Medical images indexing and retrieval

Abstract

We present an approach for large medical images database indexing and retrieval using TTA10 algorithm. Our approach consist of primary and secondary tessellation stages, therefore it can be used in computer cluster with parallel multiprocessor architecture. We propose compact index structure, which increases systems scalability and achieves logarithmic complexity. Tree structured index in tree tessellation algorithm v.10 (TTA10) is optimized for balance monitoring and real-time subtree reorganization, avoiding of changes in the structure of the entire tree.