Abstract
The quality of ultrasound images is usually influenced by speckle noise and the temporal decorrelation of the speckle patterns. To reduce the speckle noise, compounding techniques have been widely applied. Partially correlated images scanned on the same subject cross-section are combined to generate a compound image with improved image quality. However, the compounding technique might introduce image blurring if the transducer or the target moves too fast. This blurring effect becomes especially critical when assessing tissue deformation in clinical motion examinations. In this paper, an ultrasound motion compounding system is proposed to improve the quality of ultrasound motion sequences. The proposed motion compounding technique uses a hierarchical adaptive feature weighted motion estimation method to realign the frames before compounding. Each frame is first registered and warped to the reference frame before being compounded to reduce the speckle noise. Experimental results showed that the motion could be assessed accurately and better visualization could be achieved for the compound images, with improved signal-to-noise and contrast-to-noise ratios.
| Original language | English |
|---|---|
| Pages (from-to) | 246-257 |
| Number of pages | 12 |
| Journal | Journal of Digital Imaging |
| Volume | 23 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2010 Jun 1 |
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All Science Journal Classification (ASJC) codes
- Radiological and Ultrasound Technology
- Radiology Nuclear Medicine and imaging
- Computer Science Applications
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A motion compounding technique for speckle reduction in ultrasound images. / Lin, Cheng Hsien; Sun, Yung-Nien; Lin, Chii-Jeng.
In: Journal of Digital Imaging, Vol. 23, No. 3, 01.06.2010, p. 246-257.Research output: Contribution to journal › Article
TY - JOUR
T1 - A motion compounding technique for speckle reduction in ultrasound images
AU - Lin, Cheng Hsien
AU - Sun, Yung-Nien
AU - Lin, Chii-Jeng
PY - 2010/6/1
Y1 - 2010/6/1
N2 - The quality of ultrasound images is usually influenced by speckle noise and the temporal decorrelation of the speckle patterns. To reduce the speckle noise, compounding techniques have been widely applied. Partially correlated images scanned on the same subject cross-section are combined to generate a compound image with improved image quality. However, the compounding technique might introduce image blurring if the transducer or the target moves too fast. This blurring effect becomes especially critical when assessing tissue deformation in clinical motion examinations. In this paper, an ultrasound motion compounding system is proposed to improve the quality of ultrasound motion sequences. The proposed motion compounding technique uses a hierarchical adaptive feature weighted motion estimation method to realign the frames before compounding. Each frame is first registered and warped to the reference frame before being compounded to reduce the speckle noise. Experimental results showed that the motion could be assessed accurately and better visualization could be achieved for the compound images, with improved signal-to-noise and contrast-to-noise ratios.
AB - The quality of ultrasound images is usually influenced by speckle noise and the temporal decorrelation of the speckle patterns. To reduce the speckle noise, compounding techniques have been widely applied. Partially correlated images scanned on the same subject cross-section are combined to generate a compound image with improved image quality. However, the compounding technique might introduce image blurring if the transducer or the target moves too fast. This blurring effect becomes especially critical when assessing tissue deformation in clinical motion examinations. In this paper, an ultrasound motion compounding system is proposed to improve the quality of ultrasound motion sequences. The proposed motion compounding technique uses a hierarchical adaptive feature weighted motion estimation method to realign the frames before compounding. Each frame is first registered and warped to the reference frame before being compounded to reduce the speckle noise. Experimental results showed that the motion could be assessed accurately and better visualization could be achieved for the compound images, with improved signal-to-noise and contrast-to-noise ratios.
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UR - http://www.scopus.com/inward/citedby.url?scp=77952237187&partnerID=8YFLogxK
U2 - 10.1007/s10278-008-9172-6
DO - 10.1007/s10278-008-9172-6
M3 - Article
C2 - 19130132
AN - SCOPUS:77952237187
VL - 23
SP - 246
EP - 257
JO - Journal of Digital Imaging
JF - Journal of Digital Imaging
SN - 0897-1889
IS - 3
ER -