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

fYear

2007

fDate

23-27 May 2007

Firstpage

828

Lastpage

832

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICCME.2007.4381857

Filename

4381857