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Advanced Signal Processing Methods for Biomedical Imaging

International Journal of Biomedical Imaging
Hindawi Publishing Corporation
Publication Date
DOI: 10.1155/2013/696878
  • Editorial
  • Communication
  • Computer Science
  • Earth Science
  • Engineering
  • Mathematics
  • Medicine


Hindawi Publishing Corporation International Journal of Biomedical Imaging Volume 2013, Article ID 696878, 2 pages Editorial Advanced Signal Processing Methods for Biomedical Imaging Juan Ruiz-Alzola,1, 2 Carlos Alberola-Lo´pez,3 and Carl-Fredrik Westin4 1 Department of Signals and Communications, University of Las Palmas de Gran Canaria, 35017 Las Palmas de Gran Canaria, Spain 2 Canary Islands Agency for Reseach, Innovation and Information Society, 35003 Las Palmas de Gran Canaria, Spain 3 Image Processing Laboratory, ETSI Telecomunicacio´n, University of Valladolid, 47011 Valladolid, Spain 4 Laboratory for Mathematics in Imaging, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA Correspondence should be addressed to Juan Ruiz-Alzola; [email protected] Received 23 December 2012; Accepted 23 December 2012 Copyright © 2013 Juan Ruiz-Alzola et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Signal processing is a long-established engineering field with broad applications in so different arenas such as multime- dia (audio, still image, video, graphics, etc.), coding, com- munications, seismology, astronomy, biomedicine, artificial intelligence, and econometrics, to only name some of them. Signal processing stems from cross-fertilized grounds includ- ing mathematical analysis, algebra, numerical analysis, prob- ability, statistics, information theory, discrete mathematics, cybernetics, and computer science. Advances in signal pro- cessing have frequently been pulled by needs in specific application domains, so that they are readily incorporated to the signal processing knowledge base for convenient use in distant areas of application. Signal and image processing is ubiquitous in modern biomedical imaging, as it provides essential techniqu

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