def image(data):
"""
Creates a NiBabel image for the supplied data. The image object will be of a generic
type and only made concrete during the saving process (nibabel.loadsave.save() takes
care of this). No special meta-data can be associated with the image.
@param data: a numpy array of arbitrary type
@return: a NiBabel image for data of generic type SpatialImage
"""
image = SpatialImage(data, None)
image.update_header()
return image
def image(data):
"""
Creates a NiBabel image for the supplied data. The image object will be of a generic
type and only made concrete during the saving process (nibabel.loadsave.save() takes
care of this). No special meta-data can be associated with the image.
@param data: a numpy array of arbitrary type
@return: a NiBabel image for data of generic type SpatialImage
"""
image = SpatialImage(data, None)
image.update_header()
return image
def image_new(data, filename):
"""
Creates a NiBabel image for the supplied data. The function intends to directly
create the appropriate image type, depending on the image header.
@param data: a numpy array of arbitrary type
@param filename the intended filename with the file ending telling the image type
@return: a NiBabel image for data of any nibabel image type
"""
# extract suffix and return apropriate image
suffix = filename.split('.')[-1].lower()
if not suffix in __suffix_to_type:
suffix = '.'.join(map(lambda x: x.lower(), filename.split('.')[-2:]))
if not suffix in __suffix_to_type:
image = SpatialImage(data, None)
image.update_header()
return image
image = __suffix_to_type[suffix](data, None)
image.update_header()
return image
def image_new(data, filename):
"""
Creates a NiBabel image for the supplied data. The function intends to directly
create the appropriate image type, depending on the image header.
@param data: a numpy array of arbitrary type
@param filename the intended filename with the file ending telling the image type
@return: a NiBabel image for data of any nibabel image type
"""
# extract suffix and return apropriate image
suffix = filename.split('.')[-1].lower()
if not suffix in __suffix_to_type:
suffix = '.'.join(map(lambda x: x.lower(), filename.split('.')[-2:]))
if not suffix in __suffix_to_type:
image = SpatialImage(data, None)
image.update_header()
return image
image = __suffix_to_type[suffix](data, None)
image.update_header()
return image
