Geographically Distributed Complementary Content-Based Image Retrieval Systems for Biomedical Image Informatics

There is a significant increase in the use of medical images in clinical medicine, disease research, and education. While the literature lists several successful systems for content-based image retrieval and image management methods, they have been unable to make significant inroads in routine medical informatics. This can be attributed to the following: (i) the challenging nature of medical images, (ii) need for specialized methods specific to each image type and detail, (iii) lack of advances in image indexing methods, and (iv) lack of a uniform data and resource exchange framework between complementary systems. Most systems tend to focus on varying degrees of the first two items, making them very versatile in a small sampling of the variety of medical images but unable to share their strengths. This paper proposes to overcome these shortcomings by defining a data and resource exchange framework using open standards and software to develop geographically distributed toolkits. As pro...

• Type: Conference
• Year: 2007
• Where: MEDINFO
• Authors: Sameer Antani, Thomas Martin Deserno, L. Rodney Long, George R. Thoma
• Keywords: Content-based Image Retrieval, Exchange Framework, Healthcare, Medical Images, MEDINFO 2007