Service Description
Develop computational algorithms to simulate human visual
performance in reading X-rays and medical images. The evaluation results can then
be used to optimize your systems design.
Medical image quality varies with the image capture systems,
dosages, image processing algorithms, and will affect the diagnostic performance
of image reading experts. Usually, human observers have to look at the concerned
images and to evaluate the image quality. In mammography, for example, ACR phantom
images and CDMAM phantom
images are read by image reading experts to obtain the quality scores of the mammography
images. Such a method, however, is costly and time consuming, and the variability
of the results can be quite large due to human involvement and testing methods employed.
Here we can help you to develop computational algorithms
to simulate the detection performance of an average human observer, so that the
phantom images (and other medical images) can be evaluated computationally without
using real human observers.
Key Benefits
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Reduced human involvements in the tedious evaluation process.
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Automated computational tool to reduce costs and time.
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Streamlined processes to optimize the design of medical
imaging systems.
Capabilities
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Develop computational algorithms to simulate human
visual performance on specific evaluation tasks.
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Prototype evaluation tools.
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Conduct confirmation studies and tool refinements.
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