An optimized framework for integrated visualization of distributed medical images

On the basis of traditional image-based diagnostic, there have been many research results shown that the comparative analysis would be more comprehensive, intuitive and targeted. In actual clinical environment, the comparison of medical imaging data on the clinician workstations is inefficient and cumbersome due to the limited support of an integrated way for presenting these data, and this leads to the emergence of the integrated visualization of these data. With the large amount of medical imaging data distributed in achieve servers, the integrated visualization on traditional clinician workstations often lead to poor user interaction. Based on the relatively mature framework of traditional clinician workstations, this paper has located the bottlenecks of data transmission and data parsing. In addition, it provides several optimization schemas against these bottlenecks, such as Streaming concept, multi-core programming and an optimization based on Intel IPP, to enhance the user interaction for the integrated visualization of imaging data. This optimized framework has been applied to many hospitals and proven to meet the clinical requirements.