CareLit Fachartikel

Graphical User Interface for Reconstruction and Visualization of High-Resolution Susceptibility-Weighted MR Data

A Deistung, A Rauscher, J Sedlacik, JR Reichenbach · Klinische Neurophysiologie · 2004 · Heft 08

Dokument
1131887
CareLit-ID
Jahr
2004
Publikation
PDF
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Metadaten
DOI
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Bibliografische Angaben

Zeitschrift
Klinische Neurophysiologie
Autor:innen
A Deistung, A Rauscher, J Sedlacik, JR Reichenbach
Ausgabe
Heft 08 / 2004
Seiten
–
Erschienen: 2004-08-25 00:00:00
ISSN
1434-0275

Zusammenfassung

Purpose: In recent years, BOLD-MR venography [1] (also named susceptibility-weighted imaging, SWI) has been established for the examination of tumors [2, 3] and for studying physiological processes [4]. The creation of BOLD venograms starting from k-space data requires a combination of magnitude and phase information in a rather sophisticated manner. This has not been implemented in MRI scanners yet. Therefore, a platform-independent graphical user interface (GUI) has been developed for the generation and extensive analysis of SWI data. Materials and Methods: High-resolution 3D scans of the human brain of volunt…

Schlagworte

Data Analysis Algorithms Physicians Klinische Neurophysiologie