Applied Medical Image Processing PDF ePub eBook

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Applied Medical Image Processing free pdf

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(r).

About Wolfgang Birkfellner

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.

Details Book

Author : Wolfgang Birkfellner
Publisher : Taylor
Data Published : 15 November 2013
ISBN : 1466555572
EAN : 9781466555570
Format Book : PDF, Epub, DOCx, TXT
Number of Pages : 443 pages
Age + : 15 years
Language : English
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  • Applied Medical Image Processing free pdfApplied Medical Image Processing

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    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 spac