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Radiotherapy DICOM packet sniffing.

T Ackerly¹, M Gesoand, R Smith

¹William Buckland Radiotherapy Centre, The Alfred Hospital, Prahran, Australia. trevor.ackerly@wbrc.org.au

Australasian Physical & Engineering Sciences in Medicine

|October 25, 2008

Summary

Network packet sniffing helps identify Digital Imaging and Communications in Medicine (DICOM) standard non-compliance between medical devices. This technique aids in troubleshooting interoperability issues and extracting DICOM images for analysis.

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Area of Science:

Medical Imaging
Network Communications
Health Informatics

Background:

The Digital Imaging and Communications in Medicine (DICOM) standard facilitates medical image exchange between diverse vendors.
Interoperability issues in multi-vendor environments often require identifying non-compliant devices.
Network monitoring is crucial for diagnosing communication failures in DICOM systems.

Purpose of the Study:

To demonstrate the utility of packet sniffing for diagnosing DICOM non-compliance.
To illustrate the feasibility of extracting DICOM images from network traffic.
To provide a method for resolving interoperability problems in medical imaging systems.

Main Methods:

Packet sniffing was employed to capture and analyze network traffic between DICOM applications.
The technique was applied to troubleshoot specific scenarios involving radiotherapy planning systems, CT scanners, DICOM printers, and PACS.
Methods were developed to interpret intercepted DICOM communication and extract image data.

Main Results:

Packet sniffing successfully identified non-compliant DICOM applications in three distinct clinical scenarios.
It was proven feasible to extract DICOM images from intercepted network data.
The technique enabled the diagnosis of image rendering discrepancies between senders and receivers.

Conclusions:

DICOM packet sniffing is an effective method for diagnosing interoperability issues in multi-vendor medical imaging environments.
This technique can pinpoint non-compliant devices and facilitate problem resolution.
Extracting DICOM images from network data aids in understanding and correcting image display variations.