基于电阻抗扫描成像的乳腺癌自动诊断及参数提取

电阻抗扫描成像作为一种无损功能成像方法, 在乳腺癌诊断方面已经成为X射线乳腺成像的辅助诊断工具. 基于电阻抗扫描成像(Electrical impedance scanning, EIS )的人工诊断方法主观性强、诊断性能差异性较大. 本文提出了一种新的乳腺癌参数提取算法—全参数提取算法(Complete parameters extraction algorithm, CPEA), 并在此基础上设计了一个乳腺癌诊断算子—异常能量指数(Abnormal energy indicator, AEI), 可将乳腺癌诊断及癌灶参数提取合二为一.临床实验表明, 新方法可用于乳腺癌的实时诊断,具有较高的灵敏度和特异度, 同时能够给出癌灶的完整参数信息.

Automatic Diagnosis and Complete Parameters Extraction Algorithm for Breast Carcinoma Based on Electrical Impedance Scanning

As a non-invasive functional imaging method,electrical impedance scanning(EIS) has become an adjunctive diagnostic tool for X-ray mammography in diagnosis of breast carcinoma.EIS diagnostic method used by clinicians often has a large variability of sensitivity and specificity among different research groups.In this paper,we present a new parameter extraction method—complete parameters extraction algorithm(CPEA) and design a diagnostic indicator—abnormal energy indicator(AEI) for breast carcinoma,which could integrate diagnosis and parameter extraction into one process.Clinical experiments indicate that the method can be applied to diagnosis of breast carcinoma with higher sensitivity and specificity in a real-time way,and presents complete parameters of breast cancerous lesions simultaneously.