Requirements, desired characteristics and architectural proposal for a visualization framework 
for digital pathology

Tom Kimpe; Ali Avanaki; Kathryn Espig; Johan Rostang; Cedric Marchessoux; Bastian Piepers; Albert Xthona

doi:10.1117/12.2043020

20 March 2014 Requirements, desired characteristics and architectural proposal for a visualization framework for digital pathology

Tom Kimpe, Ali Avanaki, Kathryn Espig, Johan Rostang, Cedric Marchessoux, Bastian Piepers, Albert Xthona

Author Affiliations +

Proceedings Volume 9041, Medical Imaging 2014: Digital Pathology; 90410Y (2014) https://doi.org/10.1117/12.2043020
Event: SPIE Medical Imaging, 2014, San Diego, California, United States

Abstract

Use of color images in medical imaging has increased significantly the last few years. One of the applications in which color plays an essential role is digital pathology. Remarkably, as of today there is no agreed standard on how color information needs to be processed and visualized for medical imaging applications such as digital pathology. This lack of standardization results into large variability of how color images are visualized and it makes consistency and quality assurance a challenge. For this reason FDA and ICC recently organized a joint summit on color in medical imaging. This paper focuses on the visualization and display side of the digital pathology imaging pipeline. Requirements and desired characteristics for visualization of digital pathology images are discussed in depth. Several technological alternative solutions and considered. And finally a proposal is made for a possible architecture for a display & visualization framework for digital pathology images. The main goal for making this architectural proposal is to facilitate discussion that could lead to standardization.

Citation Download Citation

Tom Kimpe, Ali Avanaki, Kathryn Espig, Johan Rostang, Cedric Marchessoux, Bastian Piepers, and Albert Xthona "Requirements, desired characteristics and architectural proposal for a visualization framework for digital pathology", Proc. SPIE 9041, Medical Imaging 2014: Digital Pathology, 90410Y (20 March 2014); https://doi.org/10.1117/12.2043020

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