Ultrasound Image Enhancement Using Structure-Based Filtering

Joint Authors

Chen, Guan-Zhi
Yen, Cho-Li
Ueng, Shyh-Kuang

Source

Computational and Mathematical Methods in Medicine

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-14, 14 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-06-19

Country of Publication

Egypt

No. of Pages

14

Main Subjects

Medicine

Abstract EN

Ultrasound images are prone to speckle noises.

Speckles blur features which are essential for diagnosis and assessment.

Thus despeckling is a necessity in ultrasound image processing.

Linear filters can suppress speckles, but they smooth out features.

Median filter based despeckling algorithms produce better results.

However, they may produce artifact patterns in the resulted images and oversmooth nonuniform regions.

This paper presents an innovative despeckle procedure for ultrasound images.

In the proposed method, the diffusion tensor of intensity is computed at each pixel at first.

Then the eigensystem of the diffusion tensor is calculated and employed to detect and classify the underlying structure.

Based on the classification result, a feasible filter is selected to suppress speckles and enhance features.

Test results show that the proposed despeckle method reduces speckles in uniform areas and enhances tissue boundaries and spots.

American Psychological Association (APA)

Ueng, Shyh-Kuang& Yen, Cho-Li& Chen, Guan-Zhi. 2014. Ultrasound Image Enhancement Using Structure-Based Filtering. Computational and Mathematical Methods in Medicine،Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-496431

Modern Language Association (MLA)

Ueng, Shyh-Kuang…[et al.]. Ultrasound Image Enhancement Using Structure-Based Filtering. Computational and Mathematical Methods in Medicine No. 2014 (2014), pp.1-14.
https://search.emarefa.net/detail/BIM-496431

American Medical Association (AMA)

Ueng, Shyh-Kuang& Yen, Cho-Li& Chen, Guan-Zhi. Ultrasound Image Enhancement Using Structure-Based Filtering. Computational and Mathematical Methods in Medicine. 2014. Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-496431

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-496431