Abstract
The quality of ultrasonic images is usually influenced by speckle noises and the temporal decorrelation of the speckle patterns. Most traditional motion estimation algorithms are not suitable for speckle tracking in medical ultrasonic images which usually have a low signal-to-noise ratio (SNR). This paper proposes a new motion estimation algorithm that is designed for assessing the dense velocity fields of soft tissue motion in a sequence of ultrasonic B-mode images. We design a hierarchical maximum a posteriori estimator together with an adaptive feature weighted mechanism to estimate the motion field from an ultrasonic image sequence. The proposed method was compared with several existing motion estimation methods via a series of experiments with synthetic speckle image sequences. Performance was also tested on in vivo ultrasonic images. The experimental results show that motion can be assessed with better accuracy than other methods for synthetic speckle images and a good correspondence with clinicians' observations has also been achieved for clinical ultrasonic images.
| Original language | English |
|---|---|
| Pages (from-to) | 178-190 |
| Number of pages | 13 |
| Journal | Computerized Medical Imaging and Graphics |
| Volume | 31 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2007 Apr 1 |
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All Science Journal Classification (ASJC) codes
- Radiological and Ultrasound Technology
- Radiology Nuclear Medicine and imaging
- Computer Vision and Pattern Recognition
- Health Informatics
- Computer Graphics and Computer-Aided Design
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Ultrasound motion estimation using a hierarchical feature weighting algorithm. / Lin, Cheng Hsien; Lin, Mark Chii Jeng; Sun, Yung Nien.
In: Computerized Medical Imaging and Graphics, Vol. 31, No. 3, 01.04.2007, p. 178-190.Research output: Contribution to journal › Article
TY - JOUR
T1 - Ultrasound motion estimation using a hierarchical feature weighting algorithm
AU - Lin, Cheng Hsien
AU - Lin, Mark Chii Jeng
AU - Sun, Yung Nien
PY - 2007/4/1
Y1 - 2007/4/1
N2 - The quality of ultrasonic images is usually influenced by speckle noises and the temporal decorrelation of the speckle patterns. Most traditional motion estimation algorithms are not suitable for speckle tracking in medical ultrasonic images which usually have a low signal-to-noise ratio (SNR). This paper proposes a new motion estimation algorithm that is designed for assessing the dense velocity fields of soft tissue motion in a sequence of ultrasonic B-mode images. We design a hierarchical maximum a posteriori estimator together with an adaptive feature weighted mechanism to estimate the motion field from an ultrasonic image sequence. The proposed method was compared with several existing motion estimation methods via a series of experiments with synthetic speckle image sequences. Performance was also tested on in vivo ultrasonic images. The experimental results show that motion can be assessed with better accuracy than other methods for synthetic speckle images and a good correspondence with clinicians' observations has also been achieved for clinical ultrasonic images.
AB - The quality of ultrasonic images is usually influenced by speckle noises and the temporal decorrelation of the speckle patterns. Most traditional motion estimation algorithms are not suitable for speckle tracking in medical ultrasonic images which usually have a low signal-to-noise ratio (SNR). This paper proposes a new motion estimation algorithm that is designed for assessing the dense velocity fields of soft tissue motion in a sequence of ultrasonic B-mode images. We design a hierarchical maximum a posteriori estimator together with an adaptive feature weighted mechanism to estimate the motion field from an ultrasonic image sequence. The proposed method was compared with several existing motion estimation methods via a series of experiments with synthetic speckle image sequences. Performance was also tested on in vivo ultrasonic images. The experimental results show that motion can be assessed with better accuracy than other methods for synthetic speckle images and a good correspondence with clinicians' observations has also been achieved for clinical ultrasonic images.
UR - http://www.scopus.com/inward/record.url?scp=33947579930&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33947579930&partnerID=8YFLogxK
U2 - 10.1016/j.compmedimag.2007.01.002
DO - 10.1016/j.compmedimag.2007.01.002
M3 - Article
C2 - 17317099
AN - SCOPUS:33947579930
VL - 31
SP - 178
EP - 190
JO - Computerized Medical Imaging and Graphics
JF - Computerized Medical Imaging and Graphics
SN - 0895-6111
IS - 3
ER -