About: Fast Calculation of T2 Relaxation Time in Magnetic Resonance Imaging

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Fast Calculation of T2 Relaxation Time in Magnetic Resonance Imaging Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	The main parameters displayed by means of magnetic resonance include, for example, relaxation times T1 and T2 or diffusion parameters. This paper presents the computation of relaxation time T2 measured indirectly with the Spin Echo method. The sensing coil of the tomograph provides a signal in which the important factor is the location of the peaks from individual measurements. These points must be interleaved with an exponential function. The relaxation time T2 can be directly determined from the exponential shape. The described process has to be repeated for each pixel of the sensed tissue, and this requirement makes the processing of larger images very demanding in terms of both the actual computation and the time needed for the entire operation. More concretely, if we assume the common resolution of 256x256, 20 slices, and five measurements with different times TE, it is necessary to reconstruct 1.3x106 exponential functions in total, which requires the processing of more than 6 MB of data. At pre The main parameters displayed by means of magnetic resonance include, for example, relaxation times T1 and T2 or diffusion parameters. This paper presents the computation of relaxation time T2 measured indirectly with the Spin Echo method. The sensing coil of the tomograph provides a signal in which the important factor is the location of the peaks from individual measurements. These points must be interleaved with an exponential function. The relaxation time T2 can be directly determined from the exponential shape. The described process has to be repeated for each pixel of the sensed tissue, and this requirement makes the processing of larger images very demanding in terms of both the actual computation and the time needed for the entire operation. More concretely, if we assume the common resolution of 256x256, 20 slices, and five measurements with different times TE, it is necessary to reconstruct 1.3x106 exponential functions in total, which requires the processing of more than 6 MB of data. At pre (en)
Title	Fast Calculation of T2 Relaxation Time in Magnetic Resonance Imaging Fast Calculation of T2 Relaxation Time in Magnetic Resonance Imaging (en)
skos:prefLabel	Fast Calculation of T2 Relaxation Time in Magnetic Resonance Imaging Fast Calculation of T2 Relaxation Time in Magnetic Resonance Imaging (en)
skos:notation	RIV/00216305:26220/14:PU110561!RIV15-MSM-26220___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(EE2.3.30.0039), P(GAP102/12/1104)
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Mikulka, Jan Dvořák, Pavel
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoké učení technické v Brně / Fakulta elektrotechniky a komunikačních technologií
http://linked.open...dnocenehoVysledku	16494
http://linked.open...ai/riv/idVysledku	RIV/00216305:26220/14:PU110561
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	CUDA, GPGPU, relaxation time, MRI (en)
http://linked.open.../riv/klicoveSlovo	relaxation time CUDA GPGPU MRI
http://linked.open...ontrolniKodProRIV	[B63C64AAAD1B]
http://linked.open...v/mistoKonaniAkce	Guangzhou
http://linked.open...i/riv/mistoVydani	Guangzhou, Čína
http://linked.open...i/riv/nazevZdroje	Proceedings of PIERS 2014 in Guangzhou
http://linked.open...in/vavai/riv/obor	JA
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...vavai/riv/projekt	Excellent young researcher at BUT Study of metabolism and localization of high grade glioma using MR imaging techniques
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Dvořák, Pavel Mikulka, Jan
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2014-08-25 (xsd:date)
number of pages	5 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Neuveden
https://schema.org/isbn	978-1-934142-28-8
http://localhost/t...ganizacniJednotka	26220

Faceted Search & Find service v1.16.118 as of Jun 21 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 48 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software