Content based medical image coding with fuzzy level set segmentation algorithm

Abstract

Advances in digital medical imaging technologies have resulted in substantial increase in the size of datasets, as a result of improvement in spatial and temporal resolution. In order to reduce the storage cost, diagnostic analysis cost and transmission time without significant reduction of the image quality, a state of the art image compression technique is required. Content based coding is therefore capable of delivering high reconstruction quality over user-specified spatial regions in a limited time, compared to compression of the entire image. Further, CBC coding provides an excellent trade-off between image quality and compression ratio. In this paper a content based compression technique is proposed. The proposed procedure when applied on Computed Tomography (CT) liver image yields significantly better compression rates without loss in the originality of ROI. © 2013 Springer.