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BARTUŠEK, K. GESCHEIDTOVÁ, E.
Originální název
Choice of suitable wavelets for MR image processing
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
Magnetic nuclear resonance is used in particular as a diagnostic imaging method. Images of selected parts of organs must be of sufficient quality for doctors to be able to not miss any details and to make reliable diagnoses. The detected images are often of low contrast and resolution. They are mainly subjected to noise, whose level depends, among other things, on the level of the signal being detected, local proton density, voxel size, bandwidth, system design, quality of RF coil, and detection parameters [1], [2], [3]. Noise is in the same frequency band as the image spectral components that carry the details. Suppressing noise without knowing its properties must be a compromise between the desired smoothing and improvement of signal to-noise-ratio (SNR) on the one hand and the loss of details on the other hand. If the filtering method is applied in order to remove noise from MR images, a correct choice of individual filtering parameters is important. In the paper, the selection is described of wavelets suitable for improving the quality of MR images of temporomandibular joint [4] and their evaluation according to three criteria: increased SNR, steepness of the change in signal intensity in the image, and the change in contrast.
Klíčová slova
SNR, MR imaging, wavelets,
Autoři
BARTUŠEK, K.; GESCHEIDTOVÁ, E.
Rok RIV
2010
Vydáno
22. 3. 2010
Nakladatel
Tne Electromagnetic Academy
Místo
Xian, Čína
ISBN
978-1-934142-12-7
Kniha
PIERS 2010 Xian
Strany od
1565
Strany do
1568
Strany počet
4
BibTex
@inproceedings{BUT30069, author="Karel {Bartušek} and Eva {Gescheidtová}", title="Choice of suitable wavelets for MR image processing", booktitle="PIERS 2010 Xian", year="2010", pages="1565--1568", publisher="Tne Electromagnetic Academy", address="Xian, Čína", isbn="978-1-934142-12-7" }