@@ -24,13 +24,12 @@ pip install dicomtrolley
2424### Basic example
2525
2626``` python
27- # Create a logged-in http session
28- session = VitreaConnection(
29- " https://server/login" ).log_in(user,password,realm)
27+ # Create a http session
28+ session = create_session(" https://server/login" ,user,password,realm)
3029
3130# Use this session to create a trolley using MINT and WADO
3231trolley = Trolley(searcher = Mint(session, " https://server/mint" ),
33- wado = Wado(session, " https://server/wado" ] ))
32+ wado = Wado(session, " https://server/wado" ))
3433
3534# find some studies (using MINT)
3635studies = trolley.find_studies(Query(PatientName = ' B*' ))
@@ -60,11 +59,11 @@ studies = trolley.find_studies(
6059To include series and instance level information as well, use the ` queryLevel ` parameter
6160
6261``` python
63- studies = trolley.find_studies( # find studies series and instances
62+ studies = trolley.find_studies( # find studies series and instances
6463 Query(studyInstanceID = ' B*' ,
65- query_level = QueryLevels.INSTANCE )
64+ query_level = QueryLevels.INSTANCE ))
6665
67- a_series = studies.series[0 ] # studies now contain series
66+ a_series = studies.series[0 ] # studies now contain series
6867an_instance = a_series.instances[0 ] # and series contain instances
6968```
7069
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