pynetdicom | A Python implementation of the DICOM networking protocol | Messaging library

I would like to download the chest x-ray file which matches a specified Patient ID and a Study Date from PACS.
If I specify the date in the C-FIND-Request, I can't get any matched result.
Could you suggest what's wrong with my query?
Thank you very much~

• I use pynetdicom to interact with GE's PACS.
  
• The example records in PACS are:
   Study Date Modality Patient ID Online
   -------------------------------------------------------
   2021/08/21 XA   12345678 Y
   2021/08/19 US   12345678 Y
   2021/08/11 US   12345678 Y
   2021/08/09 US   12345678 Y
   2021/08/02 US   12345678 Y
   2021/07/16 CR   12345678 Y
   The records from 2021/08/02 to 2021/08/21 are related study.
   My target is the one taken on 2021/07/16.
  
• Start with C-ECHO, then send C-FIND, low priority
  I have tried
  (1) C-FIND under patient root, patient level
  (2) C-FIND under study root, study level
  And if I specify the date(StudyDate = "20210716"), I can't get any matched result.
  
• Following are the log of pynetdicom for C-FIND under patient root, patient level.
  

(1) Case: condition only on Patient ID

I'm new to DICOM and was wondering how I would be able to return results of a C-FIND similar to how applications like Osirix display them after a query.

I'm doing this strictly in Python with pynetdicom and displaying results back in a GUI. At the moment, I've extracted each identifier separately with regex to display, but this doesn't enable me to incorporate each individual series. I'm running my queries at the 'STUDY' level.

I can query/retrieve and display the identifiers from other PACS, but I'm not sure how to go about displaying the examination results from other PACS databases at the study level and then be able to drop-down and view each series.

I'm just about complete with this test project, and can currently read in DICOM files, add to database upon receiving them, Query/retrieve from various PACS. Display and transfer images received to another archive from local folder. I just cannot figure out the above, there has to be a better way of doing this than how I have it currently configured. See image of how I am currently returning results.

I'm sure this is possible with pynetdicom, I'm just not sure how to go about doing this.

I am using a modified version of this pynetdicom script (the second example on this page) to download DICOM images to an office computer. Here is what the script does:

1. Opens a connection with PACS
2. Searches for DICOM images that match the current date for a given patient's medical record number and accession number.
3. If DICOM images are found that match the given criteria, then an SCP server connection is started to initiate the downloading of images to a folder on the local computer.

The script works when it is run using the Spyder IDE. I have created a scheduled task with Windows Task Scheduler and it works correctly if the script has first been run with the Spyder IDE and only if Spyder remains open and all variables have not been cleared.

However, if Spyder is closed or the Spyder kernel is restarted, then when the script is run through task scheduler, it will run correctly until it gets to the part where the SCP server calls the handle_store function that downloads images from PACS. The script does not call the handle_store function and the connection eventually times out.

I thought the solution would be changing the default working directory in Task Scheduler, but that did not work. Any ideas what is going on and how to fix this?

I'm working on a MPPS SCP as described here: MPPS SCP as a basic framework.

I've been able to test it a bit with DVTk, with some tools that are available here: DVTk

Most of it seems to be working correctly, but the issue I seem to be having is that the response is suppose to have tags with group 0000 returned in the "Command Set" and not in the returned DataSet itself: I actually did set them in the DataSet just to verify that I am getting the correct values, e.g.: