Python pydicom.read_file方法代碼示例

# 需要導入模塊: import pydicom [as 別名]
# 或者: from pydicom import read_file [as 別名]
def is_file_a_dicom(file):
    """
    Check whether a given file is of type DICOM

    :param file: path to the file to identify
     :type file: str

    :return: True if the file is DICOM, False otherwise
     :rtype: bool

    """

    try:
        dicom.read_file(file)
    except InvalidDicomError:
        return False
    return True 

# 需要導入模塊: import pydicom [as 別名]
# 或者: from pydicom import read_file [as 別名]
def read_dicom_series(directory, filepattern="P_*"):
    """ Reads a DICOM Series files in the given directory.
    Only filesnames matching filepattern will be considered"""

    if not os.path.exists(directory) or not os.path.isdir(directory):
        raise ValueError("Given directory does not exist or is a file : " + str(directory))
    # print('\tRead Dicom', directory)
    lstFilesDCM = natsort.natsorted(glob.glob(os.path.join(directory, filepattern)))
    # print('\tLength dicom series', len(lstFilesDCM))
    # Get ref file
    RefDs = dicom.read_file(lstFilesDCM[0])
    # Load dimensions based on the number of rows, columns, and slices (along the Z axis)
    ConstPixelDims = (int(RefDs.Rows), int(RefDs.Columns), len(lstFilesDCM))
    # The array is sized based on 'ConstPixelDims'
    ArrayDicom = np.zeros(ConstPixelDims, dtype=RefDs.pixel_array.dtype)

    # loop through all the DICOM files
    for filenameDCM in lstFilesDCM:
        # read the file
        ds = dicom.read_file(filenameDCM)
        # store the raw image data
        ArrayDicom[:, :, lstFilesDCM.index(filenameDCM)] = ds.pixel_array

    return ArrayDicom 

# 需要導入模塊: import pydicom [as 別名]
# 或者: from pydicom import read_file [as 別名]
def read_file(dicom_file, defer_size=None, stop_before_pixels=False, force=False):
    if _is_compressed(dicom_file, force):
        # https://github.com/icometrix/dicom2nifti/issues/46 thanks to C-nit
        try:
            with tempfile.NamedTemporaryFile(delete=False) as fp:
                fp.close()
                _decompress_dicom(dicom_file, output_file=fp.name)

            return pydicom.read_file(fp.name,
                                     defer_size=None,  # We can't defer
                                     stop_before_pixels=stop_before_pixels,
                                     force=force)
        finally:
            os.remove(fp.name)

    dicom_header = pydicom.read_file(dicom_file,
                                     defer_size=defer_size,
                                     stop_before_pixels=stop_before_pixels,
                                     force=force)
    return dicom_header 

# 需要導入模塊: import pydicom [as 別名]
# 或者: from pydicom import read_file [as 別名]
def is_dicom_file(filename):
    """
    Util function to check if file is a dicom file
    the first 128 bytes are preamble
    the next 4 bytes should contain DICM otherwise it is not a dicom

    :param filename: file to check for the DICM header block
    :type filename: str
    :returns: True if it is a dicom file
    """
    file_stream = open(filename, 'rb')
    file_stream.seek(128)
    data = file_stream.read(4)
    file_stream.close()
    if data == b'DICM':
        return True
    if settings.pydicom_read_force:
        try:
            dicom_headers = pydicom.read_file(filename, defer_size="1 KB", stop_before_pixels=True, force=True)
            if dicom_headers is not None:
                return True
        except:
            pass
    return False 

# 需要導入模塊: import pydicom [as 別名]
# 或者: from pydicom import read_file [as 別名]
def _is_compressed(dicom_file, force=False):
    """
    Check if dicoms are compressed or not
    """
    header = pydicom.read_file(dicom_file,
                               defer_size="1 KB",
                               stop_before_pixels=True,
                               force=force)

    uncompressed_types = ["1.2.840.10008.1.2",
                          "1.2.840.10008.1.2.1",
                          "1.2.840.10008.1.2.1.99",
                          "1.2.840.10008.1.2.2"]

    if 'TransferSyntaxUID' in header.file_meta and header.file_meta.TransferSyntaxUID in uncompressed_types:
        return False
    return True 

# 需要導入模塊: import pydicom [as 別名]
# 或者: from pydicom import read_file [as 別名]
def create_DICOM_Array(PathDicom):
    filenames_list = []

    file_list = os.listdir(PathDicom)
    for file in file_list:
        filenames_list.append(PathDicom + file)
    datasets = [dicom.read_file(f) \
                for f in filenames_list]
    try:
        voxel_ndarray, _ = dicom_numpy.combine_slices(datasets)
        voxel_ndarray = voxel_ndarray.astype(float)
        voxel_ndarray = np.swapaxes(voxel_ndarray, 0, 1)
        print(voxel_ndarray.dtype)
        # voxel_ndarray = voxel_ndarray[:-1:]
        # print(voxel_ndarray.shape)
    except dicom_numpy.DicomImportException:
        # invalid DICOM data
        raise

    print(voxel_ndarray.shape)
    return voxel_ndarray 

# 需要導入模塊: import pydicom [as 別名]
# 或者: from pydicom import read_file [as 別名]
def test_replace_identifiers(self):
        print("Testing deid.dicom replace_identifiers")
        from deid.dicom import replace_identifiers
        from deid.dicom import get_identifiers

        from pydicom import read_file

        dicom_files = get_dicom(self.dataset, return_dir=True)
        ids = get_identifiers(dicom_files)

        # Before blanking, 28 fields don't have blanks
        notblanked = read_file(dicom_files[0])
        notblanked_fields = [
            x for x in notblanked.dir() if notblanked.get(x) != ""
        ]  # 28
        self.assertTrue(len(notblanked_fields) == 28)

        updated_files = replace_identifiers(dicom_files, ids, output_folder=self.tmpdir)

        # After replacing only 9 don't have blanks
        blanked = read_file(updated_files[0])
        blanked_fields = [x for x in blanked.dir() if blanked.get(x) != ""]
        self.assertTrue(len(blanked_fields) == 9) 

# 需要導入模塊: import pydicom [as 別名]
# 或者: from pydicom import read_file [as 別名]
def save_dicom(self, output_folder=None, image_type="cleaned"):
        """save a cleaned dicom to disk. We expose an option to save
           an original (change image_type to "original" to be consistent,
           although this is not incredibly useful given it would duplicate
           the original data.
        """
        # Having clean also means has dicom image
        if hasattr(self, image_type):
            dicom_name = self._get_clean_name(output_folder)
            dicom = read_file(self.dicom_file, force=True)
            # If going from compressed, change TransferSyntax
            if dicom.file_meta.TransferSyntaxUID.is_compressed is True:
                dicom.decompress()
            dicom.PixelData = self.cleaned.tostring()
            dicom.save_as(dicom_name)
            return dicom_name
        else:
            bot.warning("use detect() --> clean() before saving is possible.") 

# 需要導入模塊: import pydicom [as 別名]
# 或者: from pydicom import read_file [as 別名]
def load(self, dicom_file, force=True):
        """Ensure that the dicom file exists, and use full path. Here
           we load the file, and save the dicom, dicom_file, and dicom_name.
        """
        # Reset seen, which is generated when we parse
        self.seen = []

        # The user might already have provided a dataset
        if isinstance(dicom_file, Dataset):
            self.dicom = dicom_file
        else:

            # If we must read the file, the path must exist
            if not os.path.exists(dicom_file):
                bot.exit("%s does not exist." % dicom_file)
            self.dicom = read_file(dicom_file, force=force)

        # Set class variables that might be helpful later
        self.dicom_file = os.path.abspath(self.dicom.filename)
        self.dicom_name = os.path.basename(self.dicom_file) 

# 需要導入模塊: import pydicom [as 別名]
# 或者: from pydicom import read_file [as 別名]
def load_study(instance_filepaths):
    """Loads a study with pydicom and sorts slices in z-axis.
    Calculates slice thickness and writes it in the read dicom file.
    """
    slices = [pydicom.read_file(fp) for fp in instance_filepaths]
    slices.sort(key=lambda s: float(s.ImagePositionPatient[2]))
    try:
        slice_thickness = np.abs(slices[0].ImagePositionPatient[2] - slices[1].ImagePositionPatient[2])
    except:
        slice_thickness = np.abs(slices[0].SliceLocation - slices[1].SliceLocation)

    if slice_thickness == 0:
        for i in range(1, len(slices) - 2):
            try:
                slice_thickness = np.abs(slices[i].ImagePositionPatient[2] - slices[i+1].ImagePositionPatient[2])
            except:
                slice_thickness = np.abs(slices[i].SliceLocation - slices[i+1].SliceLocation)
            if slice_thickness > 0:
                break

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

# 需要導入模塊: import pydicom [as 別名]
# 或者: from pydicom import read_file [as 別名]
def get_tarfile_headers(path, stop_after_first=False):
    """
    Get headers for dicom files within a tarball
    """
    tar = tarfile.open(path)
    members = tar.getmembers()

    manifest = {}
    # for each dir, we want to inspect files inside of it until we find a dicom
    # file that has header information
    for f in [x for x in members if x.isfile()]:
        dirname = os.path.dirname(f.name)
        if dirname in manifest:
            continue
        try:
            manifest[dirname] = dcm.read_file(tar.extractfile(f))
            if stop_after_first:
                break
        except dcm.filereader.InvalidDicomError:
            continue
    return manifest 

# 需要導入模塊: import pydicom [as 別名]
# 或者: from pydicom import read_file [as 別名]
def get_zipfile_headers(path, stop_after_first=False):
    """
    Get headers for a dicom file within a zipfile
    """
    zf = zipfile.ZipFile(path)

    manifest = {}
    for f in zf.namelist():
        dirname = os.path.dirname(f)
        if dirname in manifest:
            continue
        try:
            manifest[dirname] = dcm.read_file(io.BytesIO(zf.read(f)))
            if stop_after_first:
                break
        except dcm.filereader.InvalidDicomError:
            continue
        except zipfile.BadZipfile:
            logger.warning(f"Error in zipfile:{path}")
            break
    return manifest 

# 需要導入模塊: import pydicom [as 別名]
# 或者: from pydicom import read_file [as 別名]
def from_files(cls, files: List[str]) -> "DicomData":
        data = []
        modality = None

        for file_path in files:
            f = pydicom.read_file(file_path)
            print(f"Reading {file_path}...")

            # Get modality
            if modality:
                if modality != f.Modality:
                    raise RuntimeError("Cannot mix images from different modalities")
            elif f.Modality not in cls.ALLOWED_MODALITIES:
                raise RuntimeError(f"{f.Modality} modality not supported.")
            else:
                modality = f.Modality
            data.append(cls._read_pixel_data(f))
        return cls(np.array(data), modality=modality) 

# 需要導入模塊: import pydicom [as 別名]
# 或者: from pydicom import read_file [as 別名]
def save_train_file(f, encode_df, out_path, img_size):
	img = pydicom.read_file(f).pixel_array
	name = f.split('/')[-1][:-4]
	encode = list(encode_df.loc[encode_df['ImageId'] == name, ' EncodedPixels'].values)
	encode = get_mask(encode,img.shape[1],img.shape[0])
	encode = resize(encode,(img_size,img_size))
	img = resize(img,(img_size,img_size))
	
	cv2.imwrite('{}/train/{}.png'.format(out_path, name), img * 255)
	cv2.imwrite('{}/mask/{}.png'.format(out_path, name), encode) 

# 需要導入模塊: import pydicom [as 別名]
# 或者: from pydicom import read_file [as 別名]
def save_test_file(f, out_path, img_size):
	img = pydicom.read_file(f).pixel_array
	name = f.split('/')[-1][:-4]
	img = resize(img,(img_size,img_size)) * 255
	cv2.imwrite('{}/test/{}.png'.format(out_path, name), img)