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We present the detailed planning and execution of the Insight Toolkit (ITK), an application programmers interface (API) for the segmentation and registration of medical image data. This public resource has been developed through the NLM Visible Human Project, and is in beta test as an open-source software offering under cost-free licensing. The toolkit(More)
Bradley C. Davis: Medical Image Analysis via Fréchet Means of Diffeomorphisms. The construction of average models of anatomy, as well as regression analysis of anatomical structures, are key issues in medical research, e.g., in the study of brain development and disease progression. When the underlying anatomical process can be modeled by parameters in a(More)
Sustainable software ecosystems are difficult to build, and require concerted effort, community norms and collaborations. In science it is especially important to establish communities in which faculty, staff, students and open-source professionals work together and treat software as a first-class product of scientific investigation-just as mathematics is(More)
We observed the same task executed by 49 users on four production web sites. We tracked the rates of discovery of new usability problems on each site and, using that data, estimated the total number of usability problems on each site and the number of tests we would need to discover every problem. Our findings differ sharply from rules-of-thumb derived from(More)
A significant unsolved problem in scientific visualization is how to efficiently visualize extremely large time-varying datasets. Using parallelism provides a promising solution. One drawback of this approach is the high overhead and specialized knowledge often required to create parallel visualization programs. In this paper, we present a parallel(More)
Large-scale computational simulations of physical phenomena produce data of unprecedented size (terabyte and petabyte range). Unfortunately, development of appropriate data management and visualization techniques has not kept pace with the growth in size and complexity of such datasets. To address these issues, we are developing a prototype, integrated(More)
The DOE leadership facilities were established in 2004 to provide scientist capability computing for high-profile science. Since it's inception, the systems went from 14 TF to 1.8 PF, an increase of 100 in 5 years, and will increase by another factor of 100 in 5 more years. This growth, along with user policies, which enable scientist to run at, scale for(More)