I wanted to work with pydicom for processing dicom images. Unfortunately I get the error
File "/usr/local/lib/python2.7/dist-packages/dicom/dataset.py", line 372, in _pixel_data_numpy
raise TypeError(msg % (numpy_format, self.PixelRepresentation,
UnboundLocalError: local variable 'numpy_format' referenced before assignment
in the function
def _pixel_data_numpy(self):
"""Return a NumPy array of the pixel data.
NumPy is a numerical package for python. It is used if available.
:raises TypeError: if no pixel data in this dataset.
:raises ImportError: if cannot import numpy.
"""
if 'PixelData' not in self:
raise TypeError("No pixel data found in this dataset.")
if not have_numpy:
msg = "The Numpy package is required to use pixel_array, and numpy could not be imported.\n"
raise ImportError(msg)
# determine the type used for the array
need_byteswap = (self.is_little_endian != sys_is_little_endian)
# Make NumPy format code, e.g. "uint16", "int32" etc
# from two pieces of info:
# self.PixelRepresentation -- 0 for unsigned, 1 for signed;
# self.BitsAllocated -- 8, 16, or 32
format_str = '%sint%d' % (('u', '')[self.PixelRepresentation],
self.BitsAllocated)
try:
numpy_format = numpy.dtype(format_str)
print numpy_format
except TypeError:
print "Data type not understood by NumPy!"
print format_str
msg = ("Data type not understood by NumPy: "
"format='%s', PixelRepresentation=%d, BitsAllocated=%d")
raise TypeError(msg % (numpy_format, self.PixelRepresentation,
self.BitsAllocated))
# Have correct Numpy format, so create the NumPy array
arr = numpy.fromstring(self.PixelData, numpy_format)
# XXX byte swap - may later handle this in read_file!!?
if need_byteswap:
arr.byteswap(True) # True means swap in-place, don't make a new copy
# Note the following reshape operations return a new *view* onto arr, but don't copy the data
if 'NumberOfFrames' in self and self.NumberOfFrames > 1:
if self.SamplesPerPixel > 1:
arr = arr.reshape(self.SamplesPerPixel, self.NumberOfFrames, self.Rows, self.Columns)
else:
arr = arr.reshape(self.NumberOfFrames, self.Rows, self.Columns)
else:
if self.SamplesPerPixel > 1:
if self.BitsAllocated == 8:
arr = arr.reshape(self.SamplesPerPixel, self.Rows, self.Columns)
else:
raise NotImplementedError("This code only handles SamplesPerPixel > 1 if Bits Allocated = 8")
else:
arr = arr.reshape(self.Rows, self.Columns)
return arr
When I print the variable format_str
, I get uint12
. Unfortunately I am not able to solve this bug. Is there anything I can do for solving that?
Even if I remove all print
commands (I added them for debug) I get the same error.
There are two problems here. First, a bug in pydicom: in raising the error, it is incorrectly using numpy_format
, which is undefined. It should use format_str
. I'll add an issue to correct this.
The second problem is that the file claims to have BitsAllocated of 12, which is very unusual. DICOM files typically have 12-bit pixels values but use 16-bits per pixel in the file.
You can check what it is really allocating by comparing the Rows
and Columns
to the size of the pixel data. For a single frame image (below example uses pydicom's CT_small.dcm sample file):
>>> len(ds.PixelData)
32768
>>> ds.Rows * ds.Columns * 2 # 2 bytes for 16-bit allocation
32768
If the image has multiple frames then you would have to multiply the number of frames as well. Similarly for SamplesPerPixel
.
If the size of pixel data matches as above using 2 bytes per pixel, then you can correct your problem by setting ds.BitsAllocated
to 16 before asking for pixel_array
.