Can not access pixel_array attribute pydicom

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:\Anaconda3\lib\site-packages\pydicom\pixel_data_handlers\pillow_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 

Answer 1

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