Element VRs and Python types¶

DICOM elements can contain anything from ASCII strings to unicode text, decimals, floats, signed and unsigned integers of different byte-depth and even encoded data. The format of the value of an element is given by its Value Representation or VR, and a list of VRs is given in the DICOM Standard in Part 5, Table 6.2-1.

So when using pydicom, what Python type should be used with a given VR to ensure that the value gets written correctly?

Elements of any VR:
- Can be set as empty by using None
- Can have their values set using their set using or stored as type from the table below
Non-SQ element values:
- Can also be set using a list of their set using type - for Value Multiplicity (VM) > 1, the value will be stored as a MultiValue of their stored as type
- However, according to the DICOM Standard, elements with VR LT, OB, OD, OF, OL, OW, ST, UN, UR and UT should never have a VM greater than 1.
SQ element values should be set using a list of zero or more Dataset instances.

VR	Name	Set using	Stored as (T)	Type hint for element value
AE	Application Entity	`str`	`str`	None \| T \| MutableSequence[T]
AS	Age String	`str`	`str`
AT	Attribute Tag	Tag¹	`BaseTag`
CS	Code String	`str`	`str`
DA	Date	`str`	`str` or `DA`²
DS	Decimal String	`str`, `float` or `int`	`DSfloat` or `DSdecimal`³
DT	Date Time	`str`	`str` or `DT`²
FL	Floating Point Single	`float`	`float`
FD	Floating Point Double	`float`	`float`
IS	Integer String	`str` or `int`	`IS`
LO	Long String	`str`	`str`
LT	Long Text	`str`	`str`	None \| T
OB	Other Byte	`bytes` or `io.BufferedIOBase` ⁴	`bytes` or `io.BufferedIOBase`	None \| T
OD	Other Double
OF	Other Float
OL	Other Long
OV	Other 64-bit Very Long
OW	Other Word
PN	Person Name	`str`	`PersonName`	None \| T \| MutableSequence[T]
SH	Short String	`str`	`str`
SL	Signed Long	`int`	`int`
SQ	Sequence of Items	`list`	`Sequence`	MutableSequence[ `Dataset`]
SS	Signed Short	`int`	`int`	None \| T \| MutableSequence[T]
ST	Short Text	`str`	`str`	None \| T
SV	Signed 64-bit Very Long	`int`	`int`	None \| T \| MutableSequence[T]
TM	Time	`str`	`str` or `TM`²
UC	Unlimited Characters	`str`	`str`
UI	Unique Identifier (UID)	`str`	`UID`
UL	Unsigned Long	`int`	`int`
UN	Unknown	`bytes`	`bytes`	None \| T
UR	URI/URL	`str`	`str`	None \| T
US	Unsigned Short	`int`	`int`	None \| T \| MutableSequence[T]
UT	Unlimited Text	`str`	`str`	None \| T
UV	Unsigned 64-bit Very Long	`int`	`int`	None \| T \| MutableSequence[T]

1 Any type accepted by Tag() can be used
2 If config.datetime_conversion
= True (default False)
3 If config.use_DS_decimal
= True (default False)
4 See notes for bufferable O* VRs below

Bufferable O* VRs¶

The value for elements with O* VRs (OB, OD, OF, OL, OV and OW) can be set using an object that inherits from io.BufferedIOBase such as the io.BufferedReader instances returned by the open() built-in when in read mode. This allows you to avoid having to read a large amount of data into memory when creating datasets:

from pydicom import Dataset, FileMetaDataset
from pydicom.uid import ExplicitVRLittleEndian

with open("a_large_amount_of_data", "rb") as f:
    ds = Dataset()
    ds.file_meta = FileMetaDataset()
    ds.file_meta.TransferSyntaxUID = ExplicitVRLittleEndian
    ds.PixelData = f
    ds.save_as("large_dataset.dcm")

To use a buffered Pixel Data value with a dataset that has a compressed transfer syntax such as JPEG 2000 Lossles, the encapsulate_buffer() and encapsulate_extended_buffer() functions can be used to encapsulate the buffered frames:

from pydicom import Dataset, FileMetaDataset
from pydicom.encaps import encapsulate_buffer
from pydicom.uid import JPEG2000Lossless

with open("a_large_jpeg2000_file.j2k", "rb") as f:
    ds = Dataset()
    ds.file_meta = FileMetaDataset()
    ds.file_meta.TransferSyntaxUID = JPEG2000Lossless
    ds.PixelData = encapsulate_buffer([f])
    ds.save_as("large_compressed_dataset.dcm")

However, be aware that Datasets containing buffered objects that don’t normally work with pickle or deepcopy() such as BufferedReader are not able to be pickled or deepcopied.