Character Analysis and Recognition of the Imaging in Electrical Impedance Scanning for Breast

摘要：

A new post-processing algorithm was developed for EIS image in order to improve the accuracy of diagnosis.This algorithm automatically analyzes data and recognizes the light region in the EIS image basing on the data process criterions. The threshold criterion and the modality criterion were derived from the ideal saline-tank phantom experiment.And the filter criterion came from the analysis of 240 abnormal images.Filter criterion is first used to filter some influencing data in the algorithm process.Then the threshold criterion and the modality criterion are used to recognize the light region.In addition,the algorithm was verified on a test group including 540 EIS non-processed images.The performance obtained for this test group was an 8％increase of the accuracy.The algorithm provides a clear and objective interpretation for EIS recorded images.

作者: Ji Zhenyu Dong Xiuzhen Liu Ruigang Fu Feng Shi Xuetao You Fusheng

作者单位: Medical Electronic Engineering Department,Fourth Military Medical University,Xian,China 710032

会议类型: 国际会议

会议名称: 2007 IEEE/ICME International Conference on Complex Medical Engineering-CME2007(CME2007 第二届国际复合医学工程学术大会)

会议地点: 北京

会议语种:英文

页码: 834-838

在线出版日期: 2007-05-23（万方平台首次上网日期，不代表论文的发表时间）