Calibrationless Parallel Dynamic MRI with Joint Temporal Sparsity
In this paper, we propose a novel calibrationless method for parallel dynamic magnetic resonance imaging (MRI) reconstruction, which overcomes the limitations posed by traditional MRI reconstruction methods that require accurate coil calibration. Thus, ca
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Bjoern Menze · Georg Langs Albert Montillo · Michael Kelm Henning Müller · Shaoting Zhang Weidong Cai · Dimitris Metaxas (Eds.)
Medical Computer Vision: Algorithms for Big Data International Workshop, MCV 2015 Held in Conjunction with MICCAI 2015 Munich, Germany, October 9, 2015, Revised Selected Papers
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Lecture Notes in Computer Science Commenced Publication in 1973 Founding and Former Series Editors: Gerhard Goos, Juris Hartmanis, and Jan van Leeuwen
Editorial Board David Hutchison Lancaster University, Lancaster, UK Takeo Kanade Carnegie Mellon University, Pittsburgh, PA, USA Josef Kittler University of Surrey, Guildford, UK Jon M. Kleinberg Cornell University, Ithaca, NY, USA Friedemann Mattern ETH Zurich, Zürich, Switzerland John C. Mitchell Stanford University, Stanford, CA, USA Moni Naor Weizmann Institute of Science, Rehovot, Israel C. Pandu Rangan Indian Institute of Technology, Madras, India Bernhard Steffen TU Dortmund University, Dortmund, Germany Demetri Terzopoulos University of California, Los Angeles, CA, USA Doug Tygar University of California, Berkeley, CA, USA Gerhard Weikum Max Planck Institute for Informatics, Saarbrücken, Germany
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Bjoern Menze Georg Langs Albert Montillo Michael Kelm Henning Müller Shaoting Zhang Weidong Cai Dimitris Metaxas (Eds.) •
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Medical Computer Vision: Algorithms for Big Data International Workshop, MCV 2015 Held in Conjunction with MICCAI 2015 Munich, Germany, October 9, 2015 Revised Selected Papers
123
Editors Bjoern Menze TU München Munich Germany Georg Langs Medical University of Vienna Wien Austria Albert Montillo University of Texas Southwestern Medical Center Dallas, TX USA Michael Kelm Siemens AG Erlangen Germany
Henning Müller University of Applied Sciences Western Switzerland (HES-SO) Sierre Switzerland Shaoting Zhang University of North Carolina Charlotte USA Weidong Cai University of Sydney Sydney Australia Dimitris Metaxas State University of New Jersey Rutgers Piscataway, NJ USA
ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Computer Science ISBN 978-3-319-42015-8 ISBN 978-3-319-42016-5 (eBook) DOI 10.1007/978-3-319-42016-5 Library of Congress Control Number: 2016946962 LNCS Sublibrary: SL6 – Image Processing, Computer Vision, Pattern Recognition, and Graphics © Springer International Publishing Switzerland 2016 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such n
