Mathematics

Download e-book for kindle: Computer Vision and Mathematical Methods in Medical and by James F. Greenleaf, Mostafa Fatemi, Marek Belohlavek

By James F. Greenleaf, Mostafa Fatemi, Marek Belohlavek (auth.), Milan Sonka, Ioannis A. Kakadiaris, Jan Kybic (eds.)

ISBN-10: 3540226753

ISBN-13: 9783540226758

Medical imaging and clinical photo analysisare speedily constructing. whereas m- ical imaging has already develop into a typical of recent therapy, clinical photo research continues to be regularly played visually and qualitatively. The ev- expanding quantity of obtained facts makes it very unlikely to make use of them in complete. both very important, the visible ways to clinical photograph research are recognized to su?er from an absence of reproducibility. A signi?cant researche?ort is dedicated to constructing algorithms for processing the wealth of information to be had and extracting the correct info in a automatic and quantitative type. clinical imaging and picture research are interdisciplinary components combining electric, laptop, and biomedical engineering; computing device technology; mathem- ics; physics; facts; biology; medication; and different ?elds. clinical imaging and computing device imaginative and prescient, curiously adequate, have built and proceed constructing a little bit independently. however, bringing them jointly can provide to b- e?t either one of those ?elds. We have been enthusiastic while the organizers of the 2004 eu convention on computing device imaginative and prescient (ECCV) allowed us to prepare a satellite tv for pc workshop dedicated to scientific photograph analysis.

Show description

Read or Download Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis: ECCV 2004 Workshops CVAMIA and MMBIA, Prague, Czech Republic, May 15, 2004, Revised Selected Papers PDF

Similar mathematics books

Read e-book online Biomathematik: Mathematische Modelle in der Medizinischen PDF

Die Phänomene in Medizin und Computational lifestyles Sciences lassen sich in wachsendem Maße mit mathematischen Modellen beschreiben. In diesem Buch werden Mechanismen der Modellbildung beginnend von einfachen Ansätzen (z. B. exponentielles Wachstum) bis zu Elementen moderner Theorien, wie z. B. unterschiedliche Zeitskalen in der Michaelis-Menten-Theorie in der Enzymkinetik, vorgestellt.

Additional info for Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis: ECCV 2004 Workshops CVAMIA and MMBIA, Prague, Czech Republic, May 15, 2004, Revised Selected Papers

Sample text

546–552 16. X. D. Thesis, Massachusetts Institute of Technology, Dept. of Mathematics, Cambridge, MA, September 2001 AQUATICS Reconstruction Software: The Design of a Diagnostic Tool Based on Computer Vision Algorithms Andrea Giachetti and Gianluigi Zanetti CRS4 - Parco Scientifico e Tecnologico POLARIS, Edificio 1, Loc. it Abstract.

A primary (direct) image of an object is obtained when gamma photons emitted from this object have gone through the medium without being deflected by Compton scattering and entered directly the collimator along the axis of the camera (see figure 1). The number of such photons is unfortunately very small compared to the total number of emitted photons in all directions by the object. This ideal image although in one-to-one correspondence with the object is quite faint and also blurred by noise, secondary scattering against the collimator walls, fluctuations of measurement electronics, etc.

Up to now efforts are generally concentrated in eliminating scattered photons. In most commonly used techniques scattered photons are separated from the non-scattered (or primary) ones. Whatever the method used, scattered photons are either eliminated from the overall counts or filtered by narrow energy windows around the photopeak energy. But is discarding Compton scattered photons necessarily the best idea? A primary (direct) image of an object is obtained when gamma photons emitted from this object have gone through the medium without being deflected by Compton scattering and entered directly the collimator along the axis of the camera (see figure 1).

Download PDF sample

Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis: ECCV 2004 Workshops CVAMIA and MMBIA, Prague, Czech Republic, May 15, 2004, Revised Selected Papers by James F. Greenleaf, Mostafa Fatemi, Marek Belohlavek (auth.), Milan Sonka, Ioannis A. Kakadiaris, Jan Kybic (eds.)


by James
4.0

Rated 4.88 of 5 – based on 49 votes