Git Product home page Git Product logo

Comments (5)

sinhaharsh avatar sinhaharsh commented on August 17, 2024

Seems like ImageType Attribute can be used to differentiate between raw and derived data. Raw scans have the value ORIGINAL, and the Derived sequences have the value DERIVED.

For example,

Modality Image Type Attribute
AAHead_Scout_64ch-head-coil_MPR_cor ['DERIVED', 'PRIMARY', 'MPR', 'ND', 'NORM']
T2w_FLAIR ['ORIGINAL', 'PRIMARY', 'M', 'NORM', 'DIS2D']
asl_3d_MedAir ['ORIGINAL', 'PRIMARY', 'ASL', 'NONE', 'ND', 'NORM', 'MOSAIC']
Perfusion_Weighted ['DERIVED', 'PRIMARY', 'ASL', 'ND', 'NORM', 'SUB', 'TTEST', 'MOSAIC']
MoCoSeries ['ORIGINAL', 'PRIMARY', 'M', 'ND', 'NORM', 'MOCO', 'MOSAIC']

It is interesting how MocoSeries is not annotated as DERIVED. But we can use the string 'MOCO' to detect it.

Relevant Discussion: nipy/heudiconv#266

from mrqa.

raamana avatar raamana commented on August 17, 2024

fantastic - great find. we can inject a filter for this.

We need to have a modular and easy way to maintain various list of filters, based on various attributes (dicom tags, file names etc) some to be ignored (directly at the MRdataset) and some to be not reported at the report level. Let's gather requirements (soft terminology) and make a plan for how to implement it first before delving into it.

also, we need to document it well, which reminds me, we need a new page in mrQA docs explaining how users should read our report. For the most part our HTML report is very self explanatory, but some users need a bit more with navigation into the different sections, and their interpretation etc, and a list of what is being ignored while generating the report for the sake of completeness

from mrqa.

neurolabusc avatar neurolabusc commented on August 17, 2024

Be warned Siemens enhanced DICOMs only use specification defined values in the ImageType field (0008,0008). Therefore, I would expect terms like MOCO would appear in the ImageTypeText field (0021,1175). For this reason, data from a Siemens XA scanner will vary the verbosity of 0008,0008 when exporting to classic versus enhanced DICOM.

For examples, see XA30 classic and enhanced images.

I think derived is in the eye of the beholder for reconstructed MR data.

from mrqa.

raamana avatar raamana commented on August 17, 2024

thanks for the warnings and details Chris, appreciate it, although we didn't need even more complexity to worry about :).

is the Enhanced DICOM the only format available from the XA30 versions going forward? what libraries do you recommend for reading Enhanced DICOMs? I hope the pydicom or dcmstack or one of your libraries does the job for us, so we can focus on mrQA :)

from mrqa.

sinhaharsh avatar sinhaharsh commented on August 17, 2024

We are using ImageType Attribute to detect Moco series and derived sequences in dicom_utils

from mrqa.

Related Issues (20)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.