SmartHeart publications

 

Journal Papers

 

Cruz G., Jaubert O., Schneider T., Botnar R.M. and Prieto C. (2018). Rigid motion corrected magnetic resonance fingerprinting. Magnetic Resonance in Medicine, in press.

Bustin A., Ginami G., Cruz G., Correia T., Ismail TF., Rashid R., Neji R., Botnar RM., Prieto C. (2018) Five-minute whole-heart coronary MRA with sub-millimeter isotropic resolution, 100% respiratory scan efficiency and 3D-PROST reconstruction. Magnetic Resonance in Medicine, in press.

Bodagh N., Archbold R.A., Weerackody R., Hawking M.K.D., Barnes M.R., Lee A.M., Janjuha S., Gutteridge C., Robson J. and Timmis A. (2018) Feasibility of real-time capture of routine clinical data in the electronic health record: a hospital-based, observational service-evaluation study. BMJ Open 2018;8:e019790. DOI:10.1136/bmjopen-2017-019790

Abbott T.E.F., Gooneratne M., McNeill J., Lee A., Levett D.Z.H., Grocott M.P.W., Swart M., MacDonald N.; ARCTIC study investigators (2018). Inter-observer reliability of preoperative cardiopulmonary exercise test interpretation: a cross-sectional study. British Journal of Anaesthesia, 120(3), 475-483. DOI: 10.1016/j.bja.2017.11.071

Suinesiaputra, A., Sanghvi, M. M., Aung, N., Paiva, J. M., Zemrak, F., Fung, K., Lukaschuk, E., Lee, A.M., Carapella, V., Kim. Y. J., Francis, J., Piechnik, S.K., Neubauer, S., Greiser, A., Jolly, M-P., Hayes, C., Young, A.A. and Petersen, S. E. (2018). Fully-automated left ventricular mass and volume MRI analysis in the UK Biobank population cohort: evaluation of initial results. The International Journal of Cardiovascular Imaging, 34(2), 281–291.  DOI: 10.1007/s10554-017-1225-9. PMCID: PMC5809564, PMID: 28836039

Bai W., Sinclair M., Tarroni G., Oktay O., Rajchl M., Vaillant G., Lee A.M., Aung N., Lukaschuk E., Sanghvi M.M., Zemrak F., Fung K., Paiva J.M., Carapella V., Kim Y.J., Suzuki H., Kainz B., Matthews P.M., Petersen S.E., Piechnik S.K., Neubauer S., Glocker B., and Rueckert D. (2018) Automated cardiovascular magnetic resonance image analysis with fully convolutional networks. Journal of Cardiovascular Magnetic Resonance, accepted. eprint arXiv:1710.09289

Correia T., Ginami G., Cruz G., Neji R., Rashid I., Botnar RM., Prieto C. (2018) Optimized respiratory-resolved motion-compensated 3D Cartesian coronary MR angiography. Magnetic Resonance in Medicine, 2018:1-12. doi: 10.1002/mrm.27208.

Abbott T.E.F., Minto G., Lee A.M., Pearse R.M. and Ackland G.L. (2017). Elevated preoperative heart rate is associated with cardiopulmonary and autonomic impairment in high-risk surgical patients. British Journal of Anaesthesia, 119(1) 87-94. DOI: 10.1093/bja/aex164

Nordio G., Henningsson M., Chiribiri A., Villa A.D.M., Schneider T. and Botnar R.M. (2017). 3D mycoardial T1 mapping using saturation recovery. Journal of Magnetic Resonance in Medicine, 46(1):218-227. DOI: 10.1002/jmri.25575. PMCID: PMC5518207

Holtackers, R. J., Chiribiri, A., Schneider, T., Higgins, D. M., & Botnar, R. M. (2017). Dark-blood late gadolinium enhancement without additional magnetization preparation. Journal of Cardiovascular Magnetic Resonance, 19, 64. DOI: 10.1186/s12968-017-0372-4. PMCID: PMC5568308. PMID: 28835250

Ginami G., Neji R., Phinikaridou A., Whitaker J., Botnar R. M. and Prieto C. (2018) Simultaneous bright- and black-blood whole-heart MRI for noncontrast enhanced coronary lumen and thrombus visualization. Magn. Reson. Med, 79: 1460–1472. DOI: 10.1002/mrm.26815. PMID: 28722267

Ginami G., Neji R., Rashid I., Chiribiri A., Ismail T. F., Botnar R. M. and Prieto C. (2018) 3D whole-heart phase sensitive inversion recovery CMR for simultaneous black-blood late gadolinium enhancement and bright-blood coronary CMR angiography. J Cardiovasc Magn Reson. 19: 94. DOI: 10.1186/s12968-017-0405-z. PMCID: PMC5702978

Henningsson M., Jouke S., van Ensbergen G. and Botnar R. (2018) Coronary MR Angiography Using Image-Based Respiratory Motion Compensation With Inline Correction and Fixed Gating Efficiency. Magnetic Resonance in Medicine 79:416–422. DOI: 10.1002/mrm.26678. PubMed PMID: 28321900. PMCID: 5763408

Schlemper J., Caballero J., Hajnal J. V., Price A. and Rueckert D. (2017) A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction in IEEE Transactions on Medical Imaging, vol. PP, no. 99, pp. 1-1.
doi: 10.1109/TMI.2017.2760978

Puyol-Antón E., Sinclair M., Gerber B., Silvia Amzulescu M., Langet H., De Craene M., Aljabar P., Piro P. and King A. P. (2017) A multimodal spatiotemporal cardiac motion atlas from MR and ultrasound data. Medical Image Analysis 40: 96–110. doi: 10.1016/j.media.2017.06.002. PubMed PMID: 28646674.

Oktay O., Ferrante E., Kamnitsas K., Heinrich M., Bai W., Caballero J., Guerrero R., Cook S., de Marvao A., Dawes T., O’Regan D., Kainz B., Glocker B. and Rueckert D. (2017) Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation. IEEE Transactions on Medical Imaging ( arXiv:1705.08302). doi: 10.1109/TMI.2017.2743464. PMID: 28961105.  https://arxiv.org/pdf/1705.08302.pdf

Conference Papers

 

Schlemper J., Castro D., Bai W., Qin C., Oktay O., Duan J., Price A., Hajnal J. and Rueckert D. (2018). Bayesian Deep Learning for Accelerated MR Image Reconstruction. Machine Learning for Medical Image Reconstruction (MLMIR), 2018, accepted.

Qin C., Bai W., Schlemper J., Petersen S.E., Piechnik S.K., Neubauer S. and Rueckert D. (2018). Joint Motion Estimation and Segmentation from Undersampled Cardiac MR Image. Machine Learning for Medical Image Reconstruction (MLMIR), 2018, accepted.

Seitzer M., Yang G., Schlemper J., Oktay O., Wurfl T., Christlein V., Wong T., Mohiad R., Firmin D., Keegan J., Rueckert D. and Maier A. (2018) Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction. Medical Image Computing and Computer Assisted Intervention (MICCAI) 2018, accepted. Preprint available at https://arxiv.org/pdf/1806.11216

Schlemper J., Yang G., Ferreira P., Scott A., McGill L., Khalique Z., Gorodezky M., Roehl M., Keegan J., Pennell D., Firmin D. and Rueckert D. (2018) Stochastic Deep Compressive Sensing for the Reconstruction of Diffusion Tensor Cardiac MRI. Medical Image Computing and Computer Assisted Intervention (MICCAI) 2018, accepted. Preprint available at https://arxiv.org/abs/1805.12064

Schlemper J., Oktay O., Bai W., Castro D., Duan J., Qin C., Hajnal J. and Rueckert D. (2018) Cardiac MR Segmentation from Undersampled k-space using Deep Latent Representation Learning. Medical Image Computing and Computer Assisted Intervention (MICCAI) 2018, accepted.

Qin C., Bai W., Schlemper J., Petersen S.E., Piechnik S.K., Neubauer S., and Rueckert D. (2018). Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences. Medical Image Computing and Computer Assisted Intervention (MICCAI), 2018, accepted.

Oksuz I., Ruijsink B., Puyol-Anton E., Bustin A., Cruz G., Prieto C., Rueckert D., Schnabel J.A. and King A.P. (2018). Deep Learning using K-space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection. Medical Image Computing and Computer Assisted Intervention (MICCAI), 2018, accepted. Preprint available at https://drive.google.com/file/d/1VwGr-83PQLvQDCM2gIpwXBF9l2oN1Q07/view

Bai W., Suzuki H., Qin C., Tarroni G., Oktay O., Matthews P.M. and Rueckert D. (2018). Recurrent neural networks for aortic image sequence segmentation with sparse annotations. Medical Image Computing and Computer Assisted Intervention (MICCAI), 2018, accepted.

Lopez K., Radhouene N., Mukherjee R., Rashid I., Razavi R., Prieto C., Roujol S. and Botnar R. (2018). Contrast-free 3D whole-heart magnetization transfer imaging for simultaneous myocardial scar and cardiac vein visualization. Proc. Intl. Soc. Mag. Reson. Med. 26 (2018). Available at http://indexsmart.mirasmart.com/ISMRM2018/PDFfiles/4890.html

Bustin A., Neji R., Ginami G., Ismail T. F., Rashid I., Botnar R. M. and Prieto C. (2018) Four-minute whole-heart coronary MRA with sub-millimeter isotropic resolution and 100% respiratory scan efficiency. Proceedings of the 5th Meeting of the EUROCMR / SCMR, doi: 10.1002/mrm.27354.

Puyol-Anton E., Ruijsink B., Langet H.,De Craene M., Schnabel J. A., Piro P., King A. P. and Sinclair M. (2018) Fully automated myocardial strain estimation from cine MRI using convolutional neural networks. IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), Washington, DC, USA, 2018, pp. 1139-1143. doi: 10.1109/ISBI.2018.8363772

Oksuz I., Ruijsink B., Puyol-Anton E., Sinclair M., Rueckert D., Schnabel J. A. and King A.P. (2018) Automatic Left Ventricular Outflow Tract Classification for Accurate Cardiac MR Planning. IEEE IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), Washington, DC, 2018, pp. 462-465. doi: 10.1109/ISBI.2018.8363616

Lopez K., Neji R., Mukherjee R., Whitaker J., Razavi R., Muñoz C., Prieto C., Roujol S. and Botnar R.M. (2017). Non-contrast free breathing and motion corrected 3D whole heart quantitative magnetization transfer imaging for assessment of myocardial fibrosis. Proc. Intl. Soc. Mag. Reson. Med. 25. Available at http://indexsmart.mirasmart.com/ISMRM2017/PDFfiles/0046.html

Bai W., Oktay O., Sinclair M., Suzuki H., Rajchl M., Tarroni G., Glocker B., King A., Matthews P. M. and Rueckert D. (2017) Semi-supervised Learning for Network-Based Cardiac MR Image Segmentation. In: Descoteaux M., Maier-Hein L., Franz A., Jannin P., Collins D., Duchesne S. (eds) Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017. MICCAI 2017. Lecture Notes in Computer Science, vol. 10434:253-260. Springer, Cham. doi: 10.1007/978-3-319-66185-8_29

Robinson R., Valindria V. V., Bai W., Suzuki H., Matthews P.M., Page C., Rueckert D., and Glocker B. (2017) Automatic Quality Control of Cardiac MRI Segmentation in Large-Scale Population Imaging. In: Descoteaux M., Maier-Hein L., Franz A., Jannin P., Collins D., Duchesne S. (eds) Medical Image Computing and Computer Assisted Intervention − MICCAI 2017. MICCAI 2017. Lecture Notes in Computer Science, vol 10433:720-727. Springer, Cham. doi: 10.1007/978-3-319-66182-7_82

 

Conference Abstracts

 

Milotta G., Ginami G., Neji R., Prieto C. and Botnar R.M. Simultaneous 3D whole-heart bright-blood and black blood imaging for cardiovascular anatomy and wall assessment with interleaved T2prep-IR. SMRA 2018, Glasgow, UK.

Ginami G. et al., Non-contrast enhanced simultaneous bright- and black-blood 3D whole-heart MRI in patients with congenital heart disease. SMRA 2018, Glasgow, UK.

Correia T., Rashid I., Ginami G., Cruz G., Neji R., Botnar R.M. and Prieto C.. XD-ORCCA: Optimized respiratory-resolved 3D Cartesian coronary MRA. SMRA 2018, Glasgow, UK.

Milotta G., Ginami G., Neji R., Prieto C. and Botnar R.M. Simultaneous 3D whole-heart bright-blood and black blood imaging for cardiovascular anatomy and wall assessment with interleaved T2prep-IR. ISMRM 2018, Paris, France.

Cruz G., Jaubert O., Malik S., Schneider T., Botnar R.M. and Prieto C. Rigid motion corrected low rank magnetic resonance fingerprinting. ISMRM 2018, Paris, France.

Cruz G., Botnar R.M. and Prieto C. Zero Dimensional Self Navigated Autofocus for Motion Corrected Magnetic Resonance Fingerprinting. ISMRM 2018, Paris, France.

Cruz G., Bustin A., Jaubert O., Schneider T., Botnar R.M. and Prieto C. Locally Low Rank Regularization for Magnetic Resonance Fingerprinting. ISMRM 2018, Paris, France.

Bustin A., Ginami G., Correia T., Ismail T.F., Neji R., Botnar R.M. and Prieto C.. Whole-heart coronary MRA with sub-millimeter isotropic resolution in four-minute acquisition. ISMRM 2018, Paris, France.

Bustin A., Cruz G., Ginami G., Correia T., Rashid I., Neji R., Botnar R.M. and Prieto C. 3D-patch based low-rank reconstruction (PROST) for highly-accelerated CMRA acquistion. ISMRM 2018, Paris, France.

Jaubert O., Cruz G., Schneider T., Rueckert D., Botnar R.M. and Prieto C. MORE-MRF: Towards Motion Resolved Cardiac Multi-Parametric Mapping with Magnetic Resonance Fingerprinting. ISMRM 2018, Paris, France.

Correia T., Cruz G., Ginami G., Neji R., Botnar R.M. and Prieto C. Assessment of respiratory motion-resolved and nonrigid motion-corrected 3D Cartesian coronary MRA. ISMRM 2018, Paris, France.

Correia T., Ginami G., Neji R., Cruz G., Botnar R.M. and Prieto C. Optimized respiratory-resolved motion-compensated 3D Cartesian coronary MRA. ISMRM 2018, Paris, France.

Bustin A., Ginami G., Rashid I., Correia T., Ismail T.F., Neji R., Botnar R.M. and Prieto C.. Highly-accelerated whole-heart 3D CMRA with sub-millimeter isotropic resolution and 3D-PROST reconstruction. BISMRM 2018, London, UK.

Oksuz, I. Automatic mis-triggering artefact detection for image quality assessment of cardiac MRI. BSCI 2018, Edinburgh, UK.

Milotta G., Ginami G., Neji R., Prieto C. and Botnar R.M. 3D whole-heart free-breathing coronary lumen and vessel wall imaging with interleaved T2prep-IR. CMR 2018, Barcelona, Spain.

Mukherjee R.K., Whitaker J., Roujol S., Ginami G., Neji R., Villa A., Chubb H., O’Neill L., Williams S.E., Silberbauer J., Wright M., O’Neill M., Botnar R.M., Prieto C. and Razavi R. 3D High resolution imaging of ventricular scar: head-to-head comparison of three late gadolinium enhancement (LGE) sequences in a porcine infarct model at 1.5T. CMR 2018, Barcelona, Spain.

Nordio G., Bustin A., Odille F, Prieto C. and Botnar R.M. 3D SASHA myocardial T1 mapping with high accuracy and improved precision. CMR 2018, Barcelona, Spain.

Milotta G., Ginami G., Prieto C. and Botnar R.M. 3D whole-heart free-breathing coronary lumen and vessel wall imaging with interleaved T2prep-IR. CMR 2018, Barcelona, Spain.

Bustin A., Neji R., Ginami G., Ismail T., Rashid I, Botnar R.M. and Prieto C.. Four-minute whole-heart coronary MRA with sub-millimeter isotropic resolution and 100% respiratory scan efficiency. CMR 2018, Barcelona, Spain.

Ginami G., Neji R., Lopez K., Roujol S., Mountney P., Razavi R., Botnar R.M. and Prieto C.. Simultaneous 3D Whole-Heart Bright-Blood Visualization of the Coronary Sinus and Heart Anatomy and Black-Blood PSIR Depiction of Atrial Walls for Non-Contrast Enhanced Interventional Planning. CMR 2018, Barcelona, Spain.

 

Selected relevant publications

 

Henningsson M., Smink J., van Ensbergen G. and Botnar R. (2017) Coronary MR angiography using image-based respiratory motion compensation with inline correction and fixed gating efficiency. Magn Reson Med. 2017 Mar 20. doi: 10.1002/mrm.26678. PubMed PMID: 28321900.

Nordio G., Henningsson M., Chiribiri A., Villa A.D., Schneider T. and Botnar R.M. (2017) 3D myocardial T1 mapping using saturation recovery. J Magn Reson Imaging. 2017 Feb 2. doi: 10.1002/jmri.25575. PubMed PMID: 28152227.

Aung N., Sanghvi M.M., Zemrak F., Fung K., Paiva J.M., Francis J.M., Khanji M.Y., Lukaschuk E., Lee A.M., Carapella V., Kim Y.J., Leeson P., Piechnik S.K. and Neubauer S. (2017) Reference ranges for cardiac structure and function using cardiovascular magnetic resonance (CMR) in Caucasians from the UK Biobank population cohort, J Cardiovasc Magn Reson, doi: 10.1186/s12968-017-0327-9. PubMed PMID: 28178995. PubMed Central PMCID: PMC5304550.

Cruz G., Atkinson D., Henningsson M., Botnar R.M. and Prieto C. (2016) Highly efficient nonrigid motion-corrected 3D whole-heart coronary vessel wall imaging. Magn Reson Med. 2016 May 25. doi: 10.1002/mrm.26274.

Petersen S.E., Matthews P.M., Francis J.M., Robson M.D., Zemrak F., Boubertakh R., Young A.A., Hudson S., Weale P., Garratt S., Collins R., Piechnik S. and Neubauer S. (2016) UK Biobank’s cardiovascular magnetic resonance protocol. J Cardiovasc Magn Reson. 2016 Feb 1;18:8. doi: 10.1186/s12968-016-0227-4. PubMed PMID: 26830817; PubMed Central PMCID: PMC4736703.

Gomez, A., Oktay, O., Rueckert, D., Penney, G. P., Schnabel, J. A., Simpson, J. M. & Pushparajah, K. (2016) Regional Differences in End-Diastolic Volumes between 3D Echo and CMR in HLHS Patients. Frontiers in Pediatrics 4:133. doi: 10.3389/fped.2016.00133. PubMed Central PMCID: PMC5152531.

Schnabel J.A., Heinrich M.P., Papież B.W., Brady J.M. (2016) Advances and challenges in deformable image registration: From image fusion to complex motion modelling. Medical Image Analysis 33: 145-148. doi: http://dx.doi.org/10.1016/j.media.2016.06.031.

Nezafat M., Henningsson M., Ripley D.P., Dedieu N., Greil G., Greenwood J.P., Börnert P., Plein S., Botnar, R.M. (2016) Coronary MR angiography at 3T: fat suppression versus water-fat separation.  MAGMA. 2016 Oct;29(5):733-8. doi: 10.1007/s10334-016-0550-7. PubMed PMID: 27038934. PubMed Central PMCID: PMC5033991.

Henningsson M., Hussain T., Vieira M.S., Greil G.F., Smink J., Ensbergen G.V., Beck G., Botnar R.M. (2016) Whole-heart coronary MR angiography using image-based navigation for the detection of coronary anomalies in adult patients with congenital heart disease. J Magn Reson Imaging. 2016 Apr;43(4):947-55. doi: 10.1002/jmri.25058. PubMed PMID: 26451972.

Sudlow C., Gallacher J., Allen N., Beral V., Burton P., Danesh J., Downey P., Elliott P., Green J., Landray M., Liu B., Matthews P., Ong G., Pell J., Silman A., Young A., Sprosen T., Peakman T., Collins R. (2015) UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age. PLoS Med. 2015 Mar 31;12(3):e1001779. doi: 10.1371/journal.pmed.1001779. PubMed PMID: 25826379; PubMed Central PMCID: PMC4380465.

Aitken A.P., Henningsson M., Botnar R.M., Schaeffter T., Prieto C. (2015) 100% Efficient three-dimensional coronary MR angiography with two-dimensional beat-to-beat translational and bin-to-bin affine motion correction.  Magn Reson Med. 2015 Sep;74(3):756-64. doi: 10.1002/mrm.25460. PubMed PMID: 25236813.

Prieto C., Doneva M., Usman M. Henningsson M., Greil G., Schaeffter T. and Botnar R.M. (2015) Highly efficient respiratory motion compensated free-breathing coronary MRA using golden-step Cartesian acquisition. J Magn Reson Imaging. 2015 Mar;41(3):738-46. doi: 10.1002/jmri.24602. PubMed PMID: 24573992.

Rueckert D. and Schnabel J.A. (2014) Registration and segmentation in medical imaging. Registration and Recognition in Images and Videos, Springer, 532:137-156. doi: 10.1007/978-3-642-44907-9_7.

Petersen S.E., Matthews P.M., Bamberg F., Bluemke D.A., Francis J.M., Friedrich M.G., Leeson P., Nagel E., Plein S., Rademakers F.E., Young A.A., Garratt S., Peakman T., Sellors J., Collins R., Neubauer S. (2013) Imaging in population science: cardiovascular magnetic resonance in 100,000 participants of UK Biobank – rationale, challenges and approaches. J Cardiovasc Magn Reson. 2013 May 28;15:46. doi: 10.1186/1532-429X-15-46. PubMed PMID: 23714095; PubMed Central PMCID: PMC3668194.