Patch release 0.0.1

Fixed itk dtype issue

README.md

@@ -6,7 +6,7 @@ This package unifies the io engines of itk, nibabel, and pydicom packages in a s
 It includes translation between the metadata conventions, reorientations, affine matrix computation.
 
 # Installation
-Download the [whl file](https://drive.google.com/file/d/1JTTrUGeshXd2m--0LK35u5RWY0CvAHVE/view?usp=sharing)
+Download the [whl file](https://drive.google.com/open?id=1cr8Tv_zNCSBN5ccWzLxVqmiK4VKueINt)
 and install it with:
 ```
 (<env-name>) C:\Users\<username>\Downloads>pip install medio-0.0-py3-none-any.whl

medio/__init__.py

@@ -1,6 +1,6 @@
 from medio.read_save import read_img, save_img
 from medio import backends, metadata, utils, medimg
 
-__version__ = '0.0'
+__version__ = '0.0.1'
 
 __all__ = ['read_img', 'save_img', '__version__']

medio/backends/itk_io.py

@@ -38,8 +38,15 @@ def read_img(input_path, desired_axcodes=None, image_type=image_type):
  return image_np, metadata
 
  @staticmethod
- def prepare_dcm_image(image_np, dtype=None):
- """Change image_np to correct data type for saving dicom"""
+ def prepare_dcm_image(image_np):
+ """Change image_np to correct data type for saving a single dicom file"""
+
+ # if the image is 2d it can be also signed
+ image_np_sq = np.squeeze(image_np)
+ if image_np_sq.ndim == 2:
+ return image_np_sq, image_np_sq.dtype
+
+ # if it is 3d, the supported data types are:
  dcm_dtypes = [np.uint8, np.uint16]
 
  if image_np.dtype in dcm_dtypes: