Wolfgang Birkfellner

Applied Medical Image Processing (eBook, ePUB)

A Basic Course

• Format: ePub

Produktbeschreibung

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.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 455
• Erscheinungstermin: 19. April 2016
• Englisch
• ISBN-13: 9781498759724
• Artikelnr.: 57495563

Autorenporträt

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.

Inhaltsangabe

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.