Paper
16 February 2012 Managing and querying whole slide images
Fusheng Wang, Tae W. Oh, Cristobal Vergara-Niedermayr, Tahsin Kurc, Joel Saltz
Author Affiliations +
Abstract
High-resolution pathology images provide rich information about the morphological and functional characteristics of biological systems, and are transforming the field of pathology into a new era. To facilitate the use of digital pathology imaging for biomedical research and clinical diagnosis, it is essential to manage and query both whole slide images (WSI) and analytical results generated from images, such as annotations made by humans and computed features and classifications made by computer algorithms. There are unique requirements on modeling, managing and querying whole slide images, including compatibility with standards, scalability, support of image queries at multiple granularities, and support of integrated queries between images and derived results from the images. In this paper, we present our work on developing the Pathology Image Database System (PIDB), which is a standard oriented image database to support retrieval of images, tiles, regions and analytical results, image visualization and experiment management through a unified interface and architecture. The system is deployed for managing and querying whole slide images for In Silico brain tumor studies at Emory University. PIDB is generic and open source, and can be easily used to support other biomedical research projects. It has the potential to be integrated into a Picture Archiving and Communications System (PACS) with powerful query capabilities to support pathology imaging.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fusheng Wang, Tae W. Oh, Cristobal Vergara-Niedermayr, Tahsin Kurc, and Joel Saltz "Managing and querying whole slide images", Proc. SPIE 8319, Medical Imaging 2012: Advanced PACS-based Imaging Informatics and Therapeutic Applications, 83190J (16 February 2012); https://doi.org/10.1117/12.912388
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Cited by 16 scholarly publications.
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KEYWORDS
Databases

Pathology

Data modeling

Image analysis

Image retrieval

Picture Archiving and Communication System

Image processing

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