SmartHeart publications

 

Journal Papers

 

Ruijsink B., Puyol-Antón E., Oksuz I., Sinclair M., Bai W., Schnabel J.A., Razavi R. and King A.P. (2019) Fully Automated, Quality-Controlled Cardiac Analysis From CMR: Validation and Large-Scale Application to Characterize Cardiac Function. JACC: Cardiovascular Imaging, in press. https://doi.org/10.1016/j.jcmg.2019.05.030

Zheng Q., Delingettea H., Fung K., Petersen S.E. and Ayache N. (2019 ) Unsupervised shape and motion analysis of 3822 cardiac 4D MRIs of UK Biobank. Computer Vision and Pattern Recognition, in press. arXiv:1902.05811 [cs.CV]

Küstner T., Bustin A., Jaubert O., Neji R., Prieto C. and Botnar R. (2019) 3D Cartesian fast interrupted steady‐state (FISS) imaging. Magn. Reson. Med. 82(5):1617-1630. PMID: 31197881. doi: 10.1002/mrm.27830

Cruz G., Jaubert O., Botnar R. M. and Prieto C. (2019) Cardiac Magnetic Resonance Fingerprinting: Technical Developments and Initial Clinical Validation. Current Cardiology Reports 21(9):91. PMCID: PMC6661029. PMID: 31352620. doi: 10.1007/s11886-019-1181-1.

Qi, H., Jaubert, O., Bustin, A., Cruz, G., Chen, H., Botnar, R. and Prieto, C. (2019) Free-running 3D whole heart myocardial T1 mapping with isotropic spatial resolution. Magn Reson Med 82: 1331-1342. PMID: 31099442  doi: 10.1002/mrm.27811.

Munoz, C., Cruz, G., Neji, R., Botnar, R.M. & Prieto, C. (2019) Motion corrected water/fat whole-heart coronary MR angiography with 100% respiratory efficiency. Magn Reson Med 82: 732-742. PMID: 30927310 PMCID: PMC6563440  doi: 10.1002/mrm.27732.

Oksuz, I., Ruijsink, J. B., Puyol Anton, E., Clough, J. R., Lima da Cruz, G. J., Bustin, A., Prieto Vasquez, C., Botnar, R. M., Rueckert, D., Schnabel, J. A. and King, A. P. (2019) Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning. Medical Image Analysis, 55: 136-147. DOI: 10.1016/j.media.2019.04.009

Milotta G., Ginami G., Cruz G., Neji R., Prieto C. and Botnar R.M. (2019) Simultaneous 3D whole-heart bright-blood and black blood imaging for cardiovascular anatomy and wall assessment with interleaved T2 prep-IR. agn Reson Med. 2019 Jul;82(1):312-325. doi: 10.1002/mrm.27734. Epub 2019 Mar 21. PMID: 30896049

Bustin A., Cruz G., Jaubert O., Lopez K., Botnar R. M. and Prieto C. (2019). High-dimensionality undersampled patch-based reconstruction (HD-PROST) for accelerated multi-contrast MRI. Magn Reson Med. 2019 Jun;81(6):3705-3719. doi: 10.1002/mrm.27694. Epub 2019 Mar 4. PMID: 30834594. ttps://doi.org/10.1002/mrm.27694

Robinson, R., Valindria V. V., Bai W., Oktay, O., Kainz, B., Suzuki H. et al. (2019) Automated quality control in image segmentation: application to the UK Biobank cardiovascular magnetic resonance imaging study. Journal of Cardiovascular Magnetic Resonance 21:18. https://doi.org/10.1186/s12968-019-0523-x

Woodbridge S.P., Aung N., Paiva J.M., et al. (2019) Physical activity and left ventricular trabeculation in the UK Biobank community-based cohort study.  Heart Published Online First: 05 February 2019. doi: 10.1136/heartjnl-2018-314155

Gilbert K., Bai W., Mauger C., Medrano-Gracia P., Suinesiaputra A., Lee A. M., Sanghvi M. M., Aung N., Piechnik S. K., Neubauer S., Petersen S. E., Rueckert D. and Young A. A. (2019). Independent Left Ventricular Morphometric Atlases Show Consistent Relationships with Cardiovascular Risk Factors: A UK Biobank Study. Scientific Reports, 9:1130. PMID: 30718635 PMCID: PMC6362245. https://doi.org/10.1038/s41598-018-37916-6

Beyer S.E., Sanghvi M.M., Aung N., Hosking A., Cooper J.A., Paiva J.M., et al. (2018) Prospective association between handgrip strength and cardiac structure and function in UK adults. PLoS ONE 13(3): e0193124. https://doi.org/10.1371/journal.pone.0193124

Cruz G., Bustin A., Jaubert O., Schneider T., Botnar R. M. and Prieto C. (2019). Sparsity and locally low rank regularization for magnetic resonance fingerprinting. Magn Reson Med. 2019;1–14. DOI: https://doi.org/10.1002/mrm.27665

Sanghvi M.M., Aung N., Cooper J.A., Paiva J.M., Lee A.M. et al. (2018) The impact of menopausal hormone therapy (MHT) on cardiac structure and function: Insights from the UK Biobank imaging enhancement study. PLoS One. 2018 Mar 8;13(3):e0194015. PMID: 29518141 PMCID: PMC5843282  doi: 10.1371/journal.pone.0194015. eCollection 2018.

Thomson R. J., Aung N., Sanghvi M. M., Paiva J. M., Lee A. M., Zemrak F., Fung K…. and Petersen, S. E. (2018) Variation in lung function and alterations in cardiac structure and function – Analysis of the UK Biobank cardiovascular magnetic resonance imaging substudy. PLoS ONE 13(3): e0194434. PMID:29558496 PMCID:PMC5860758. https://doi.org/10.1371/journal.pone.0194434

Qin C., Hajnal J. V., Rueckert D., Schlemper J., Caballero J., Price A. N…. and Rueckert D. (2018). Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction. IEEE transactions on medical imaging, 38(1):280-290. PMID:30080145. DOI:  10.1109/TMI.2018.2863670

Tarroni G., Oktay O., Bai W., Schuh A., Suzuki H., Passerat-Palmbach J., de Marvao A…. Rueckert D. (2018). Learning-Based Quality Control for Cardiac MR Images. IEEE transactions on medical imaging. arXiv:1803.09354v2.  PMID:30403623 DOI: 10.1109/TMI.2018.2878509

Aung N., Sanghvi M., Zemrak F., Lee A., Cooper J., Paiva J….. Petersen S., (2018). Association Between Ambient Air Pollution and Cardiac Morpho-Functional Phenotypes: Insights From the UK Biobank Population Imaging Study. Circulation, 138 (20), pp. 2175-2186. PMID:30524134 PMCID:PMC6250297. DOI: 10.1161/CIRCULATIONAHA.118.034856

Puyol-Antón E., Ruijsink B., Gerber B., Amzulescu M. S., Langet H., De Craene M., Schnabel J. A., Piro P. and King A. P. (2018). Regional Multi-view Learning for Cardiac Motion Analysis: Application to Identification of Dilated Cardiomyopathy Patients. IEEE Trans Biomed Eng. 2018 Aug 15. PMID: 30113891 DOI: 10.1109/TBME.2018.2865669.

Cruz G., Schneider T., Bruijnen T., Gaspar A. S., Botnar R. M. and Prieto C. (2018). Accelerated magnetic resonance fingerprinting using soft-weighted key-hole (MRF-SOHO). PloS one. 2018 Aug 9;13(8):e0201808. PMID: 30092033 PMCID: PMC6084944      DOI: 10.1371/journal.pone.0201808

Cruz G., Jaubert O., Schneider T., Botnar R.M. and Prieto C. (2018). Rigid motion corrected magnetic resonance fingerprinting. Magnetic Resonance in Medicine, Magn Reson Med. 2019 Feb;81(2):947-961. doi: 10.1002/mrm.27448. Epub 2018 Sep 3. PMID: 30229558. DOI: 10.1002/mrm.27448 

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, 81(1):102-115. DOI: https://doi.org/10.1002/mrm.27354.

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

 

Cruz G., Jaubert O., Schneider T., Freitas A., Henningsson M., Botnar R. M. and Prieto C. (2019) 3D Cardiac Magnetic Resonance Fingerprinting. In Proceedings SCMR 2019.

Cruz G., Jaubert O., Schneider T., Bustin A., Botnar R. M. and Prieto C. (2019) Toward 3D Free-breathing Cardiac Magnetic Resonance Fingerprinting. In Proceedings ISMRM 2019, 4385.

Jaubert O., Cruz G., Bustin A., Schneider T., Botnar R. M. and Prieto C. (2019) Dixon-cMRF: cardiac tissue characterization using three-point Dixon MR fingerprinting. In Proceedings ISMRM 2019, 1100.

Oksuz I., Clough J., Ruijsink B., Puyol-Antón E., Bustin A., Cruz G., Prieto C., Rueckert D., King A.P. and Schnabel J. A. (2019) Detection and Correction of Cardiac MR Motion Artefacts during Reconstruction from K-space. Proceedings MICCAI, 2019, accepted.  arXiv:1906.05695

Clough J.R., Oksuz I., Puyol-Antón E., Ruijsink B., King A.P. and Schnabel J. A. (2019) Global and Local Interpretability for Cardiac MRI Classification. MICCAI, 2019, accepted.  arXiv:1906.06188

Bai W., Chen C., Tarroni G., Duan J., Guitton F., Petersen S. E., Guo Y., Matthews P. M. and Rueckert D. (2019) Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction. MICCAI, 2019, accepted. arXiv:1907.02757v1

Oksuz, İ., Cruz G., Clough J., Bustin A., Nicolo F., Botnar R.M., Prieto C., King A.P. and Schnabel J.A. (2019), Magnetic Resonance Fingerprinting using Recurrent Neural Networks, ISBI, 2019.  arXiv:1812.08155

Oksuz, I., Clough J., Bai W., B. Ruijsink, Puyol-Anton E., Cruz G., Prieto C., King A.P. Schnabel J.A. (2019) High-quality segmentation of low quality cardiac MR images using k-space artefact correction. Proceedings of Machine Learning Research 102:380–389. http://proceedings.mlr.press/v102/oksuz19a.html

Clough J. R., Oksuz I., Byrne N., Schnabel J. A. and King A. P. (2019). Explicit topological priors for deep-learning based image segmentation using persistent homology. Proceedings IPMI 2019 (accepted). arXiv:1901.10244v1

Chen C., Bai W. and Rueckert D. (2019) Multi-task Learning for Left Atrial Segmentation on GE-MRI. In: Pop M. et al. (eds) Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges. STACOM 2018. Lecture Notes in Computer Science, vol 11395. Springer, Cham. https://doi.org/10.1007/978-3-030-12029-0_32

Kerfoot E., Clough J., Oksuz, I.,Lee J., King A.P., Schnabel J.,  Left-Ventricle Quantification Using Residual U-Net. In: Pop M. et al. (eds) Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges. STACOM 2018. Lecture Notes in Computer Science, vol 11395. Springer, Cham. https://doi.org/10.1007/978-3-030-12029-0_40

Bai W., Sinclair M., Tarroni G., Oktay O., Rajchl M., Vaillant G., Lee A.M. … and Rueckert D. (2018) Automated cardiovascular magnetic resonance image analysis with fully convolutional networks. J Cardiovasc Magn Reson. 2018 Sep 14;20(1):65. PMID: 30217194 PMCID: PMC6138894  doi: 10.1186/s12968-018-0471-x.

Oksuz, I., Clough J., Puyol-Anton E., Bustin A., Cruz G., Prieto C., Botnar R., Rueckert D., Schnabel J., King A.P. (2018) Cardiac MR Motion Artefact Correction from K-space Using Deep Learning-Based Reconstruction. In: Knoll F., Maier A., Rueckert D. (eds) Machine Learning for Medical Image Reconstruction. MLMIR 2018. Lecture Notes in Computer Science, vol 11074. Springer, Cham. DOI: https://doi.org/10.1007/978-3-030-00129-2_3

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. In: Knoll F., Maier A., Rueckert D. (eds) Machine Learning for Medical Image Reconstruction. MLMIR 2018. Lecture Notes in Computer Science, vol 11074. Springer, Cham. https://doi.org/10.1007/978-3-030-00129-2_8

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. In: Knoll F., Maier A., Rueckert D. (eds) Machine Learning for Medical Image Reconstruction. MLMIR 2018. Lecture Notes in Computer Science, vol 11074. Springer, Cham. DOI: https://doi.org/10.1007/978-3-030-00129-2_7

Robinson R., Oktay O., Bai W., Valindria V. V., Sanghvi M. M., Aung N., Paiva J. M., Zemrak F., Fung K., Lukaschuk E., Lee A. M., Carapella V., Kim Y. J., Kainz B., Piechnik S. K., Neubauer S., Petersen S. E., Page C., Rueckert D. and Glocker B. (2018) Real-Time Prediction of Segmentation Quality. In: Frangi A., Schnabel J., Davatzikos C., Alberola-López C., Fichtinger G. (eds) Medical Image Computing and Computer Assisted Intervention – MICCAI 2018. MICCAI 2018. Lecture Notes in Computer Science, vol 11073. Springer, Cham.  https://arxiv.org/pdf/1806.06244.pdf

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. DOI: 10.1007/978-3-030-00928-1_30

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. In: Frangi A., Schnabel J., Davatzikos C., Alberola-López C., Fichtinger G. (eds) Medical Image Computing and Computer Assisted Intervention – MICCAI 2018. MICCAI 2018. Lecture Notes in Computer Science, vol 11071. Springer, Cham. https://doi.org/10.1007/978-3-030-00934-2_53

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

 

Jaubert O., Cruz G., Bustin A., Schneider T., Rueckert D., Botnar R.M. and Prieto C. Dixon-CMRF: cardiac tissue characterization using three point Dixon MR fingerprinting. SCMR 2019, Seattle.

Jaubert O., Cruz G., Bustin A., Schneider T., Koken P., Doneva M., Rueckert D., Botnar R.M. and Prieto C. MORE-MRF: Motion Resolved cardiac multi parametric mapping using fingerprinting. SCMR 2019, Seattle.

Bustin A., Correia T., Rashid I., Cruz G., Neji R., Botnar R.M. and Prieto C. Isotropic sub-millimeter CMRA: combining high undersampling with non-rigid motion correction. SCMR 2019, Seattle.

Bustin A., Cruz G., Jaubert O., Lopez K., Botnar R.M. and Prieto C. High-dimensionality undersampled patch-based reconstruction (HD-PROST) for accelerated multi-contrast magnetic resonance imaging.  ISMRM 2019, Montreal.

Bustin A., Correia T., Rashid I., Cruz G., Neji R., Botnar R.M. and Prieto C. Highly accelerated 3D whole-heart isotropic sub-millimeter CMRA with non-rigid motion correction. ISMRM 2019, Montreal.

Bustin A., Milotta G., Neji R., Botnar R.M. and Prieto C. Fast and accurate free-breathing whole-heart 3D T2 mapping. ISMRM 2019, Montreal.

Fuin, N., Bustin A., Kuestner T., Botnar R.M. and Prieto C. A Variational Neural Network for Whole-Heart Coronary MRA Reconstruction. SCMR/ISMRM Co-provided Workshop 2019, Seattle.

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

 

Puyol-Antón E, Sinclair M, Gerber B, Amzulescu M, Langet H, De Craene M, Aljabar P, Schnabel J, Piro P, King A (2018) Multiview Machine Learning Using an Atlas of Cardiac Cycle Motion. In: Pop M. et al. (eds) Statistical Atlases and Computational Models of the Heart. ACDC and MMWHS Challenges. STACOM 2017. Lecture Notes in Computer Science, vol 10663. Springer, Cham. https://doi.org/10.1007/978-3-319-75541-0_1

Puyol-Antón E., Langet H., De Craene M., Piro P., Schnabel J.A. and King A.P. (2018) Learning Associations Between Clinical Information and Motion-based Descriptors Using a Large Scale MR-derived Cardiac Motion Atlas, Proceedings MICCAI STACOM, 2018.  arXiv:1807.10653

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.