DocumentCode
1590209
Title
A compositive filtering method study of ultrasonic medical image based on morphology and self-adaption
Author
Anqing, Yang
Author_Institution
Coll. Of Electr. & Autom. Eng., Hefei Univ. of Technol., Hefei, China
Volume
3
fYear
2011
Firstpage
316
Lastpage
319
Abstract
With influence of imaging machine-mad, instrument and human breath, two-dimensional(2D) ultrasonic medical image is worse. A proper speckle signal is formed at imaging process, make it difficulties to distinguish between normal tissue and pathological tissue of human body, cause clinical diagnosis and medical study inconvenience, In this paper, an new filter method of the medical ultrasonic imaging is proposed from the principles combine with practicality, and an experiment is made to validate. The experimental method is: first adopting self-adaptive median filter processing medical ultrasonic image, then we apply mathematics morphological way to filter again and increase contrast, finally we compare the new method with other speckle suppression methods by denoised image and evaluation index. The experimental result indicated that this method can effectively improve imaging quality.
Keywords
adaptive filters; adaptive signal processing; biological tissues; biomedical ultrasonics; image denoising; medical image processing; pneumodynamics; speckle; clinical diagnosis; compositive filtering method; evaluation index; human breath; image contrast; image denoising; normal tissue; pathological tissue; self-adaptive median filter processing; speckle signal; speckle suppression method; ultrasonic medical imaging; Adaptive filters; Filtering theory; Medical diagnostic imaging; Noise; Ultrasonic imaging; adaptive median filter; compositive filtering method; medical ultrasonic imaging processing; morphology filter;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronic Measurement & Instruments (ICEMI), 2011 10th International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-8158-3
Type
conf
DOI
10.1109/ICEMI.2011.6037914
Filename
6037914
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