Publication detail

Time Variant Thresholds - Automatic Adjustment when Filtering Signals in MR Tomography

GESCHEIDTOVÁ, E. KUBÁSEK, R. SMÉKAL, Z. BARTUŠEK, K.

Original Title

Time Variant Thresholds - Automatic Adjustment when Filtering Signals in MR Tomography

English Title

Time Variant Thresholds - Automatic Adjustment when Filtering Signals in MR Tomography

Type

conference paper

Language

en

Original Abstract

Removing noise from an FID signal (a signal detected in MR measurement) is of fundamental significance in the analysis of results of NMR spectroscopy and tomography. Optimum solution can be seen in removing noise by means of a digital filter bank that uses half-band mirror frequency filters of the type of low-pass and high-pass filters. A filtering method using digital filters and the approach of automatic threshold adjustment is described in the paper.

English abstract

Removing noise from an FID signal (a signal detected in MR measurement) is of fundamental significance in the analysis of results of NMR spectroscopy and tomography. Optimum solution can be seen in removing noise by means of a digital filter bank that uses half-band mirror frequency filters of the type of low-pass and high-pass filters. A filtering method using digital filters and the approach of automatic threshold adjustment is described in the paper.

Keywords

Time Variant Thresholds, digital filter bank, wavelet, NMR, FID signal

RIV year

2007

Released

23.03.2007

Publisher

Electromagnetics ACAD

Location

Cambridge

ISBN

978-1-934142-00-4

Book

PIERS 2007

Pages from

777

Pages to

781

Pages count

5

BibTex


@inproceedings{BUT29960,
  author="Eva {Gescheidtová} and Radek {Kubásek} and Zdeněk {Smékal} and Karel {Bartušek}",
  title="Time Variant Thresholds - Automatic Adjustment when Filtering Signals in MR Tomography",
  annote="Removing noise from an FID signal (a signal detected in MR measurement) is of fundamental significance in the analysis of results of NMR spectroscopy and tomography. Optimum solution can be seen in removing noise by means of a digital filter bank that uses half-band mirror frequency filters of the type of low-pass and high-pass filters. A filtering method using digital filters and the approach of automatic threshold adjustment is described in the paper.",
  address="Electromagnetics ACAD",
  booktitle="PIERS 2007",
  chapter="29960",
  institution="Electromagnetics ACAD",
  year="2007",
  month="march",
  pages="777--781",
  publisher="Electromagnetics ACAD",
  type="conference paper"
}