2022年7月1日
Improving axial resolution of medical ultrasound images by using noise-robust broadband filter based on singular value decomposition
Japanese Journal of Applied Physics
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- 巻
- 61
- 号
- SG
- 記述言語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.35848/1347-4065/ac5a2c
Improving spatial resolution is a crucial issue in medical ultrasound. One of the improving methods is the post-processing of the received ultrasound RF signal. In the present paper, we proposed a design method for a noise-robust broadband filter based on the singular value decomposition of the received RF signal. To design a noise-robust filter, we proposed a logical method to determine the optimal truncated order of singular values, which was validated by applying the filter to noise-contaminated signals. Furthermore, the proposed filter applied to the wire phantom resulted in a better axial resolution than that obtained without the filter and with our previously designed Wiener filter.
- リンク情報
- ID情報
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- DOI : 10.35848/1347-4065/ac5a2c
- ISSN : 0021-4922
- eISSN : 1347-4065
- SCOPUS ID : 85131678779