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DOI: 10.1148/rg.233025114
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PACSPulse: A Web-based DICOM Network Traffic Monitor and Analysis Tool1

Paul G. Nagy, PhD, Mark Daly, Max Warnock, Kevin C. Ehlers, MS and Jeff Rehm, BS

1 From the Department of Radiology, Medical College of Wisconsin, 9200 W Wisconsin Ave, Milwaukee, WI 53226. Presented as an infoRAD exhibit at the 2001 RSNA scientific assembly. Received June 25, 2002; revision requested September 23 and received February 4, 2003; accepted February 12. Address correspondence to P.G.N. (e-mail: pnagy@mcw.edu).



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  		Figure 1.  Overview of the flow of information from the DICOM server to the Linux server dedicated to performance analysis. FTP = file transfer protocol, HTTP = HyperText Transfer Protocol, ODBC = Object Database Connectivity, OS = operating system, PHP = PHP hypertext preprocessor, WWW = World Wide Web.

 


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  		Figure 2.  The usage and performance dashboard. The blue bars represent volume in numbers of studies, and the superimposed red line represents the speed at which those volumes traveled. The x axis is the hour of the day from 0 to 23. MB/S = megabytes per second.

 


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  		Figure 3.  Device usage demographics. Each device is listed in two reports, one for incoming traffic and one for outgoing traffic. The devices are represented by their application entity (AE) titles, and the fields looked at are the number of studies, the total volume in megabytes of those studies, the average number of images per study, the average image size, the average transfer rate of the studies in kilobytes per second, the average time for the first image to load, and the average total time to transfer the studies.

 


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  		Figure 4.  Time-based query on any metric. The graph represents the metric as a function of the past 10 weeks. Raw data are also supplied in tabular format beneath the graph. S = second.

 


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  		Figure 5.  Trending the usage and performance data by the modality type of the traffic.

 


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  		Figure 6.  Trending the usage and performance data by the network used.

 


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  		Figure 7.  Sample of the raw data for the last 100 transactions.

 




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