Current page SLOW-EPSI

Example dataset and processing notes

SLOW-EPSI

SLOW-EPSI combines spectral editing with an echo-planar spectroscopic imaging readout, making it possible to inspect edited metabolite maps in a spatially resolved MRSI dataset. In spectrIm-QMRS this page is intended as the starting point for learning how to load, view, and process SLOW-EPSI example data on a local PC.

The method is described in the paper SLOW: a novel spectral editing method for whole-brain MRSI at ultra high magnetic field by Weng and co-workers, published in Magnetic Resonance in Medicine in 2022, DOI 10.1002/mrm.29220.

spectrIm-QMRS Clinical Viewer showing a SLOW-EPSI dataset
SLOW-EPSI dataset displayed in the spectrIm-QMRS Clinical Viewer on top of the anatomical T1-weighted image stack acquired on a Terra 7T scanner, with MRSI map overlay, selected voxels, and linked spectrum display.

Technique in brief

SLOW stands for SLOtboom-Weng editing. The original work introduced SLOW as a spectral-editing strategy for whole-brain MRSI at ultra-high field, using chemically selective adiabatic refocusing pulses in an EPSI framework. The design was motivated by the need to perform spatially resolved editing of coupled resonances while retaining broad anatomical coverage and manageable acquisition times.

The technique was originally developed for ultra-high-field MRSI at 7T, but the sequence is now also available for 3T use. This is important clinically, because 3T systems are much more widely available than 7T scanners. With suitable acquisition and reconstruction, high-resolution GABA/Glx mapping can also be performed at 3T.

spectrIm-QMRS does not replace the sequence reconstruction pipeline. Instead, it provides the clinical viewer, grid overlay, spectrum display, voxel selection, preprocessing, modelling, and quantification environment in which reconstructed SLOW-EPSI data can be inspected and analysed.

Example dataset downloads

This page provides separate SLOW-EPSI downloads for different use cases. Most spectrIm-QMRS users should start with the preprocessed, ready-to-view example package. The raw scanner-data archive is much larger and is intended for users who want to reproduce the MATLAB reconstruction route. The files are served from a NAS server in Switzerland, so especially the raw-data download may take a long time. Faster mirror links will be added later when the same archives have been uploaded to higher-bandwidth servers.

Preprocessed spectrIm-QMRS example

The preprocessed example contains MATLAB-reconstructed SLOW-EPSI spectra and DICOM grid-definition data that can be loaded directly in spectrIm-QMRS for viewing, voxel selection, map display, and further analysis.

Download ready-to-view SLOW-EPSI example

SLOW_EPSI-Data-4-spectrIm-QMRS.zip, approx. 454.8 MB (433.7 MiB). This is the recommended first download for users who want to learn the spectrIm-QMRS workflow without reconstructing the scanner raw data first.

Raw SLOW-EPSI data and MATLAB reconstruction scripts

The raw Terra 7T SLOW-EPSI scanner data are provided for users who want to reproduce the reconstruction route. At present, SLOW-EPSI cannot yet be reconstructed directly on the Terra scanner, so the reconstruction is performed with MATLAB routines before the resulting spectroscopy files are loaded into spectrIm-QMRS.

The raw scanner data therefore require the MATLAB reconstruction scripts before they become ready-to-load spectrIm-QMRS spectroscopy files.

Download raw SLOW-EPSI scanner data & MATLAB scripts

SLOW_EPSI_Example_RawData.zip, approx. 13,535.0 MB (12,908.0 MiB). This is a very large archive; please expect a long download time from the current NAS server. Faster mirror downloads will be added later.

Processing pipeline video

The following video walks through processing a raw SLOW-EPSI dataset with MATLAB reconstruction and subsequent loading, viewing, and inspection in spectrIm-QMRS. It is intended as a practical companion to the raw-data and ready-to-view example downloads below.

SLOW-EPSI processing pipeline: raw scanner data are reconstructed with MATLAB scripts and then inspected in spectrIm-QMRS. Video size: approx. 37.8 MB (36.0 MiB). Download video.

Folder structure

The ready-to-view example dataset is organized into three top-level folders. This structure separates structural MRI images, reconstructed SLOW-EPSI spectroscopy files, and empty DICOM objects that define the MRSI voxel grid for spectrIm-QMRS.

SLOW-EPSI example dataset folder structure
Example SLOW-EPSI ready-to-view dataset folder structure: structural MRI images, MRSI dummy DICOM grid-definition objects, and reconstructed spectroscopy files.

MATLAB-preprocessed spectroscopy files

The MATLAB-preprocessed folder contains spectroscopy files that can be loaded in spectrIm-QMRS. These files represent the reconstructed SLOW-EPSI output rather than raw scanner data. They allow users to focus first on viewing, selecting voxels, inspecting spectra, and preparing analysis steps inside spectrIm-QMRS.

MATLAB-preprocessed SLOW-EPSI SID files
MATLAB-preprocessed SLOW-EPSI files: Matlab_ful.sid for SLOW-full, Matlab_par.sid for SLOW-partial, Matlab_dif.sid for the SLOW-difference spectrum, and Matlab_wat.sid for the water reference.

How spectrIm-QMRS uses the three folders

Structural MRI images

The MRI folder contains structural images of the subject from the examination in which the SLOW-EPSI acquisition was recorded. These images provide the anatomical background onto which spectrIm-QMRS can draw the MRSI grid and spectroscopy-derived maps.

Reconstructed spectroscopy files

The xfData_filtered folder contains reconstructed SLOW-EPSI spectroscopy files. These are the spectroscopy datasets that can be opened, viewed, and analysed directly in spectrIm-QMRS.

MRSI dummy DICOM grid data

The MRSIDummyDicom folder contains empty DICOM images with the dimensions, positions, and slice information of the spectroscopy voxels. These DICOM objects define the spatial MRSI grid and allow spectrIm-QMRS to draw that grid on top of the structural MRI data.

Recommended first workflow

Start with the reconstructed spectroscopy files in xfData_filtered and the grid-definition objects in MRSIDummyDicom. Once these load correctly, add the structural MRI image stack from MRI so that the SLOW-EPSI grid and maps can be inspected in anatomical context.

References

Primary SLOW paper: PubMed record, DOI 10.1002/mrm.29220.