We develop novel technology and analysis methods for medical imaging to offer more bespoke and eloquent information for medical diagnosis and decision making. Combining MR physics and real-time AI allows for a more efficient, motion-robust and individual imaging. We work in close collaboration with clinicians, biologists, computer scientists and engineers – always looking for challenging questions to contribute to.
Research projects
Novel MR technology to use the internal motion of our organs – peristaltic motion – for diagnostic insights (peristalsis in Real-Time Human MRI to study the interwoven frequency & microstructural properties, EARTHWORM)
Motion-robust and self-driving MRI (MRI Examination Enhanced by Real-time Knowledge during acquisition time, MEERKAT)
Non-invasive image to unravel novel information on the etiology of adenomyosis (Imaging and Modeling Adenomyosis Lesions and Adjacent microenvironments, IMPALA)
Increasing the success rate of unsedated MRI in children (Children-Oriented Real-time MRI Acquisition, COBRA)
Recent publications
2024
Hall, M., De Marvao, A., Schweitzer, R., Cromb, D., Colford, K., Jandu, P.,... Hutter, J. (2024). Preeclampsia Associated Differences in the Placenta, Fetal Brain, and Maternal Heart Can Be Demonstrated Antenatally: An Observational Cohort Study Using MRI . Hypertension , 81 (4), 836-847. https://doi.org/10.1161/HYPERTENSIONAHA.123.22442
Neves Silva, S., McElroy, S., Aviles Verdera, J., Colford, K., St Clair, K., Tomi-Tricot, R.,... Hutter, J. (2024). Fully automated planning for anatomical fetal brain MRI on 0.55T . Magnetic Resonance in Medicine . https://doi.org/10.1002/mrm.30122
Uus, A.U., Hall, M., Grigorescu, I., Avena Zampieri, C., Egloff Collado, A., Payette, K.,... Story, L. (2024). Automated body organ segmentation, volumetry and population-averaged atlas for 3D motion-corrected T2-weighted fetal body MRI . Scientific Reports , 14 (1). https://doi.org/10.1038/s41598-024-57087-x
2023
Aviles Verdera, J., Story, L., Hall, M., Finck, T., Egloff, A., Seed, P.T.,... Hutter, J. (2023). Reliability and Feasibility of Low-Field-Strength Fetal MRI at 0.55 T during Pregnancy . Radiology , 309 (1), e223050-. https://doi.org/10.1148/radiol.223050
Bos, B., Barratt, B., Batalle, D., Gale-Grant, O., Hughes, E.J., Beevers, S.,... Counsell, S.J. (2023). Prenatal exposure to air pollution is associated with structural changes in the neonatal brain . Environment International , 174 . https://doi.org/10.1016/j.envint.2023.107921
Hutter, J. (2023). Preface . Springer Science and Business Media Deutschland GmbH.
Hutter, J., Slator, P.J., Zampieri, C.A., Hall, M., Rutherford, M., & Story, L. (2023). Multi-modal MRI reveals changes in placental function following preterm premature rupture of membranes . Magnetic Resonance in Medicine , 89 (3), 1151-1159. https://doi.org/10.1002/mrm.29483
Story, L., Uus, A., Hall, M., Payette, K., Bakalis, S., Arichi, T.,... Hutter, J. (2023). Functional assessment of brain development in fetuses that subsequently deliver very preterm: An MRI pilot study . Prenatal Diagnosis . https://doi.org/10.1002/pd.6498
2022
Alena, U.U., Ayub, M.-U., Gartner, A., Kyriakopoulou, V., Pietsch, M., Grigorescu, I.,... Deprez, M. (2022). Segmentation of Periventricular White Matter in Neonatal Brain MRI: Analysis of Brain Maturation in Term and Preterm Cohorts . In Roxane Licandro, Roxane Licandro, Andrew Melbourne, Jana Hutter, Esra Abaci Turk, Christopher Macgowan (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 94-104). Singapore, SGP: Springer Science and Business Media Deutschland GmbH.
Avena-Zampieri, C.L., Hutter, J., Rutherford, M., Milan, A., Hall, M., Egloff, A.,... Story, L. (2022). Assessment of the fetal lungs in utero . American Journal of Obstetrics and Gynecology MFM , 4 (5). https://doi.org/10.1016/j.ajogmf.2022.100693
Aviles, J., Colford, K., Hall, M., Marenzana, M., Uus, A., Giles, S.,... Hutter, J. (2022). A Fast Anatomical and Quantitative MRI Fetal Exam at Low Field . In Roxane Licandro, Roxane Licandro, Andrew Melbourne, Jana Hutter, Esra Abaci Turk, Christopher Macgowan (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 13-24). Singapore, SGP: Springer Science and Business Media Deutschland GmbH.
Bouhrara, M., Hutter, J., & Benjamini, D. (2022). Editorial: Capturing Biological Complexity and Heterogeneity Using Multidimensional MRI . Frontiers in Physics , 10 . https://doi.org/10.3389/fphy.2022.950928
Ciarrusta, J., Christiaens, D., Fitzgibbon, S.P., Dimitrova, R., Hutter, J., Hughes, E.,... Batalle, D. (2022). The developing brain structural and functional connectome fingerprint . Developmental Cognitive Neuroscience , 55 . https://doi.org/10.1016/j.dcn.2022.101117
Colford, K., Price, A.N., Sigurdardottir, J., Fotaki, A., Steinweg, J., Story, L.,... Hutter, J. (2022). Cardiac and placental imaging (CARP) in pregnancy to assess aetiology of preeclampsia . Placenta , 122 , 46-55. https://doi.org/10.1016/j.placenta.2022.03.012
Fenchel, D., Dimitrova, R., Robinson, E.C., Batalle, D., Chew, A., Falconer, S.,... O'Muircheartaigh, J. (2022). Neonatal multi-modal cortical profiles predict 18-month developmental outcomes . Developmental Cognitive Neuroscience , 54 . https://doi.org/10.1016/j.dcn.2022.101103
Gale-Grant, O., Fenn-Moltu, S., Franca, L.G.S., Dimitrova, R., Christiaens, D., Cordero-Grande, L.,... Batalle, D. (2022). Effects of gestational age at birth on perinatal structural brain development in healthy term-born babies . Human Brain Mapping , 43 (5), 1577-1589. https://doi.org/10.1002/hbm.25743
Grigorescu, I., Uus, A., Christiaens, D., Cordero-Grande, L., Hutter, J., Batalle, D.,... Deprez, M. (2022). Attention-Driven Multi-channel Deformable Registration of Structural and Microstructural Neonatal Data . In Roxane Licandro, Roxane Licandro, Andrew Melbourne, Jana Hutter, Esra Abaci Turk, Christopher Macgowan (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 71-81). Singapore, SGP: Springer Science and Business Media Deutschland GmbH.
Hall, M., Hutter, J., Suff, N., Zampieri, C.A., Tribe, R.M., Shennan, A.,... Story, L. (2022). Antenatal diagnosis of chorioamnionitis: A review of the potential role of fetal and placental imaging . Prenatal Diagnosis , 42 (8), 1049-1058. https://doi.org/10.1002/pd.6188
Ho, A., Chappell, L.C., Story, L., Al-Adnani, M., Egloff, A., Routledge, E.,... Hutter, J. (2022). Corrigendum: “Visual assessment of the placenta in antenatal magnetic resonance imaging across gestation in normal and compromised pregnancies: Observations from a large cohort study” (Placenta (2022) 117 (29–38), (S0143400421006159), (10.1016/j.placenta.2021.10.006)) . Placenta , 119 , 31-. https://doi.org/10.1016/j.placenta.2022.01.011
Ho, A., Chappell, L.C., Story, L., Al-Adnani, M., Egloff, A., Routledge, E.,... Hutter, J. (2022). Visual assessment of the placenta in antenatal magnetic resonance imaging across gestation in normal and compromised pregnancies: Observations from a large cohort study: Visual assessment of the placenta in antenatal MRI . Placenta , 117 , 29-38. https://doi.org/10.1016/j.placenta.2021.10.006
Hutter, J., Kohli, V., Dellschaft, N., Uus, A., Story, L., Steinweg, J.K.,... Rutherford, M.A. (2022). Dynamics of T2* and deformation in the placenta and myometrium during pre-labour contractions . Scientific Reports , 12 (1). https://doi.org/10.1038/s41598-022-22008-3
Taoudi-Benchekroun, Y., Christiaens, D., Grigorescu, I., Gale-Grant, O., Schuh, A., Pietsch, M.,... Batalle, D. (2022). Predicting age and clinical risk from the neonatal connectome . NeuroImage , 257 . https://doi.org/10.1016/j.neuroimage.2022.119319
2021
Christiaens, D., Cordero-Grande, L., Pietsch, M., Hutter, J., Price, A.N., Hughes, E.J.,... Tournier, J.-D. (2021). Scattered slice SHARD reconstruction for motion correction in multi-shell diffusion MRI . NeuroImage , 225 . https://doi.org/10.1016/j.neuroimage.2020.117437
Dimitrova, R., Arulkumaran, S., Carney, O., Chew, A., Falconer, S., Ciarrusta, J.,... Edwards, A.D. (2021). Phenotyping the Preterm Brain: Characterizing Individual Deviations from Normative Volumetric Development in Two Large Infant Cohorts . Cerebral Cortex , 31 (8), 3665-3677. https://doi.org/10.1093/cercor/bhab039
Dimitrova, R., Pietsch, M., Ciarrusta, J., Fitzgibbon, S.P., Williams, L.Z.J., Christiaens, D.,... O'Muircheartaigh, J. (2021). Preterm birth alters the development of cortical microstructure and morphology at term-equivalent age . NeuroImage , 243 . https://doi.org/10.1016/j.neuroimage.2021.118488
Grigorescu, I., Uus, A., Christiaens, D., Cordero-Grande, L., Hutter, J., Batalle, D.,... Deprez, M. (2021). Uncertainty-Aware Deep Learning Based Deformable Registration . In Carole H. Sudre, Roxane Licandro, Christian Baumgartner, Andrew Melbourne, Adrian Dalca, Jana Hutter, Ryutaro Tanno, Esra Abaci Turk, Koen Van Leemput, Jordina Torrents Barrena, William M. Wells, Christopher Macgowan (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 54-63). Virtual, Online: Springer Science and Business Media Deutschland GmbH.
Heinsalu, R., Williams, L., Ranjan, A., Zampieri, C.A., Uus, A., Robinson, E.C.,... Hutter, J. (2021). Predicting Preterm Birth Using Multimodal Fetal Imaging . In Carole H. Sudre, Roxane Licandro, Christian Baumgartner, Andrew Melbourne, Adrian Dalca, Jana Hutter, Ryutaro Tanno, Esra Abaci Turk, Koen Van Leemput, Jordina Torrents Barrena, William M. Wells, Christopher Macgowan (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 284-293). Virtual, Online: Springer Science and Business Media Deutschland GmbH.
Ho, A., Hutter, J., Slator, P., Jackson, L., Seed, P.T., Mccabe, L.,... Chappell, L.C. (2021). Placental magnetic resonance imaging in chronic hypertension: A case-control study . Placenta , 104 , 138-145. https://doi.org/10.1016/j.placenta.2020.12.006
Hughes, E.J., Price, A.N., Mccabe, L., Hiscocks, S., Waite, L., Green, E.,... Rutherford, M.A. (2021). The effect of maternal position on venous return for pregnant women during MRI . NMR in Biomedicine , 34 (4). https://doi.org/10.1002/nbm.4475
Hutter, J., Ho, A., Jackson, L.H., Slator, P.J., Chappell, L.C., Hajnal, J.V., & Rutherford, M.A. (2021). An efficient and combined placental T1-ADC acquisition in pregnancies with and without pre-eclampsia . Magnetic Resonance in Medicine , 86 (5), 2684-2691. https://doi.org/10.1002/mrm.28809
Hutter, J., Jackson, L., Ho, A., Zampieri, C.A., Hajnal, J., Al-Adnani, M.,... Story, L. (2021). The use of functional placental magnetic resonance imaging for assessment of the placenta after prolonged preterm rupture of the membranes in vivo: A pilot study . Acta Obstetricia Et Gynecologica Scandinavica , 100 (12), 2244-2252. https://doi.org/10.1111/aogs.14267
Myers, R., Hutter, J., Matthew, J., Zhang, T., Uus, A., Lloyd, D.,... Story, L. (2021). Assessment of the fetal thymus gland: Comparing MRI-acquired thymus volumes with 2D ultrasound measurements . European Journal of Obstetrics Gynecology and Reproductive Biology , 264 , 1-7. https://doi.org/10.1016/j.ejogrb.2021.06.026
Pietsch, M., Ho, A., Bardanzellu, A., Zeidan, A.M.A., Chappell, L.C., Hajnal, J.,... Hutter, J. (2021). APPLAUSE: Automatic Prediction of PLAcental health via U-net Segmentation and statistical Evaluation . Medical Image Analysis , 72 . https://doi.org/10.1016/j.media.2021.102145
Slator, P.J., Hutter, J., Marinescu, R.V., Palombo, M., Jackson, L.H., Ho, A.,... Alexander, D.C. (2021). Data-Driven multi-Contrast spectral microstructure imaging with InSpect: INtegrated SPECTral component estimation and mapping . Medical Image Analysis , 71 . https://doi.org/10.1016/j.media.2021.102045
Slator, P.J., Palombo, M., Miller, K.L., Westin, C.-F., Laun, F.B., Kim, D.,... Hutter, J. (2021). Combined diffusion-relaxometry microstructure imaging: Current status and future prospects . Magnetic Resonance in Medicine . https://doi.org/10.1002/mrm.28963
Steinweg, J.K., Hui, G.T.Y., Pietsch, M., Ho, A., Van Poppel, M.P.M., Lloyd, D.,... Hutter, J. (2021). T2* placental MRI in pregnancies complicated with fetal congenital heart disease . Placenta , 108 , 23-31. https://doi.org/10.1016/j.placenta.2021.02.015
Story, L., Davidson, A., Patkee, P., Fleiss, B., Kyriakopoulou, V., Colford, K.,... Rutherford, M. (2021). Brain volumetry in fetuses that deliver very preterm: An MRI pilot study . NeuroImage: Clinical , 30 . https://doi.org/10.1016/j.nicl.2021.102650
Story, L., Zhang, T., Uus, A., Hutter, J., Egloff, A., Gibbons, D.,... Rutherford, M. (2021). Antenatal thymus volumes in fetuses that delivered <32 weeks' gestation: An MRI pilot study . Acta Obstetricia Et Gynecologica Scandinavica , 100 (6), 1040-1050. https://doi.org/10.1111/aogs.13983
Uus, A., Grigorescu, I., Pietsch, M., Batalle, D., Christiaens, D., Hughes, E.,... Deprez, M. (2021). Multi-Channel 4D Parametrized Atlas of Macro- and Microstructural Neonatal Brain Development . Frontiers in Neuroscience , 15 . https://doi.org/10.3389/fnins.2021.661704
Wilson, S., Pietsch, M., Cordero-Grande, L., Price, A.N., Hutter, J., Xiao, J.,... O'Muircheartaigh, J. (2021). Development of human white matter pathways in utero over the second and third trimester . Proceedings of the National Academy of Sciences of the United States of America , 118 (20). https://doi.org/10.1073/pnas.2023598118
2020
Ball, G., Seidlitz, J., O'Muircheartaigh, J., Dimitrova, R., Fenchel, D., Makropoulos, A.,... Edwards, A.D. (2020). Cortical morphology at birth reflects spatiotemporal patterns of gene expression in the fetal human brain . Plos Biology , 18 (11). https://doi.org/10.1371/journal.pbio.3000976
Carlisle, N., Glazewska-Hallin, A., Story, L., Carter, J., Seed, P.T., Suff, N.,... Shennan, A.H. (2020). CRAFT (Cerclage after full dilatation caesarean section): protocol of a mixed methods study investigating the role of previous in-labour caesarean section in preterm birth risk . BMC Pregnancy and Childbirth , 20 (1). https://doi.org/10.1186/s12884-020-03375-z
Christiaens, D., Veraart, J., Cordero-Grande, L., Price, A.N., Hutter, J., Hajnal, J.V., & Tournier, J.-D. (2020). On the need for bundle-specific microstructure kernels in diffusion MRI . NeuroImage , 208 . https://doi.org/10.1016/j.neuroimage.2019.116460
Deprez, M., Price, A., Christiaens, D., Estrin, G.L., Cordero-Grande, L., Hutter, J.,... Hajnal, J. (2020). Higher Order Spherical Harmonics Reconstruction of Fetal Diffusion MRI with Intensity Correction . IEEE Transactions on Medical Imaging , 39 (4), 1104-1113. https://doi.org/10.1109/TMI.2019.2943565
Dimitrova, R., Pietsch, M., Christiaens, D., Ciarrusta, J., Wolfers, T., Batalle, D.,... O'Muircheartaigh, J. (2020). Heterogeneity in brain microstructural development following preterm birth . Cerebral Cortex , 30 (9), 4800-4810. https://doi.org/10.1093/cercor/bhaa069
Fenchel, D., Dimitrova, R., Seidlitz, J., Robinson, E.C., Batalle, D., Hutter, J.,... O'Muircheartaigh, J. (2020). Development of Microstructural and Morphological Cortical Profiles in the Neonatal Brain . Cerebral Cortex , 30 (11), 5767-5779. https://doi.org/10.1093/cercor/bhaa150
Gale-Grant, O., Christiaens, D., Cordero-Grande, L., Chew, A., Falconer, S., Makropoulos, A.,... Batalle, D. (2020). Parental age effects on neonatal white matter development . NeuroImage: Clinical , 27 . https://doi.org/10.1016/j.nicl.2020.102283
Harteveld, A.A., Hutter, J., Franklin, S.L., Jackson, L.H., Rutherford, M., Hajnal, J.,... De Vita, E. (2020). Systematic evaluation of velocity-selective arterial spin labeling settings for placental perfusion measurement . Magnetic Resonance in Medicine , 84 (4), 1828-1843. https://doi.org/10.1002/mrm.28240
Ho, A.E.P., Hutter, J., Jackson, L.H., Seed, P.T., Mccabe, L., Al-Adnani, M.,... Chappell, L.C. (2020). T2∗ Placental Magnetic Resonance Imaging in Preterm Preeclampsia: An Observational Cohort Study . Hypertension , 75 (6), 1523-1531. https://doi.org/10.1161/HYPERTENSIONAHA.120.14701
Hutter, J., Harteveld, A.A., Jackson, L.H., Franklin, S., Bos, C., Van Osch, M.J.P.,... De Vita, E. (2020). Perfusion and apparent oxygenation in the human placenta (PERFOX) . Magnetic Resonance in Medicine , 83 (2), 549-560. https://doi.org/10.1002/mrm.27950
Licandro, R., Hutter, J., Turk, E.A., Torrents, J., & Melbourne, A. (2020). Preface PIPPI 2020 . In Yipeng Hu, Roxane Licandro, J. Alison Noble, Jana Hutter, Andrew Melbourne, Stephen Aylward, Esra Abaci Turk, Jordina Torrents Barrena, Jordina Torrents Barrena (Eds.), Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis - 1st International Workshop, ASMUS 2020, and 5th International Workshop, PIPPI 2020, Held in Conjunction with MICCAI 2020, Proceedings. (pp. vii-). Springer Science and Business Media Deutschland GmbH.
Ng, I.H.X., Bonthrone, A.F., Kelly, C.J., Cordero-Grande, L., Hughes, E.J., Price, A.N.,... Counsell, S.J. (2020). Investigating altered brain development in infants with congenital heart disease using tensor-based morphometry . Scientific Reports , 10 (1). https://doi.org/10.1038/s41598-020-72009-3
Ni Bhroin, M., Seada, S.A., Bonthrone, A.F., Kelly, C.J., Christiaens, D., Schuh, A.,... Batalle, D. (2020). Reduced structural connectivity in cortico-striatal-thalamic network in neonates with congenital heart disease . NeuroImage: Clinical , 28 . https://doi.org/10.1016/j.nicl.2020.102423
O'Muircheartaigh, J., Robinson, E.C., Pietsch, M., Wolfers, T., Aljabar, P., Grande, L.C.,... Edwards, A.D. (2020). Modelling brain development to detect white matter injury in term and preterm born neonates . Brain , 143 (2), 467-479. https://doi.org/10.1093/brain/awz412
Pizzolato, M., Palombo, M., Bonet-Carne, E., Tax, C.M., Grussu, F., Ianus, A.,... Hutter, J. (2020). Acquiring and Predicting Multidimensional Diffusion (MUDI) Data: An Open Challenge . In (pp. 195-208). Springer Science and Business Media Deutschland GmbH.
Sorensen, A., Hutter, J., Seed, M., Grant, P.E., & Gowland, P.A. (2020). T2*-weighted placental MRI: basic research tool or emerging clinical test for placental dysfunction? Ultrasound in Obstetrics & Gynecology , 55 (3), 293-302. https://doi.org/10.1002/uog.20855
Story, L., Zhang, T., Steinweg, J.K., Hutter, J., Matthew, J., Dassios, T.,... Rutherford, M. (2020). Foetal lung volumes in pregnant women who deliver very preterm: a pilot study . Pediatric Research , 87 (6), 1066-1071. https://doi.org/10.1038/s41390-019-0717-9
Tournier, J.-D., Christiaens, D., Hutter, J., Price, A.N., Cordero-Grande, L., Hughes, E.,... Hajnal, J.V. (2020). A data-driven approach to optimising the encoding for multi-shell diffusion MRI with application to neonatal imaging . NMR in Biomedicine , 33 (9). https://doi.org/10.1002/nbm.4348
Uus, A., Pietsch, M., Grigorescu, I., Christiaens, D., Tournier, J.-D., Grande, L.C.,... Deprez, M. (2020). Multi-channel registration for diffusion mri: longitudinal analysis for the neonatal brain . In Ziga Spiclin, Jamie McClelland, Jan Kybic, Orcun Goksel (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 111-121). Portoroz, SVN: Springer.
Related Research Fields
Contact:
We develop novel technology and analysis methods for medical imaging to offer more bespoke and eloquent information for medical diagnosis and decision making. Combining MR physics and real-time AI allows for a more efficient, motion-robust and individual imaging. We work in close collaboration with clinicians, biologists, computer scientists and engineers – always looking for challenging questions to contribute to.
Research projects
No projects found.
2024
2023
2022
2021
2020
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