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README.md

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Gannet is a free, open-source MATLAB-based software toolkit for analyzing edited single-voxel <sup>1</sup>H magnetic resonance spectroscopy (MRS) data. Its largely automated functions cover all the essential steps of modern MRS analysis:
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- Loading raw data
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- Substantial preprocessing
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- Several preprocessing steps
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- Signal modeling
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- Voxel co-registration with structural MR images
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- Concentration estimation based on tissue composition
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- Voxel co-registration to and segmentation of structural MR images
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- Metabolite concentration estimation corrected for tissue composition
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Several existing software packages for MRS data analysis require substantial user input or offer a wide selection of processing options. In contrast, the philosophy behind Gannet is to provide users with a complete automated pipeline without the need for significant user input.
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### Prerequisites
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Gannet runs in [MATLAB](https://mathworks.com/products/matlab.html). For best performance, we recommend using the latest release if possible. Additionally, Gannet requires that the following MATLAB toolboxes are installed:
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Gannet runs in [MATLAB](https://mathworks.com/products/matlab.html). For best performance, we recommend using the latest release of MATLAB if possible. Additionally, Gannet requires that the following MATLAB toolboxes are installed:
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- Image Processing
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- Optimization
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`git clone https://github.com/markmikkelsen/Gannet.git`
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The development version can be downloaded from the <a href="https://github.com/markmikkelsen/Gannet/tree/dev" target="_blank">development branch</a> on GitHub or by using the following git command if the repository was cloned:
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The development version can be downloaded from the <a href="https://github.com/markmikkelsen/Gannet/tree/dev" target="_blank">development branch</a> on GitHub or by using the following Git command if the repository was cloned:
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`git checkout dev`
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## Compatibility
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Gannet is currently being developed in MATLAB R2023b in macOS 14 Sonoma (Apple silicon). While reasonable effort is made to ensure legacy and cross-OS compatibility, an error-free user experience is not guaranteed.
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Gannet is currently being developed in MATLAB R2024b in macOS 15 Sequoia (Apple silicon). While reasonable effort is made to ensure legacy and cross-OS compatibility, an error-free user experience is not guaranteed.
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## Supported file formats
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## Acknowledgments
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The development and dissemination of Gannet has been supported by the following NIH grants:
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The development and dissemination of Gannet has been supported by the following National Institutes of Health (NIH) grants:
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- R01 EB016089
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- R01 EB023963
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- Robin de Graaf (Yale School of Medicine)
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- Xiangrui Li (Ohio State University)
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- Jamie Near (McGill University)
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- Ralph Noeske (GE Healthcare)
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- Ralph Noeske (GE HealthCare)
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- Wouter Potters (UMC Amsterdam)
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- Jan Simon (Heidelberg)

read_dcm_header.m

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elseif strfind(DicomHeader.sequenceFileName,'svs_slaser')
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DicomHeader.seqtype = 'sLASER'; % sLASER
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elseif strfind(DicomHeader.sequenceFileName,'st_vapor_643')
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DicomHeader.seqtype = 'STEAM'; % PRESS
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DicomHeader.seqtype = 'STEAM'; % STEAM
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elseif strfind(DicomHeader.sequenceFileName, '%SiemensSeq%\svs_st')
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DicomHeader.seqtype = 'STEAM'; % Siemens 7T Terra.X product STEAM sequence
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else
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DicomHeader.seqorig = DicomHeader.sequenceFileName;
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error(['Unknown sequence: ' DicomHeader.seqorig '. Please consult the Gannet team for support.'])

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