Java-based graphical user interface for the MRUI quantitation package
Top Cited Papers
- 1 June 2001
- journal article
- research article
- Published by Springer Nature in Magnetic Resonance Materials in Physics, Biology and Medicine
- Vol. 12 (2-3) , 141-52
- https://doi.org/10.1007/bf02668096
Abstract
This article describes the Java-based version of the magnetic resonance user interface (MRUI) quantitation package. This package allows MR spectroscopists to easily perform time-domain analysis of in vivo MR spectroscopy data. We show that the Java programming language is very well suited for developing highly interactive graphical software applications such as the MRUI software. We have also established that MR quantitation algorithms, programmed in other languages, can easily be embedded into the Java-based MRUI by using the Java native interface (JNI). This new graphical user interface (GUI) has been conceived for the processing of large data sets and uses prior knowledge data-bases to make interactive quantitation algorithms more userfriendly.Keywords
This publication has 19 references indexed in Scilit:
- Water Peak Suppression: Time-Frequency vs Time-Scale ApproachJournal of Magnetic Resonance, 2000
- Fast Removal of Residual Water in Proton SpectraJournal of Magnetic Resonance, 1998
- Improved Method for Accurate and Efficient Quantification of MRS Data with Use of Prior KnowledgeJournal of Magnetic Resonance, 1997
- The Continuous Wavelet Transform, an Analysis Tool for NMR SpectroscopyJournal of Magnetic Resonance, 1997
- The Use of Continuous Regularization in the Automated Analysis of MRS Time-Domain DataJournal of Magnetic Resonance, 1997
- Algorithm for Time-Domain NMR Data Fitting Based on Total Least SquaresJournal of Magnetic Resonance, Series A, 1994
- Improvements of Quantitation by Using the Cadzow Enhancement Procedure Prior to Any Linear-Prediction MethodsJournal of Magnetic Resonance, Series B, 1994
- Full Automation of Quantitation of in Vivo NMR by LPSVD(CR) and EPLPSVDJournal of Magnetic Resonance, Series B, 1994
- Automatic in vivo nmr data processing based on an enhancement procedure and linear prediction methodMagnetic Resonance in Medicine, 1992
- Accurate quantification of in vivo31P NMR signals using the variable projection method and prior knowledgeMagnetic Resonance in Medicine, 1988