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A widely used, classroom-tested text, Applied Medical Image Processing: A Basic Course delivers an ideal introduction to image processing in medicine, emphasizing the clinical relevance and special requirements of the field.
A widely used, classroom-tested text, Applied Medical Image Processing: A Basic Course delivers an ideal introduction to image processing in medicine, emphasizing the clinical relevance and special requirements of the field.
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.
1: A Few Basics of Medical Image Sources. 2: Image Processing in Clinical Practice. 3: Image Representation. 4: Operations in Intensity Space. 5: Filtering and Transformations. 6: Segmentation. 7: Spatial Transforms. 8: Rendering and Surface Models. 9: Registration. 10: CT Reconstruction. 11: Machine Learning. 12: A tutorial on image guided therapy. 13: A Selection of MATLAB Commands. 14: Glossary. 15: List of MATLAB sample scripts. 16: Index.
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.
1: A Few Basics of Medical Image Sources. 2: Image Processing in Clinical Practice. 3: Image Representation. 4: Operations in Intensity Space. 5: Filtering and Transformations. 6: Segmentation. 7: Spatial Transforms. 8: Rendering and Surface Models. 9: Registration. 10: CT Reconstruction. 11: Machine Learning. 12: A tutorial on image guided therapy. 13: A Selection of MATLAB Commands. 14: Glossary. 15: List of MATLAB sample scripts. 16: Index.
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