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Whole slide image data utilization informed by digital diagnosis patterns
Kimberly Ashman1, Huimin Zhuge1, Erin Shanley1
1Tulane University, Department of Biomedical Engineering, New Orleans, LA 70118, USA.
Context:
Despite the benefits of digital pathology, data storage and management of digital whole slide images introduces new logistical and infrastructure challenges to traditionally analog pathology labs.
Aims:
Our goal was to analyze pathologist slide diagnosis patterns to determine the minimum number of pixels required during the diagnosis.
Methods:
We developed a method of using pathologist viewing patterns to vary digital image resolution across virtual slides, which we call variable resolution images. An additional pathologist reviewed the variable resolution images to determine if diagnoses could still be rendered.
Results:
Across all slides, the pathologists rarely zoomed in to the full resolution level. As a result, the variable resolution images are significantly smaller than the original whole slide images. Despite the reduction in image sizes, the final pathologist reviewer could still proide diagnoses on the variable resolution slide images.
Conclusions:
Future studies will be conducted to understand variability in resolution requirements between and within pathologists. These findings have the potential to dramatically reduce the data storage requirements of high-resolution whole slide images.
