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Applied medical image processing : a basic course / Wolfgang Birkfellner, center for medical physics and biomedical engineering, Medical University of Vienna ; with contributions by Michael Figl and Johann Hummel, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.

By: Material type: TextTextEdition: Second editionDescription: xxxi, 423 pages ; 27 cmISBN:
  • 9781466555570 (hardcover : alk. paper)
Subject(s): DDC classification:
  • 616.07/54 23 BIR
Summary: "This widely used, classroom-tested text continues to be an ideal introduction to image processing in medicine. Updated and expanded, this edition gives more attention to the subject of color space and includes more examples from radiology, internal medicine, surgery, and radiation therapy. The book addresses problems with handling voxels, 3D data sets, spatial transforms in three dimensions, and data fusion. It shows how to visualize large data sets from modern CT systems in radiology, manufacture patient-specific prostheses for orthopedic surgery, plan dose distributions in radiation oncology, incorporate multimodal image data for therapy monitoring in internal medicine, and perform computer-aided neurosurgical interventions. Examples are given throughout and an accompanying CD-ROM includes programming techniques in MATLAB"--Provided by publisher.
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Item type Current library Collection Call number Status Date due Barcode
General Books General Books CUTN Central Library Sciences Non-fiction 616.07/54 BIR (Browse shelf(Opens below)) Available 25837

Includes bibliographical references and index.

"This widely used, classroom-tested text continues to be an ideal introduction to image processing in medicine. Updated and expanded, this edition gives more attention to the subject of color space and includes more examples from radiology, internal medicine, surgery, and radiation therapy. The book addresses problems with handling voxels, 3D data sets, spatial transforms in three dimensions, and data fusion. It shows how to visualize large data sets from modern CT systems in radiology, manufacture patient-specific prostheses for orthopedic surgery, plan dose distributions in radiation oncology, incorporate multimodal image data for therapy monitoring in internal medicine, and perform computer-aided neurosurgical interventions. Examples are given throughout and an accompanying CD-ROM includes programming techniques in MATLAB"--Provided by publisher.

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