Query/Retrieve (Find) Service Examples¶
The DICOM Query/Retrieve Service provides a mechanism for a service user to query the SOP Instances managed by a QR SCP. The QR (Find) SOP classes allow an SCU to receive a list of attributes matching the requested query. This is accomplished through the DIMSE C-FIND service.
Query/Retrieve (Find) SCU¶
Associate with a peer DICOM Application Entity and request the SCP search for SOP Instances with a Patient Name matching ‘CITIZEN^Jan’ using the Patient Root Query/Retrieve Information Model - Find at the Patient level.
from pydicom.dataset import Dataset
from pynetdicom import AE
from pynetdicom.sop_class import PatientRootQueryRetrieveInformationModelFind
# Initialise the Application Entity
ae = AE()
# Add a requested presentation context
ae.add_requested_context(PatientRootQueryRetrieveInformationModelFind)
# Create our Identifier (query) dataset
ds = Dataset()
ds.PatientName = 'CITIZEN^Jan'
ds.QueryRetrieveLevel = 'PATIENT'
# Associate with peer AE at IP 127.0.0.1 and port 11112
assoc = ae.associate('127.0.0.1', 11112)
if assoc.is_established:
# Use the C-FIND service to send the identifier
# A query_model value of 'P' means use the 'Patient Root Query Retrieve
# Information Model - Find' presentation context
responses = assoc.send_c_find(ds, query_model='P')
for (status, identifier) in responses:
print('C-FIND query status: 0x{0:04x}'.format(status.Status))
# If the status is 'Pending' then identifier is the C-FIND response
if status.Status in (0xFF00, 0xFF01):
print(identifier)
# Release the association
assoc.release()
else:
print('Association rejected or aborted')
The responses received from the SCP are dependent on the Identifier dataset keys and values, the Query/Retrieve level and the information model. For example, the following query dataset should yield C-FIND responses containing the various SOP Class UIDs that make are in each study for a patient with Patient ID ‘1234567’.
ds = Dataset()
ds.SOPClassesInStudy = ''
ds.PatientID = '1234567'
ds.StudyInstanceUID = '*'
ds.QueryRetrieveLevel = 'STUDY'
Query/Retrieve (Find) SCP¶
The following represents a toy implementation of a Query/Retrieve (Find) SCP where the SCU has sent the following Identifier dataset under the Patient Root Query Retrieve Information Model - Find context.
ds = Dataset()
ds.PatientName = 'CITIZEN^Jan'
ds.QueryRetrieveLevel = 'PATIENT'
This is a very bad way of managing stored SOP Instances, in reality its probably best to store the instance attributes in a database and run the query against that.
import os
from pydicom import dcmread
from pydicom.dataset import Dataset
from pynetdicom import AE
from pynetdicom.sop_class import PatientRootQueryRetrieveInformationModelFind
# Initialise the Application Entity and specify the listen port
ae = AE(port=11112)
# Add a requested presentation context
ae.add_supported_context(PatientRootQueryRetrieveInformationModelFind)
# Implement the AE.on_c_store callback
def on_c_find(ds, context, info):
"""Respond to a C-FIND request Identifier `ds`.
Parameters
----------
ds : pydicom.dataset.Dataset
The Identifier dataset send by the peer.
context : namedtuple
The presentation context that the dataset was sent under.
info : dict
Information about the association and query/retrieve request.
Yields
------
status : int or pydicom.dataset.Dataset
The status returned to the peer AE in the C-FIND response. Must be
a valid C-FIND status value for the applicable Service Class as
either an ``int`` or a ``Dataset`` object containing (at a
minimum) a (0000,0900) *Status* element.
identifier : pydicom.dataset.Dataset
If the status is 'Pending' then the *Identifier* ``Dataset`` for a
matching SOP Instance. The exact requirements for the C-FIND
response *Identifier* are Service Class specific (see the
DICOM Standard, Part 4).
If the status is 'Failure' or 'Cancel' then yield ``None``.
If the status is 'Success' then yield ``None``, however yielding a
final 'Success' status is not required and will be ignored if
necessary.
"""
# Import stored SOP Instances
instances = []
fdir = '/path/to/directory'
for fpath in os.listdir(fdir):
instances.append(dcmread(os.path.join(fdir, fpath)))
if 'QueryRetrieveLevel' not in ds:
# Failure
yield 0xC000, None
return
if ds.QueryRetrieveLevel == 'PATIENT':
if 'PatientName' in ds:
if ds.PatientName not in ['*', '', '?']:
matching = [
inst for inst in instances if inst.PatientName == ds.PatientName
]
# Skip the other possibile values...
# Skip the other possible attributes...
# Skip the other QR levels...
for instance in matching:
identifier = Dataset()
identifier.PatientName = instance.PatientName
identifier.QueryRetrieveLevel = ds.QueryRetrieveLevel
# Pending
yield (0xFF00, identifier)
ae.on_c_find = on_c_find
# Start listening for incoming association requests
ae.start()