Processing tracking in jMRUI software for magnetic resonance spectra quantitation reproducibility assurance
Michał Jabłoński1,2, Jana Starčuková3, Zenon Starčuk3
1Institute of Scientific Instruments of the CAS, Královopolská 147, 612 64, Brno, Czech Republic. jmj@isibrno.cz.
BMC Bioinformatics
|January 25, 2017
Summary
This study introduces a jMRUI software enhancement for tracking proton magnetic resonance spectroscopy (MRS) data processing. The new database system ensures efficient, unambiguous file identification and history tracking for metabolic analysis.
Area of Science:
- Biophysics
- Biochemistry
- Medical Imaging
Background:
- Proton magnetic resonance spectroscopy (MRS) is a non-invasive technique for measuring intracellular metabolites.
- Processing MRS data in specialized software like jMRUI is complex and iterative.
- Efficient tracking of processing steps and file identification is crucial for data integrity.
Purpose of the Study:
- To enhance jMRUI with a system for efficient and unambiguous history tracking and file identification.
- To improve the user experience in processing MRS data.
Main Methods:
- Development of a Java-based solution integrated into jMRUI.
- Implementation of a SQL database for storing processing steps and parameters.
- Utilizing SHA-256 hash codes for unambiguous file identification.
Main Results:
- A database system for jMRUI was successfully developed and integrated.
- The system provides robust storage of processing parameters and file information.
- A user-friendly graphical interface was implemented for seamless operation.
Conclusions:
- The jMRUI database significantly aids users in tracking data processing history.
- The tool enhances usability, robustness, and ease of use for MRS data analysis.
- Users can easily access processing history, original data locations, and processing actions.
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