Diagnosis system of computer-aided brain MRI using content-based image retrieval

Retrieving images is a useful tool to help radiologist to check medical image and diagnosis. In this paper, we propose a retrieval system of computer aided brain magnetic resonance imaging diagnosis, which integrated archiving and communication system, feature extraction and storage, feature match, and user interfaces. The system can be access in three ways, (i) using our system including PACS and image retrieval system, (ii)embedded the software into current PACS, and (iii) internet connection to submit an image as a query, and receive in return a set of images from the the web system. The system utilizes sophisticated image processing algorithms, combined with robust database technology and state-of-the-art web-enabled hardware, and packages these capabilities into a tightly-integrated diagnosis environment for the radiologist. This paper outlines the architecture, algorithms, and the test/verification procedures that our system has implemented. ? 2008 IEEE.EI