@inproceedings{f686f4d8ebe9481db10e8cb6c9886ebd,
title = "Motion estimated-compensated reconstruction with preserved-features in free-breathing cardiac MRI",
abstract = "To develop an efficient motion-compensated reconstruction technique for free-breathing cardiac magnetic resonance imaging (MRI) that allows high-quality images to be reconstructed from multiple undersampled single-shot acquisitions. The proposed method is a joint image reconstruction and motion correction method consisting of several steps, including a non-rigid motion extraction and a motion-compensated reconstruction. The reconstruction includes a denoising with the Beltrami regularization, which offers an ideal compromise between feature preservation and staircasing reduction. Results were assessed in simulation, phantom and volunteer experiments. The proposed joint image reconstruction and motion correction method exhibits visible quality improvement over previous methods while reconstructing sharper edges. Moreover, when the acceleration factor increases, standard methods show blurry results while the proposed method preserves image quality. The method was applied to free-breathing single-shot cardiac MRI, successfully achieving high image quality and higher spatial resolution than conventional segmented methods, with the potential to offer high-quality delayed enhancement scans in challenging patients.",
keywords = "Free-breathing, Late gadolinium enhancement, Magnetic resonance imaging, Motion correction, Non-rigid registration, Single-shot",
author = "Aur{\'e}lien Bustin and Anne Menini and Janich, {Martin A.} and Darius Burschka and Jacques Felblinger and Brau, {Anja C.S.} and Freddy Odille",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 1st International Workshops on Reconstruction and Analysis of Moving Body Organs, RAMBO 2016 and 1st International Workshops on Whole-Heart and Great Vessel Segmentation from 3D Cardiovascular MRI in Congenital Heart Disease, HVSMR 2016 Held in Conjunction with 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016 ; Conference date: 17-10-2016 Through 21-10-2016",
year = "2017",
doi = "10.1007/978-3-319-52280-7_7",
language = "English",
isbn = "9783319522791",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "70--80",
editor = "Zuluaga, {Maria A.} and Moghari, {Mehdi H.} and Pace, {Danielle F.} and Bernhard Kainz and Kanwal Bhatia",
booktitle = "Reconstruction, Segmentation, and Analysis of Medical Images - 1st International Workshops, RAMBO 2016 and HVSMR 2016 Held in Conjunction with MICCAI 2016, Revised Selected Papers",
}