Research On Breast Cancer Screening Medical Grid

Breast cancer screening medical grid is an important grid research both in the United States and in the Europe. With high-speed internet, it integrates the geographically distributed computing nodes, storage nodes, as well as medical instruments, stores the large-scale and heterogeneous data generated by breast cancer screening, and provides the users with transparent access interfaces to these dynamical data and computer aided medical applications.As a multi-disciplinary research, this dissertation makes research on the overall design, middleware, data management and mining, as well as mammograms'processing for large scale breast cancer screening medical grid, which is cooperated by the Shanghai's second Medical Insitute, Shanghai Ruijing Hospital, and Shanghai Tumor Hospital. The main contribution includes: (1) An overall design which meets the demands of practical medical applications is proposed, where three computer aided medical application procedures are defined. The grid services and middleware design topic is researched as well; (2) An adaptive data transfer strategy ADT is proposed, which dynamically adopts four concurrent transfer modes, according to the users'tradeoff value TVQ on the transfer speed and data quality; (3) The BI-RADS level is used as the classfication result, and a distributed, dynamical classification algorithm DSMM is proposed to reduce the number of low classification accuracy cases; (4) A V3COCA clustering algorithm is proposed for the complicated breast cancer cases' clustering, which simultaneously satisfies two application modes: computer aided diagonosis and epidemiology analysis. It also has four performance advantages that traditional algorithms can not possess at one time; (5) The processing of mammograms is partitioned into two modes for computer aided diagnosis and screening. For the two modes, a BNP formula for finding a proper number of processors and a BIP image partition strategy are designed respectively to reduce the execution time.Experiments, which are conducted with 2,937 cases from the Shanghai Ruijing Hospital and Shanghai Tumor Hospital, and 10,000 cases from the American's SEER database, validate the efficacy of the algorithms and methods proposed by this dissertation. The experimental results show that the research of this dissertation is practically useful for large scale breast cancer screening medical grid.