Can not access pixel_array attribute pydicom











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I am trying to do a project. Unfortuantely I can read the dicom files, but when I try to access pixel_array attribute and plot it, it is throwing error.



def readDcm(self):
#path of the decomFolder
print("Path to the DICOM directory is: ",self.dcmPath)
PathDicom = self.dcmPath
lstFilesDCM = # creating an empty list
for dirName, subdirList, fileList in os.walk(PathDicom):
for filename in fileList:
if ".dcm" in filename.lower(): # checking whether the file's DICOM
lstFilesDCM.append(os.path.join(dirName,filename))


print(len(lstFilesDCM))

for filename in lstFilesDCM:
currentDcm = pydicom.read_file(lstFilesDCM[0])
dcm_data = currentDcm.PixelData
pixeldata= currentDcm.pixel_array


the error is:



File "C:Anaconda3libsite-packagespydicompixel_data_handlerspillow_handler.py", line 199, in get_pixeldata
raise NotImplementedError(e.strerror)

NotImplementedError: None


Any suggestion would be nice. Thank you in advance.



Solved Solution:



def load_scan(path):
slices = [dicom.read_file(path + '/' + s) for s in os.listdir(path)]
slices.sort(key = lambda x: float(x.ImagePositionPatient[2]))
pos1 = slices[int(len(slices)/2)].ImagePositionPatient[2]
pos2 = slices[(int(len(slices)/2)) + 1].ImagePositionPatient[2]
diff = pos2 - pos1
if diff > 0:
slices = np.flipud(slices)
try:
slice_thickness = np.abs(slices[0].ImagePositionPatient[2] - slices[1].ImagePositionPatient[2])
except:
slice_thickness = np.abs(slices[0].SliceLocation - slices[1].SliceLocation)

for s in slices:
s.SliceThickness = slice_thickness
return slices









share|improve this question




























    up vote
    1
    down vote

    favorite












    I am trying to do a project. Unfortuantely I can read the dicom files, but when I try to access pixel_array attribute and plot it, it is throwing error.



    def readDcm(self):
    #path of the decomFolder
    print("Path to the DICOM directory is: ",self.dcmPath)
    PathDicom = self.dcmPath
    lstFilesDCM = # creating an empty list
    for dirName, subdirList, fileList in os.walk(PathDicom):
    for filename in fileList:
    if ".dcm" in filename.lower(): # checking whether the file's DICOM
    lstFilesDCM.append(os.path.join(dirName,filename))


    print(len(lstFilesDCM))

    for filename in lstFilesDCM:
    currentDcm = pydicom.read_file(lstFilesDCM[0])
    dcm_data = currentDcm.PixelData
    pixeldata= currentDcm.pixel_array


    the error is:



    File "C:Anaconda3libsite-packagespydicompixel_data_handlerspillow_handler.py", line 199, in get_pixeldata
    raise NotImplementedError(e.strerror)

    NotImplementedError: None


    Any suggestion would be nice. Thank you in advance.



    Solved Solution:



    def load_scan(path):
    slices = [dicom.read_file(path + '/' + s) for s in os.listdir(path)]
    slices.sort(key = lambda x: float(x.ImagePositionPatient[2]))
    pos1 = slices[int(len(slices)/2)].ImagePositionPatient[2]
    pos2 = slices[(int(len(slices)/2)) + 1].ImagePositionPatient[2]
    diff = pos2 - pos1
    if diff > 0:
    slices = np.flipud(slices)
    try:
    slice_thickness = np.abs(slices[0].ImagePositionPatient[2] - slices[1].ImagePositionPatient[2])
    except:
    slice_thickness = np.abs(slices[0].SliceLocation - slices[1].SliceLocation)

    for s in slices:
    s.SliceThickness = slice_thickness
    return slices









    share|improve this question


























      up vote
      1
      down vote

      favorite









      up vote
      1
      down vote

      favorite











      I am trying to do a project. Unfortuantely I can read the dicom files, but when I try to access pixel_array attribute and plot it, it is throwing error.



      def readDcm(self):
      #path of the decomFolder
      print("Path to the DICOM directory is: ",self.dcmPath)
      PathDicom = self.dcmPath
      lstFilesDCM = # creating an empty list
      for dirName, subdirList, fileList in os.walk(PathDicom):
      for filename in fileList:
      if ".dcm" in filename.lower(): # checking whether the file's DICOM
      lstFilesDCM.append(os.path.join(dirName,filename))


      print(len(lstFilesDCM))

      for filename in lstFilesDCM:
      currentDcm = pydicom.read_file(lstFilesDCM[0])
      dcm_data = currentDcm.PixelData
      pixeldata= currentDcm.pixel_array


      the error is:



      File "C:Anaconda3libsite-packagespydicompixel_data_handlerspillow_handler.py", line 199, in get_pixeldata
      raise NotImplementedError(e.strerror)

      NotImplementedError: None


      Any suggestion would be nice. Thank you in advance.



      Solved Solution:



      def load_scan(path):
      slices = [dicom.read_file(path + '/' + s) for s in os.listdir(path)]
      slices.sort(key = lambda x: float(x.ImagePositionPatient[2]))
      pos1 = slices[int(len(slices)/2)].ImagePositionPatient[2]
      pos2 = slices[(int(len(slices)/2)) + 1].ImagePositionPatient[2]
      diff = pos2 - pos1
      if diff > 0:
      slices = np.flipud(slices)
      try:
      slice_thickness = np.abs(slices[0].ImagePositionPatient[2] - slices[1].ImagePositionPatient[2])
      except:
      slice_thickness = np.abs(slices[0].SliceLocation - slices[1].SliceLocation)

      for s in slices:
      s.SliceThickness = slice_thickness
      return slices









      share|improve this question















      I am trying to do a project. Unfortuantely I can read the dicom files, but when I try to access pixel_array attribute and plot it, it is throwing error.



      def readDcm(self):
      #path of the decomFolder
      print("Path to the DICOM directory is: ",self.dcmPath)
      PathDicom = self.dcmPath
      lstFilesDCM = # creating an empty list
      for dirName, subdirList, fileList in os.walk(PathDicom):
      for filename in fileList:
      if ".dcm" in filename.lower(): # checking whether the file's DICOM
      lstFilesDCM.append(os.path.join(dirName,filename))


      print(len(lstFilesDCM))

      for filename in lstFilesDCM:
      currentDcm = pydicom.read_file(lstFilesDCM[0])
      dcm_data = currentDcm.PixelData
      pixeldata= currentDcm.pixel_array


      the error is:



      File "C:Anaconda3libsite-packagespydicompixel_data_handlerspillow_handler.py", line 199, in get_pixeldata
      raise NotImplementedError(e.strerror)

      NotImplementedError: None


      Any suggestion would be nice. Thank you in advance.



      Solved Solution:



      def load_scan(path):
      slices = [dicom.read_file(path + '/' + s) for s in os.listdir(path)]
      slices.sort(key = lambda x: float(x.ImagePositionPatient[2]))
      pos1 = slices[int(len(slices)/2)].ImagePositionPatient[2]
      pos2 = slices[(int(len(slices)/2)) + 1].ImagePositionPatient[2]
      diff = pos2 - pos1
      if diff > 0:
      slices = np.flipud(slices)
      try:
      slice_thickness = np.abs(slices[0].ImagePositionPatient[2] - slices[1].ImagePositionPatient[2])
      except:
      slice_thickness = np.abs(slices[0].SliceLocation - slices[1].SliceLocation)

      for s in slices:
      s.SliceThickness = slice_thickness
      return slices






      python pydicom






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      share|improve this question




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      edited Nov 30 at 12:25

























      asked Nov 20 at 8:51









      Makau

      215




      215
























          2 Answers
          2






          active

          oldest

          votes

















          up vote
          0
          down vote













          Without any further context, it's difficult to assert anything. However, when I look at the way you collect the potential DICOM files, you are probably constructing not existing path (it looks like you skip one hierarchy level when joining path parts back; you may want to check that the constructed path actually points to an existing files using os.path.exists()).



          You may want to change the iterating part:



              for dirName, subdirList, fileList in os.walk(PathDicom):
          for filename in fileList:
          if ".dcm" in filename.lower(): # checking whether the file's DICOM
          lstFilesDCM.append(os.path.join(dirName,filename)) # <-you cut one potential hierarchy level


          with something like:



          dicom_files = 
          for d, dirs, files in os.walk('./data/'):
          for x in files:
          if x.endswith(".png"):
          dicom_path = os.path.join(d, x)
          if os.path.exists(dicom_path):
          dicom_files.append(dicom_path)





          share|improve this answer























          • I tried, but problem still exists.
            – Makau
            Nov 20 at 9:31










          • Just to let you know, I can access other attributes but not pixel_array
            – Makau
            Nov 20 at 9:38










          • Can you reproduce the error with the Matplotlib way of displaying the array? pydicom.github.io/pydicom/stable/viewing_images.html
            – leoburgy
            Nov 20 at 9:42










          • Yes, I am using exactly the same syntex. Using the test data files, it is ok. But with my data. I get the error.
            – Makau
            Nov 20 at 9:47












          • Looking at the source code of pillow_handler.py, it looks like your error is piping when checking the jpeg plugin. Did you check that the jpeg plugin is installed in your environment? Maybe useful: stackoverflow.com/a/10109941/5202571
            – leoburgy
            Nov 20 at 11:42


















          up vote
          0
          down vote



          accepted










          I sorted the dicom files according to the axis which was in increasing order by using ImagePositionPatient attribute. Which solved my problem. I was able to access pixel_array attribute and plot. The code is added to original question. I add it below too.



          def load_scan(path):
          slices = [dicom.read_file(path + '/' + s) for s in os.listdir(path)]
          slices.sort(key = lambda x: float(x.ImagePositionPatient[2]))
          pos1 = slices[int(len(slices)/2)].ImagePositionPatient[2]
          pos2 = slices[(int(len(slices)/2)) + 1].ImagePositionPatient[2]
          diff = pos2 - pos1
          if diff > 0:
          slices = np.flipud(slices)
          try:
          slice_thickness = np.abs(slices[0].ImagePositionPatient[2] - slices[1].ImagePositionPatient[2])
          except:
          slice_thickness = np.abs(slices[0].SliceLocation - slices[1].SliceLocation)

          for s in slices:
          s.SliceThickness = slice_thickness
          return slices


          code source:https://www.programcreek.com/python/example/97517/dicom.read_file






          share|improve this answer





















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            2 Answers
            2






            active

            oldest

            votes








            2 Answers
            2






            active

            oldest

            votes









            active

            oldest

            votes






            active

            oldest

            votes








            up vote
            0
            down vote













            Without any further context, it's difficult to assert anything. However, when I look at the way you collect the potential DICOM files, you are probably constructing not existing path (it looks like you skip one hierarchy level when joining path parts back; you may want to check that the constructed path actually points to an existing files using os.path.exists()).



            You may want to change the iterating part:



                for dirName, subdirList, fileList in os.walk(PathDicom):
            for filename in fileList:
            if ".dcm" in filename.lower(): # checking whether the file's DICOM
            lstFilesDCM.append(os.path.join(dirName,filename)) # <-you cut one potential hierarchy level


            with something like:



            dicom_files = 
            for d, dirs, files in os.walk('./data/'):
            for x in files:
            if x.endswith(".png"):
            dicom_path = os.path.join(d, x)
            if os.path.exists(dicom_path):
            dicom_files.append(dicom_path)





            share|improve this answer























            • I tried, but problem still exists.
              – Makau
              Nov 20 at 9:31










            • Just to let you know, I can access other attributes but not pixel_array
              – Makau
              Nov 20 at 9:38










            • Can you reproduce the error with the Matplotlib way of displaying the array? pydicom.github.io/pydicom/stable/viewing_images.html
              – leoburgy
              Nov 20 at 9:42










            • Yes, I am using exactly the same syntex. Using the test data files, it is ok. But with my data. I get the error.
              – Makau
              Nov 20 at 9:47












            • Looking at the source code of pillow_handler.py, it looks like your error is piping when checking the jpeg plugin. Did you check that the jpeg plugin is installed in your environment? Maybe useful: stackoverflow.com/a/10109941/5202571
              – leoburgy
              Nov 20 at 11:42















            up vote
            0
            down vote













            Without any further context, it's difficult to assert anything. However, when I look at the way you collect the potential DICOM files, you are probably constructing not existing path (it looks like you skip one hierarchy level when joining path parts back; you may want to check that the constructed path actually points to an existing files using os.path.exists()).



            You may want to change the iterating part:



                for dirName, subdirList, fileList in os.walk(PathDicom):
            for filename in fileList:
            if ".dcm" in filename.lower(): # checking whether the file's DICOM
            lstFilesDCM.append(os.path.join(dirName,filename)) # <-you cut one potential hierarchy level


            with something like:



            dicom_files = 
            for d, dirs, files in os.walk('./data/'):
            for x in files:
            if x.endswith(".png"):
            dicom_path = os.path.join(d, x)
            if os.path.exists(dicom_path):
            dicom_files.append(dicom_path)





            share|improve this answer























            • I tried, but problem still exists.
              – Makau
              Nov 20 at 9:31










            • Just to let you know, I can access other attributes but not pixel_array
              – Makau
              Nov 20 at 9:38










            • Can you reproduce the error with the Matplotlib way of displaying the array? pydicom.github.io/pydicom/stable/viewing_images.html
              – leoburgy
              Nov 20 at 9:42










            • Yes, I am using exactly the same syntex. Using the test data files, it is ok. But with my data. I get the error.
              – Makau
              Nov 20 at 9:47












            • Looking at the source code of pillow_handler.py, it looks like your error is piping when checking the jpeg plugin. Did you check that the jpeg plugin is installed in your environment? Maybe useful: stackoverflow.com/a/10109941/5202571
              – leoburgy
              Nov 20 at 11:42













            up vote
            0
            down vote










            up vote
            0
            down vote









            Without any further context, it's difficult to assert anything. However, when I look at the way you collect the potential DICOM files, you are probably constructing not existing path (it looks like you skip one hierarchy level when joining path parts back; you may want to check that the constructed path actually points to an existing files using os.path.exists()).



            You may want to change the iterating part:



                for dirName, subdirList, fileList in os.walk(PathDicom):
            for filename in fileList:
            if ".dcm" in filename.lower(): # checking whether the file's DICOM
            lstFilesDCM.append(os.path.join(dirName,filename)) # <-you cut one potential hierarchy level


            with something like:



            dicom_files = 
            for d, dirs, files in os.walk('./data/'):
            for x in files:
            if x.endswith(".png"):
            dicom_path = os.path.join(d, x)
            if os.path.exists(dicom_path):
            dicom_files.append(dicom_path)





            share|improve this answer














            Without any further context, it's difficult to assert anything. However, when I look at the way you collect the potential DICOM files, you are probably constructing not existing path (it looks like you skip one hierarchy level when joining path parts back; you may want to check that the constructed path actually points to an existing files using os.path.exists()).



            You may want to change the iterating part:



                for dirName, subdirList, fileList in os.walk(PathDicom):
            for filename in fileList:
            if ".dcm" in filename.lower(): # checking whether the file's DICOM
            lstFilesDCM.append(os.path.join(dirName,filename)) # <-you cut one potential hierarchy level


            with something like:



            dicom_files = 
            for d, dirs, files in os.walk('./data/'):
            for x in files:
            if x.endswith(".png"):
            dicom_path = os.path.join(d, x)
            if os.path.exists(dicom_path):
            dicom_files.append(dicom_path)






            share|improve this answer














            share|improve this answer



            share|improve this answer








            edited Nov 20 at 9:27

























            answered Nov 20 at 8:57









            leoburgy

            1086




            1086












            • I tried, but problem still exists.
              – Makau
              Nov 20 at 9:31










            • Just to let you know, I can access other attributes but not pixel_array
              – Makau
              Nov 20 at 9:38










            • Can you reproduce the error with the Matplotlib way of displaying the array? pydicom.github.io/pydicom/stable/viewing_images.html
              – leoburgy
              Nov 20 at 9:42










            • Yes, I am using exactly the same syntex. Using the test data files, it is ok. But with my data. I get the error.
              – Makau
              Nov 20 at 9:47












            • Looking at the source code of pillow_handler.py, it looks like your error is piping when checking the jpeg plugin. Did you check that the jpeg plugin is installed in your environment? Maybe useful: stackoverflow.com/a/10109941/5202571
              – leoburgy
              Nov 20 at 11:42


















            • I tried, but problem still exists.
              – Makau
              Nov 20 at 9:31










            • Just to let you know, I can access other attributes but not pixel_array
              – Makau
              Nov 20 at 9:38










            • Can you reproduce the error with the Matplotlib way of displaying the array? pydicom.github.io/pydicom/stable/viewing_images.html
              – leoburgy
              Nov 20 at 9:42










            • Yes, I am using exactly the same syntex. Using the test data files, it is ok. But with my data. I get the error.
              – Makau
              Nov 20 at 9:47












            • Looking at the source code of pillow_handler.py, it looks like your error is piping when checking the jpeg plugin. Did you check that the jpeg plugin is installed in your environment? Maybe useful: stackoverflow.com/a/10109941/5202571
              – leoburgy
              Nov 20 at 11:42
















            I tried, but problem still exists.
            – Makau
            Nov 20 at 9:31




            I tried, but problem still exists.
            – Makau
            Nov 20 at 9:31












            Just to let you know, I can access other attributes but not pixel_array
            – Makau
            Nov 20 at 9:38




            Just to let you know, I can access other attributes but not pixel_array
            – Makau
            Nov 20 at 9:38












            Can you reproduce the error with the Matplotlib way of displaying the array? pydicom.github.io/pydicom/stable/viewing_images.html
            – leoburgy
            Nov 20 at 9:42




            Can you reproduce the error with the Matplotlib way of displaying the array? pydicom.github.io/pydicom/stable/viewing_images.html
            – leoburgy
            Nov 20 at 9:42












            Yes, I am using exactly the same syntex. Using the test data files, it is ok. But with my data. I get the error.
            – Makau
            Nov 20 at 9:47






            Yes, I am using exactly the same syntex. Using the test data files, it is ok. But with my data. I get the error.
            – Makau
            Nov 20 at 9:47














            Looking at the source code of pillow_handler.py, it looks like your error is piping when checking the jpeg plugin. Did you check that the jpeg plugin is installed in your environment? Maybe useful: stackoverflow.com/a/10109941/5202571
            – leoburgy
            Nov 20 at 11:42




            Looking at the source code of pillow_handler.py, it looks like your error is piping when checking the jpeg plugin. Did you check that the jpeg plugin is installed in your environment? Maybe useful: stackoverflow.com/a/10109941/5202571
            – leoburgy
            Nov 20 at 11:42












            up vote
            0
            down vote



            accepted










            I sorted the dicom files according to the axis which was in increasing order by using ImagePositionPatient attribute. Which solved my problem. I was able to access pixel_array attribute and plot. The code is added to original question. I add it below too.



            def load_scan(path):
            slices = [dicom.read_file(path + '/' + s) for s in os.listdir(path)]
            slices.sort(key = lambda x: float(x.ImagePositionPatient[2]))
            pos1 = slices[int(len(slices)/2)].ImagePositionPatient[2]
            pos2 = slices[(int(len(slices)/2)) + 1].ImagePositionPatient[2]
            diff = pos2 - pos1
            if diff > 0:
            slices = np.flipud(slices)
            try:
            slice_thickness = np.abs(slices[0].ImagePositionPatient[2] - slices[1].ImagePositionPatient[2])
            except:
            slice_thickness = np.abs(slices[0].SliceLocation - slices[1].SliceLocation)

            for s in slices:
            s.SliceThickness = slice_thickness
            return slices


            code source:https://www.programcreek.com/python/example/97517/dicom.read_file






            share|improve this answer

























              up vote
              0
              down vote



              accepted










              I sorted the dicom files according to the axis which was in increasing order by using ImagePositionPatient attribute. Which solved my problem. I was able to access pixel_array attribute and plot. The code is added to original question. I add it below too.



              def load_scan(path):
              slices = [dicom.read_file(path + '/' + s) for s in os.listdir(path)]
              slices.sort(key = lambda x: float(x.ImagePositionPatient[2]))
              pos1 = slices[int(len(slices)/2)].ImagePositionPatient[2]
              pos2 = slices[(int(len(slices)/2)) + 1].ImagePositionPatient[2]
              diff = pos2 - pos1
              if diff > 0:
              slices = np.flipud(slices)
              try:
              slice_thickness = np.abs(slices[0].ImagePositionPatient[2] - slices[1].ImagePositionPatient[2])
              except:
              slice_thickness = np.abs(slices[0].SliceLocation - slices[1].SliceLocation)

              for s in slices:
              s.SliceThickness = slice_thickness
              return slices


              code source:https://www.programcreek.com/python/example/97517/dicom.read_file






              share|improve this answer























                up vote
                0
                down vote



                accepted







                up vote
                0
                down vote



                accepted






                I sorted the dicom files according to the axis which was in increasing order by using ImagePositionPatient attribute. Which solved my problem. I was able to access pixel_array attribute and plot. The code is added to original question. I add it below too.



                def load_scan(path):
                slices = [dicom.read_file(path + '/' + s) for s in os.listdir(path)]
                slices.sort(key = lambda x: float(x.ImagePositionPatient[2]))
                pos1 = slices[int(len(slices)/2)].ImagePositionPatient[2]
                pos2 = slices[(int(len(slices)/2)) + 1].ImagePositionPatient[2]
                diff = pos2 - pos1
                if diff > 0:
                slices = np.flipud(slices)
                try:
                slice_thickness = np.abs(slices[0].ImagePositionPatient[2] - slices[1].ImagePositionPatient[2])
                except:
                slice_thickness = np.abs(slices[0].SliceLocation - slices[1].SliceLocation)

                for s in slices:
                s.SliceThickness = slice_thickness
                return slices


                code source:https://www.programcreek.com/python/example/97517/dicom.read_file






                share|improve this answer












                I sorted the dicom files according to the axis which was in increasing order by using ImagePositionPatient attribute. Which solved my problem. I was able to access pixel_array attribute and plot. The code is added to original question. I add it below too.



                def load_scan(path):
                slices = [dicom.read_file(path + '/' + s) for s in os.listdir(path)]
                slices.sort(key = lambda x: float(x.ImagePositionPatient[2]))
                pos1 = slices[int(len(slices)/2)].ImagePositionPatient[2]
                pos2 = slices[(int(len(slices)/2)) + 1].ImagePositionPatient[2]
                diff = pos2 - pos1
                if diff > 0:
                slices = np.flipud(slices)
                try:
                slice_thickness = np.abs(slices[0].ImagePositionPatient[2] - slices[1].ImagePositionPatient[2])
                except:
                slice_thickness = np.abs(slices[0].SliceLocation - slices[1].SliceLocation)

                for s in slices:
                s.SliceThickness = slice_thickness
                return slices


                code source:https://www.programcreek.com/python/example/97517/dicom.read_file







                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered Nov 30 at 12:27









                Makau

                215




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