., O'Regan, T., Matthew, J., Skelton, E., Woznitza, N., Chu, K.-.Y. … McFadden, S. (2022). UK reporting radiographers’ perceptions of AI in radiographic image interpretation – Current perspectives and future developments. Radiography, 28(4), pp. 881–888. doi:10.1016/j.radi.2022.06.006.
Bockhold, S., McNulty, J., Abdurakman, E., Bezzina, P., Drey, N., England, A. … Malamateniou, C. (2022). Research ethics training, challenges, and suggested improvements across Europe: Radiography research ethics standards for Europe (RRESFE). Radiography, 28(4), pp. 1016–1024. doi:10.1016/j.radi.2022.07.004.
Bockhold, S., McNulty, J., Abdurakman, E., Bezzina, P., Drey, N., England, A. … Malamateniou, C. (2022). Research ethics systems, processes, and awareness across Europe: Radiography research ethics standards for Europe (RRESFE). Radiography, 28(4), pp. 1032–1041. doi:10.1016/j.radi.2022.07.002.
O'Donoghue, K., Malamateniou, C., Walton, L., England, A., Moore, N. and McEntee, M.F. (2022). The gendered impact of the COVID-19 pandemic on academics working in medical imaging and radiation therapy. Radiography, 28. doi:10.1016/j.radi.2022.07.001.
Rainey, C., O'Regan, T., Matthew, J., Skelton, E., Woznitza, N., Chu, K.-.Y. … McFadden, S. (2022). An insight into the current perceptions of UK radiographers on the future impact of AI on the profession: A cross-sectional survey. Journal of Medical Imaging and Radiation Sciences, 53(3), pp. 347–361. doi:10.1016/j.jmir.2022.05.010.
Stogiannos, N., Skelton, E., Rogers, C., Sharma, M., Papathanasiou, S., Venter, R.V.D. … Malamateniou, C. (2022). Leadership and resilience in adversity: The impact of COVID-19 on radiography researchers and ways forward. Journal of Medical Imaging and Radiation Sciences. doi:10.1016/j.jmir.2022.09.011.
Skelton, E., Webb, R., Malamateniou, C., Rutherford, M. and Ayers, S. (2022). The impact of antenatal imaging on parent experience and prenatal attachment: a systematic review. Journal of Reproductive and Infant Psychology pp. 1–23. doi:10.1080/02646838.2022.2088710.
Skelton, E., Webb, R., Rutherford, M., Malamateniou, C. and Ayers, S. (2022). The impact of antenatal imaging on parent experience and prenatal attachment: a systematic review. Journal of Reproductive and Infant Psychology pp. I–I. doi:10.1080/02646838.2022.2088710.
Anwar, I., McCabe, B., Simcock, C., Harvey-Lloyd, J. and Malamateniou, C. (2022). Paediatric magnetic resonance imaging adaptations without the use of sedation or anaesthesia: A narrative review. Journal of Medical Imaging and Radiation Sciences. doi:10.1016/j.jmir.2022.04.048.
Skelton, E., Harrison, G., Rutherford, M., Ayers, S. and Malamateniou, C. (2022). UK obstetric sonographers’ experiences of the COVID-19 pandemic: Burnout, role satisfaction and impact on clinical practice. Ultrasound pp. 1742271–1742271. doi:10.1177/1742271x221091716.
Stogiannos, N., Carlier, S., Harvey-Lloyd, J.M., Brammer, A., Nugent, B., Cleaver, K. … Malamateniou, C. (2022). A systematic review of person-centred adjustments to facilitate magnetic resonance imaging for autistic patients without the use of sedation or anaesthesia. Autism, 26(4), pp. 782–797. doi:10.1177/13623613211065542.
Stogiannos, N., Harvey–Lloyd, J.M., Nugent, B., Brammer, A., Carlier, S., Cleaver, K. … Malamateniou, C. (2022). Autism-friendly MRI: Improving radiography practice in the UK, a survey of radiographer practitioners. Radiography, 28(1), pp. 133–141. doi:10.1016/j.radi.2021.09.003.
Bougias, H., Georgiadou, E., Malamateniou, C. and Stogiannos, N. (2021). Identifying cardiomegaly in chest X-rays: a cross-sectional study of evaluation and comparison between different transfer learning methods. Acta Radiologica, 62(12), pp. 1601–1609. doi:10.1177/0284185120973630.
Rainey, C., O'Regan, T., Matthew, J., Skelton, E., Woznitza, N., Chu, K.-.Y. … Malamateniou, C. (2021). Beauty Is in the AI of the Beholder: Are We Ready for the Clinical Integration of Artificial Intelligence in Radiography? An Exploratory Analysis of Perceived AI Knowledge, Skills, Confidence, and Education Perspectives of UK Radiographers. Frontiers in Digital Health, 3. doi:10.3389/fdgth.2021.739327.
Malamateniou, C., McFadden, S., McQuinlan, Y., England, A., Woznitza, N., Goldsworthy, S. … O'Regan, T. (2021). Artificial Intelligence: Guidance for clinical imaging and therapeutic radiography professionals, a summary by the Society of Radiographers AI working group. Radiography, 27(4), pp. 1192–1202. doi:10.1016/j.radi.2021.07.028.
Malamateniou, C., Knapp, K.M., Pergola, M., Woznitza, N. and Hardy, M. (2021). Artificial intelligence in radiography: Where are we now and what does the future hold? Radiography, 27. doi:10.1016/j.radi.2021.07.015.
Walsh, G., Meagher, T. and Malamateniou, C. (2021). Evaluating the use of gradient echo imaging for the detection of cerebral microbleeds in acute stroke cases: A retrospective data analysis in a UK stroke unit. Radiography, 27(2), pp. 561–567. doi:10.1016/j.radi.2020.11.015.
Cleaver, K., Essex, R., Malamateniou, C., Narramore, N., Shekede, H., Vargo, E.J. … Weldon, S.M. (2021). A Systematic Scoping Review and Textual Narrative Synthesis of Undergraduate Pediatric Nursing Simulations: What, Why, and How? Clinical Simulation in Nursing, 53, pp. 10–31. doi:10.1016/j.ecns.2020.11.008.
Skelton, E., Drey, N., Rutherford, M., Ayers, S. and Malamateniou, C. (2020). Electronic consenting for conducting research remotely: A review of current practice and key recommendations for using e-consenting. International Journal of Medical Informatics, 143, pp. 104271–104271. doi:10.1016/j.ijmedinf.2020.104271.
Stogiannos, N., Fotopoulos, D., Woznitza, N. and Malamateniou, C. (2020). COVID-19 in the radiology department: What radiographers need to know. Radiography, 26(3), pp. 254–263. doi:10.1016/j.radi.2020.05.012.
Slator, P., Aughwane, R., Cade, G., Taylor, D., David, A.L., Lewis, R. … Yassine, B. (2019). Placenta Imaging Workshop 2018 report: Multiscale and multimodal approaches. Placenta, 79, pp. 78–82. doi:10.1016/j.placenta.2018.10.010.
Matthew, J., Malamateniou, C., Knight, C.L., Baruteau, K.P., Fletcher, T., Davidson, A. … Rutherford, M. (2018). A comparison of ultrasound with magnetic resonance imaging in the assessment of fetal biometry and weight in the second trimester of pregnancy: An observer agreement and variability study. Ultrasound, 26(4), pp. 229–244. doi:10.1177/1742271x17753738.
Williamson, W., Lewandowski, A.J., Forkert, N.D., Griffanti, L., Okell, T.W., Betts, J. … Leeson, P. (2018). Association of Cardiovascular Risk Factors With MRI Indices of Cerebrovascular Structure and Function and White Matter Hyperintensities in Young Adults. JAMA, 320(7), pp. 665–665. doi:10.1001/jama.2018.11498.
Lloyd, D.F.A., van Amerom, J.F.P., Pushparajah, K., Simpson, J.M., Zidere, V., Miller, O. … Razavi, R. (2016). An exploration of the potential utility of fetal cardiovascular MRI as an adjunct to fetal echocardiography. Prenatal Diagnosis, 36(10), pp. 916–925. doi:10.1002/pd.4912.
Rutherford, M., Ward, P., Allsop, J., Malamateniou, C. and Counsell, S. (2015). Corrigendum to “magnetic resonance imaging in neonatal encephalopathy” [Early Hum. Dev. 81 (1) (2005 Jan) 13–25]. Early Human Development, 91(12), pp. 661–661. doi:10.1016/j.earlhumdev.2015.09.002.
Rutherford, M.A., Ward, P. and Malamateniou, C. (2015). Corrigendum to “Advanced MR techniques in the term-born neonate with perinatal brain injury” [Semin Fetal Neonatal Med 10 (5) (2005) 445–460]. Seminars in Fetal and Neonatal Medicine, 20(5), pp. 374–374. doi:10.1016/j.siny.2015.09.007.
Kainz, B., Steinberger, M., Wein, W., Kuklisova-Murgasova, M., Malamateniou, C., Keraudren, K. … Rueckert, D. (2015). Fast Volume Reconstruction From Motion Corrupted Stacks of 2D Slices. IEEE Transactions on Medical Imaging, 34(9), pp. 1901–1913. doi:10.1109/tmi.2015.2415453.
Rutherford, M., Srinivasan, L., Allsop, J., Fitzpatrick, J., Counsell, S., Cowan, F. … Leijser, L. (2015). Neonatal cerebrovascular studies using Doppler velocity measurements and MRA. Journal of Pediatric Neuroradiology, 01(02), pp. 95–104. doi:10.3233/pnr-2012-015.
Vasylechko, S., Malamateniou, C., Nunes, R.G., Fox, M., Allsop, J., Rutherford, M. … Hajnal, J.V. (2015). T2* relaxometry of fetal brain at 1.5 Tesla using a motion tolerant method. Magnetic Resonance in Medicine, 73(5), pp. 1795–1802. doi:10.1002/mrm.25299.
Keraudren, K., Kuklisova-Murgasova, M., Kyriakopoulou, V., Malamateniou, C., Rutherford, M.A., Kainz, B. … Rueckert, D. (2014). Automated fetal brain segmentation from 2D MRI slices for motion correction. NeuroImage, 101, pp. 633–643. doi:10.1016/j.neuroimage.2014.07.023.
Ferrazzi, G., Kuklisova Murgasova, M., Arichi, T., Malamateniou, C., Fox, M.J., Makropoulos, A. … Hajnal, J.V. (2014). Resting State fMRI in the moving fetus: A robust framework for motion, bias field and spin history correction. NeuroImage, 101, pp. 555–568. doi:10.1016/j.neuroimage.2014.06.074.
Vasu, V., Durighel, G., Thomas, L., Malamateniou, C., Bell, J.D., Rutherford, M.A. … Modi, N. (2014). Preterm nutritional intake and MRI phenotype at term age: a prospective observational study. BMJ Open, 4(5). doi:10.1136/bmjopen-2014-005390.
Kainz, B., Malamateniou, C., Murgasova, M., Keraudren, K., Rutherford, M., Hajnal, J.V. … Rueckert, D. (2014). Motion Corrected 3D Reconstruction of the Fetal Thorax from Prenatal MRI. pp. 284–291. doi:10.1007/978-3-319-10470-6_36.
Malamateniou, C., Malik, S.J., Counsell, S.J., Allsop, J.M., McGuinness, A.K., Hayat, T. … Rutherford, M.A. (2013). Motion-Compensation Techniques in Neonatal and Fetal MR Imaging. American Journal of Neuroradiology, 34(6), pp. 1124–1136. doi:10.3174/ajnr.a3128.
Malamateniou, C., McGuinness, A.K., Allsop, J.M., O’Regan, D.P., Rutherford, M.A. and Hajnal, J.V. (2011). Snapshot Inversion Recovery: An Optimized Single-Shot T1-weighted Inversion-Recovery Sequence for Improved Fetal Brain Anatomic Delineation. Radiology, 258(1), pp. 229–235. doi:10.1148/radiol.10100381.
Rutherford, M., Malamateniou, C., McGuinness, A., Allsop, J., Biarge, M.M. and Counsell, S. (2010). Magnetic resonance imaging in hypoxic-ischaemic encephalopathy. Early Human Development, 86(6), pp. 351–360. doi:10.1016/j.earlhumdev.2010.05.014.
Malamateniou, C., Adams, M.E., Srinivasan, L., Allsop, J.M., Counsell, S.J., Cowan, F.M. … Rutherford, M.A. (2009). The Anatomic Variations of the Circle of Willis in Preterm-at-Term and Term-Born Infants: An MR Angiography Study at 3T. American Journal of Neuroradiology, 30(10), pp. 1955–1962. doi:10.3174/ajnr.a1724.
MALAMATENIOU, C. (2009). Radiography and research: A United Kingdom perspective. European Journal of Radiography, 1(1), pp. 2–6. doi:10.1016/j.ejradi.2008.12.003.
Ng, S.M., Turner, M.A., Gamble, C., Didi, M., Victor, S., Malamateniou, C. … Weindling, A.M. (2008). TIPIT: A randomised controlled trial of thyroxine in preterm infants under 28 weeks gestation: Magnetic Resonance Imaging and Magnetic Resonance Angiography protocol. BMC Pediatrics, 8(1). doi:10.1186/1471-2431-8-26.
Malamateniou, C., Counsell, S.J., Allsop, J.M., Fitzpatrick, J.A., Srinivasan, L., Cowan, F.M. … Rutherford, M.A. (2006). The effect of preterm birth on neonatal cerebral vasculature studied with magnetic resonance angiography at 3 Tesla. NeuroImage, 32(3), pp. 1050–1059. doi:10.1016/j.neuroimage.2006.05.051.
Rutherford, M.A., Ward, P. and Malamatentiou, C. (2005). Advanced MR techniques in the term-born neonate with perinatal brain injury. Seminars in Fetal and Neonatal Medicine, 10(5), pp. 445–460. doi:10.1016/j.siny.2005.05.005.
Rutherford, M., Ward, P., Allsop, J., Malamatentiou, C. and Counsell, S. (2005). Magnetic resonance imaging in neonatal encephalopathy. Early Human Development, 81(1), pp. 13–25. doi:10.1016/j.earlhumdev.2004.10.011.
Rutherford, M., Malamateniou, C., Zeka, J. and Counsell, S. (2004). MR imaging of the neonatal brain at 3 Tesla. European Journal of Paediatric Neurology, 8(6), pp. 281–289. doi:10.1016/j.ejpn.2004.08.003.