Dear Advanced Visualization Insider,
With 3D MRI and CT data displayed on 2D image displays, radiologists have adopted stack mode viewing as their preferred method for interacting with these 3D volumes. This approach does have its drawbacks, however, as radiologists have to scroll through the large number of 2D image slices in their review process, according to Stella Atkins, Ph.D., of Simon Fraser University in Burnaby, British Columbia.
A Simon Fraser research team sought to evaluate the human-computer interactions of radiologists scrolling through a stack of 2D slices, comparing three different techniques: two mouse scrolling methods and a jog wheel.
A large amount of variability was found between the methods, leading the researchers to conclude that several techniques should be available to radiologists. They could then choose the method that works best for them.
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In other stories we're featuring this month in your Advanced Visualization Digital Community, a Stanford University computer-aided detection (CAD) system fared well when applied to the research database being built by the Lung Imaging Database Consortium (LIDC), a project sponsored by the National Cancer Institute and leading academic centers.
Not only did CAD find more lung nodules in more patients than the original expert reader panel, it also was more efficient at finding nodules than human readers and more diligent when faced with multiple findings in the same patient. For that article, click here.
In addition, JPEG 2000 compression was recently found to produce more artifacts in thin-section lung CT images than in thick-section images. Also, CAD technology is showing potential for diagnosing pediatric pneumonia -- learn more by clicking here.
Last but not least, do you have any interesting images or clips that might be suitable for our Advanced Visualization community gallery? I invite you to submit them by clicking here.
