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Author

Jeong, Won-Ki
High-performance Visual Computing Lab
Research Interests
  • Visualization, image processing, machine learning, parallel computing

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A collaborative digital pathology system for multi-touch mobile and desktop computing platforms

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Title
A collaborative digital pathology system for multi-touch mobile and desktop computing platforms
Author
Jeong, Won-KiSchneider, J.Hansen, A.Lee, M.Turney, S.G.Faulkner-Jones, B.E.Hecht, J.L.Najarian, R.Yee, E.Lichtman, J.W.Pfister, H.
Keywords
biomedical image visualization;  collaborative visualization;  digital pathology;  GPU;  image compression
Issue Date
201309
Publisher
WILEY-BLACKWELL
Citation
COMPUTER GRAPHICS FORUM, v.32, no.6, pp.227 - 242
Abstract
Collaborative slide image viewing systems are becoming increasingly important in pathology applications such as telepathology and E-learning. Despite rapid advances in computing and imaging technology, current digital pathology systems have limited performance with respect to remote viewing of whole slide images on desktop or mobile computing devices. In this paper we present a novel digital pathology client-server system that supports collaborative viewing of multi-plane whole slide images over standard networks using multi-touch-enabled clients. Our system is built upon a standard HTTP web server and a MySQL database to allow multiple clients to exchange image and metadata concurrently. We introduce a domain-specific image-stack compression method that leverages real-time hardware decoding on mobile devices. It adaptively encodes image stacks in a decorrelated colour space to achieve extremely low bitrates (0.8 bpp) with very low loss of image quality. We evaluate the image quality of our compression method and the performance of our system for diagnosis with an in-depth user study. Collaborative slide image viewing systems are becoming increasingly important in pathology applications such as telepathology and E-learning. Despite rapid advances in computing and imaging technology, current digital pathology systems have limited performance with respect to remote viewing of whole slide images on desktop or mobile computing devices. In this paper we present a novel digital pathology client-server systems that supports collaborative viewing of multi-plane whole slide images over standard networks using multi-touch enabled clients. Our system is built upon a standard HTTP web server and a MySQL database to allow multiple clients to exchange image and metadata concurrently.
URI
http://scholarworks.unist.ac.kr/handle/201301/3909
DOI
http://dx.doi.org/10.1111/cgf.12137
ISSN
0167-7055
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ECE_Journal Papers
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