3DiCSI

Analyze CSI data fast and easy.
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3DiCSI Ranking & Summary

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  • Rating:
  • License:
  • Freeware
  • Publisher Name:
  • Qi Zhao
  • Operating Systems:
  • Windows All
  • File Size:
  • 3.3 MB

3DiCSI Tags


3DiCSI Description

3DiCSI is a small, simple, easy to use application developed to help you interpret Chemical Shift Imaging (CSI) data. It combines data visualization, spectral processing, spectral localization and estimation, spectral quantification together with multi-variate analytical procedures, such as Principal Component Analysis (PCA) and constrained Non-negative Matrix Factorization (cNMF). In particular, cNMF provides an efficient way to recover underlying spectral patterns that are physically meaningful. Main features: Data Input and Visualization: Automatic importation of 1D/2D/3D CSI raw data from Philips, GE, Siemens and Bruker scanners. Any unknown data type can be imported by manually entering parameters. Any additional formats are also supported through third-party plug-ins. CSI data and anatomic reference images are registered and displayed in the same window. Each voxel is displayed in a separate window, its spatial location clearly visualized in the three orthogonal image windows. 3D image reconstruction from images in one orientation. Multi-dimensional Spectral Data Processing: Constant phase and linear phase correction. Temporal filtering ( Lorentzian, Gaussian, or combined). Spatial smoothing ( Hamming, Cosine, Fermi). Baseline correction. Water suppression. PPM origin adjustment and zero filling. Lipid Suppression. Peak alignment. Batch Processing: Sequence of processing steps can be recorded in a macro file and applied to the CSI data set. The same macro file can be applied to a series of exams in a batch mode. Spectral Localization: Real-time mouse-facilitated interactive voxel shifting in all 3 dimensions. Averaging of selected multiple voxels. Spectral estimation of a user drawn 2D/3D region of interest. Multi-variate spectral analysis: Principal Component Analysis (PCA) for user defined spectral region and ROI, to identify Principal Components (PCs) for the variation sources contained in the CSI data set. PCA-based iterative peak align procedure to remove frequency and phase variations. Constrained Non-Negative Matrix Factorization (cNMF) method to recover spectral patterns and their spatial distributions that are physically meaningful. Spectral Quantification: Metabolic map generation using area integration and PCA. Map generation for peak ratio and for user defined regions. Absolute quantification of metabolite concentration using reference spectrum. Map display scale adjustment to enable comparison between different sets. Spectral integration with user-controlled baseline correction. Data Output: Various result output options, such as HTML format report, CSI slice and image print out, display copy and paste functions, spectral ascii/binary exportation, metabolic image exportation. Program extensibility: Plug-in mechanism to support CSI data importation module developed by third-party.


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