Open mha image files in Python (2015 brats challenge dataset)












0















I want to use deep learning for medical image segmentation as my graduation thesis, the data used is 2015 brats challenge.



for example:
MHA file



but i don't how to open the .mha files by use python.I use the tensorflow framework, so it's more convenient to use python, and besides that, I need to do some preprocessing of the data graph.



from medpy.io import load
url = r'G:pathtomine.mha'
mage_data,image_header = load(url)


Then:



medpy.core.exceptions.DependencyError: Loading images of type Itk/Vtk MetaImage (.mhd, .mha/.raw) requires a third-party module that could not be encountered. Reason: No module named 'filter'.




The brats challenge is an international competition.But I don't know what network structure I'm supposed to use to train my network. If you have good advice, please let me know.










share|improve this question





























    0















    I want to use deep learning for medical image segmentation as my graduation thesis, the data used is 2015 brats challenge.



    for example:
    MHA file



    but i don't how to open the .mha files by use python.I use the tensorflow framework, so it's more convenient to use python, and besides that, I need to do some preprocessing of the data graph.



    from medpy.io import load
    url = r'G:pathtomine.mha'
    mage_data,image_header = load(url)


    Then:



    medpy.core.exceptions.DependencyError: Loading images of type Itk/Vtk MetaImage (.mhd, .mha/.raw) requires a third-party module that could not be encountered. Reason: No module named 'filter'.




    The brats challenge is an international competition.But I don't know what network structure I'm supposed to use to train my network. If you have good advice, please let me know.










    share|improve this question



























      0












      0








      0








      I want to use deep learning for medical image segmentation as my graduation thesis, the data used is 2015 brats challenge.



      for example:
      MHA file



      but i don't how to open the .mha files by use python.I use the tensorflow framework, so it's more convenient to use python, and besides that, I need to do some preprocessing of the data graph.



      from medpy.io import load
      url = r'G:pathtomine.mha'
      mage_data,image_header = load(url)


      Then:



      medpy.core.exceptions.DependencyError: Loading images of type Itk/Vtk MetaImage (.mhd, .mha/.raw) requires a third-party module that could not be encountered. Reason: No module named 'filter'.




      The brats challenge is an international competition.But I don't know what network structure I'm supposed to use to train my network. If you have good advice, please let me know.










      share|improve this question
















      I want to use deep learning for medical image segmentation as my graduation thesis, the data used is 2015 brats challenge.



      for example:
      MHA file



      but i don't how to open the .mha files by use python.I use the tensorflow framework, so it's more convenient to use python, and besides that, I need to do some preprocessing of the data graph.



      from medpy.io import load
      url = r'G:pathtomine.mha'
      mage_data,image_header = load(url)


      Then:



      medpy.core.exceptions.DependencyError: Loading images of type Itk/Vtk MetaImage (.mhd, .mha/.raw) requires a third-party module that could not be encountered. Reason: No module named 'filter'.




      The brats challenge is an international competition.But I don't know what network structure I'm supposed to use to train my network. If you have good advice, please let me know.







      python tensorflow deep-learning






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Nov 7 '17 at 15:11







      hey6775

















      asked Nov 7 '17 at 6:45









      hey6775hey6775

      218




      218
























          1 Answer
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          3














          You can use MedPy package for this.



          sudo apt-get install python-pip python-numpy python-scipy libboost-python-dev build-essential


          Then:



          sudo pip install nibabel pydicom medpy


          And the Python usage:



          from medpy.io import load
          mage_data, image_header = load('/path/to/image.mha')


          The library supports some useful preprocessing and analysis functions as well.



          Good luck!






          share|improve this answer
























          • ,sorry,It seems that there have been some mistakes.

            – hey6775
            Nov 7 '17 at 15:08











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          1 Answer
          1






          active

          oldest

          votes








          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes









          3














          You can use MedPy package for this.



          sudo apt-get install python-pip python-numpy python-scipy libboost-python-dev build-essential


          Then:



          sudo pip install nibabel pydicom medpy


          And the Python usage:



          from medpy.io import load
          mage_data, image_header = load('/path/to/image.mha')


          The library supports some useful preprocessing and analysis functions as well.



          Good luck!






          share|improve this answer
























          • ,sorry,It seems that there have been some mistakes.

            – hey6775
            Nov 7 '17 at 15:08
















          3














          You can use MedPy package for this.



          sudo apt-get install python-pip python-numpy python-scipy libboost-python-dev build-essential


          Then:



          sudo pip install nibabel pydicom medpy


          And the Python usage:



          from medpy.io import load
          mage_data, image_header = load('/path/to/image.mha')


          The library supports some useful preprocessing and analysis functions as well.



          Good luck!






          share|improve this answer
























          • ,sorry,It seems that there have been some mistakes.

            – hey6775
            Nov 7 '17 at 15:08














          3












          3








          3







          You can use MedPy package for this.



          sudo apt-get install python-pip python-numpy python-scipy libboost-python-dev build-essential


          Then:



          sudo pip install nibabel pydicom medpy


          And the Python usage:



          from medpy.io import load
          mage_data, image_header = load('/path/to/image.mha')


          The library supports some useful preprocessing and analysis functions as well.



          Good luck!






          share|improve this answer













          You can use MedPy package for this.



          sudo apt-get install python-pip python-numpy python-scipy libboost-python-dev build-essential


          Then:



          sudo pip install nibabel pydicom medpy


          And the Python usage:



          from medpy.io import load
          mage_data, image_header = load('/path/to/image.mha')


          The library supports some useful preprocessing and analysis functions as well.



          Good luck!







          share|improve this answer












          share|improve this answer



          share|improve this answer










          answered Nov 7 '17 at 11:51









          rkellermrkellerm

          3,22463878




          3,22463878













          • ,sorry,It seems that there have been some mistakes.

            – hey6775
            Nov 7 '17 at 15:08



















          • ,sorry,It seems that there have been some mistakes.

            – hey6775
            Nov 7 '17 at 15:08

















          ,sorry,It seems that there have been some mistakes.

          – hey6775
          Nov 7 '17 at 15:08





          ,sorry,It seems that there have been some mistakes.

          – hey6775
          Nov 7 '17 at 15:08




















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