Title :
Character Analysis and Recognition of the Imaging in Electrical Impedance Scanning for Breast
Author :
Zhenyu, Ji ; Xiuzhen, Dong ; Ruigang, Liu ; Feng, Fu ; Xuetao, Shi ; Fusheng, You
Author_Institution :
Fourth Military Med. Univ., Xi´´an
Abstract :
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.
Keywords :
biological tissues; electric impedance imaging; image recognition; medical image processing; patient diagnosis; pattern recognition; EIS image; breast; character analysis; character recognition; electrical impedance scanning; filter criterion; ideal saline-tank phantom experiment; modality criterion; patient diagnosis; threshold criterion; Algorithm design and analysis; Breast; Character recognition; Data analysis; Filters; Image analysis; Image recognition; Imaging phantoms; Impedance; Testing; CT image; Nodule detection; computer-aided detection; lung parenchyma segmentation;
Conference_Titel :
Complex Medical Engineering, 2007. CME 2007. IEEE/ICME International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-1077-4
Electronic_ISBN :
978-1-4244-1078-1
DOI :
10.1109/ICCME.2007.4381857
