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Applied Medical Image Processing - Wolfgang Birkfellner

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        Avis sur Applied Medical Image Processing de Wolfgang Birkfellner Format Broché  - Livre Médecine, Pharmacie, Paramédical, Médecine vétérinaire

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        Présentation Applied Medical Image Processing de Wolfgang Birkfellner Format Broché

         - Livre Médecine, Pharmacie, Paramédical, Médecine vétérinaire

        Livre Médecine, Pharmacie, Paramédical, Médecine vétérinaire - Wolfgang Birkfellner - 01/03/2014 - Broché - Langue : Anglais

        . .

      • Auteur(s) : Wolfgang Birkfellner
      • Editeur : Crc Press
      • Langue : Anglais
      • Parution : 01/03/2014
      • Format : Moyen, de 350g à 1kg
      • Nombre de pages : 455
      • Expédition : 1133
      • Dimensions : 26.1 x 18.2 x 2.7
      • ISBN : 9781466555570



      • Résumé :

        Avoiding excessive mathematical formalisms, this second edition of a bestseller delivers an ideal introduction to medical image processing, presenting key principles and algorithms using simple MATLAB?/Octave scripts. It not only discusses data storage, transformations, segmentation, rendering, registration, and reconstruction, but also contains a chapter on clinical applications and an image-guided therapy tutorial. Including examples from radiology, internal medicine, surgery, and radiation therapy, the text is beneficial to students of medical physics, biomedical engineering, computer science, applied mathematics, and related fields, as well as radiology professionals.

        Biographie:

        Wolfgang Birkfellner studied theoretical physics at, and holds a Ph.D in medical physics from, the University of Vienna, Austria. Currently, he is heading the Digital Image Processing Laboratory at the Center for Biomedical Engineering and Physics at the Medical University of Vienna. He is also a reviewer and editorial board member for major journals in the field, program committee member for international conferences, and principal investigator for several third-party funded research projects. Previously, he served as senior researcher at the University Hospital Basel/Switzerland and associate professor of medical physics at the Center for Biomedical Engineering and Physics of Vienna Medical School.

        Sommaire:

        A Few Basics of Medical Image Sources. Image Processing in Clinical Practice. Image Representation. Operations in Intensity Space. Filtering and Transformations. Segmentation. Spatial Transforms. Rendering and Surface Models. Registration. CT Reconstruction. A Tutorial on Image Guided Therapy. A Selection of MATLAB Commands.

        Praise for the First Edition: The topics covered are clearly explained, including explanations of the mathematical operations that are required, therefore making it an ideal text for anyone who is new to medical image processing. an interesting and helpful introduction to medical image processing. This text is likely to be of interest to students starting work in medical image processing and would be a useful library text for hospital departments offering training in medical imaging. Sarah Cade, Scope, December 2011

        The book achieves its purpose very well. The CD adds substantial value to the text and serves as an excellent guide to practice the information covered in the text. Several books on image processing have been published recently, and this book takes a backseat to none of them. Students who take a course where this book is used as the course text will be fortunate indeed. William Hendee, Medical Physics, Vol. 37, December 2010

        [A]n outstanding work that will be of interest to virtually all biomedical engineers. The text is easy to follow, supposing only that the reader has a modest knowledge of linear algebra, basic engineering principles, and computer programming. I was impressed by the content as well as by amount of information that is packed on each page. In each well-organized chapter, important concepts and definitions are described concisely and well. Relevant medical images used for processing compliment many of the concepts discussed. Where important, the mathematical formulation is provided. The text and images refer to several MATLAB-based programming examples that are provided at the end of each chapter. These are useful to apply the concepts to actual medical image processing. The book can be used in part as an excellent reference work for biomedical engineers, scientists, and clinicians. This is a well-written, coherent, and comprehensive work covering the major topics in the field, suitable as a standalone text The book

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