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At the MRS Hackathon, we will collaborate on smaller and bigger projects that will benefit the MRS community. You can join a project or pitch an idea of your own to the attendees! If you'd like to get a head start and have your project pitch listed below, contact us!
At the MRS Hackathon, we will collaborate on smaller and bigger projects that will benefit the MRS community. You can join a project or pitch an idea of your own to the attendees! If you'd like to get a head start and have your project pitch listed below, contact us!
Standardized multi-language processing library
Standardized multi-language processing library
One of the main reasons why MRS is still not widely used for multi-site clinical studies is the enormous diversity in data processing methods. Virtually every lab has tailor-made 'in-house' code that they have sometimes cultivated for decades. Unfortunately, MRS metabolite concentration estimates are extremely sensitive to details of data processing, modeling, and quantification workflows.
This project aims to create a standardized library of basic and advanced data processing classes in the most widely used programming languages (Python, MATLAB, R, C++). The foundational building blocks of this library will be the basic MRS processing steps (zero-filling, line-broadening, concatenating and splitting transients, etc.). As the library grows, more complex methods will be incorporated.
We will build all classes around the new NIfTI-MRS data storage specification to ensure optimal interoperability and translatability of processing workflows.
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