A novel model for medical image modeling and similarity retrieval

作者：Pan, Hai Wei^*; Li, Peng Yuan; Han, Qi Long; Xie, Xiao Qin; Zhang, Zhi Qiang; Gao, Lin Lin

来源：Chinese Journal of Computers, 2013, 36(8): 1745-1756.

DOI：10.3724/SP.J.1016.2013.01745

• Diagnose disease
• Effective index
• Graph similarity
• Image modeling
• Model functions
• Similarity retrieval
• Storage technology
• Uncertain location graph

The development of medical images acquisition and storage technology has led to the rapid growth of the relevant data. These medical images can effectively help doctors to diagnose diseases more accurately. However the similarity retrieval for medical image requires accuracy much higher than the normal images. In this paper, a novel model of uncertain location graph is presented for medical image modeling and similarity retrieval. According to the characteristics of medical image, a novel method is proposed to model brain CT images to uncertain location graphs based on brain CT image textures. Then a scheme for uncertain location graph similarity retrieval is introduced. Furthermore, an effective index structure is applied to reduce the searching time. Experimental results show that this novel model functions well on brain CT images similarity retrieval with higher accuracy and efficiency.

• 出版日期2013
• 单位哈尔滨工程大学