Name
Title | ||
|---|---|---|
Coherent Image Herding of Inhomogeneous Motion Compensation for Synthetic Transmit Aperture in Ultrasound Image |
Abstract | ||
|---|---|---|
Synthetic transmit aperture (STA) has been extensively used in ultrasound system recently because of its high frame rate and high image quality. However, STA is susceptible to motion artifacts. Some studies have proposed strategies to overcome this problem, but the image quality still degrades in inhomogeneous motion environment, which means that tissue moves in different directions and speed. In this work, we propose the coherent image herding (CIH) method to form high resolution image (HRI) with better image quality by determining whether the compensated low resolution image (LRI) needs to be chosen to form better HRI and subsequently performing a cross-correlation analysis on the raw channel data between the selected LRIs. In simulation results, the proposed method can obtain better HRI in the inhomogeneous motion environment, and it improves the contrast ratio (CR) and contrast noise ratio (CNR) about 9.5 dB and 1.5 dB respectively with only 0.71% computational complexity larger than the referenced work in the cyst phantom simulation using Field II program. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/SiPS.2012.17 | SiPS |
Keywords | Field | DocType |
inhomogeneous motion environment,inhomogeneous motion compensation,motion compensation,image quality,high resolution image,image resolution,coherent image herding,biomedical ultrasonics,ultrasound system,beamforming,better image quality,computational complexity,synthetic transmit aperture,high frame rate,low resolution image compensation,synthetic aperture,cyst phantom simulation,cross-correlation analysis,better hri,coherent image,contrast noise ratio,ultrasound,ultrasound image,low resolution image,high image quality,field ii program,motion artifact,contrast ratio,correlation methods,medical image processing | Aperture,Computer vision,Synthetic aperture radar,Computer science,Motion compensation,Imaging phantom,Image quality,Artificial intelligence,Frame rate,Contrast ratio,Image resolution | Conference |
ISSN | ISBN | Citations |
2162-3562 | 978-1-4673-2986-6 | 1 |
PageRank | References | Authors |
0.40 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yu-Hao Chen | 1 | 16 | 3.32 |
| Kuan-Yu Ho | 2 | 3 | 1.18 |
| Cheng-Zhou Zhan | 3 | 123 | 9.71 |
| An-Yeu (Andy) Wu | 4 | 97 | 7.92 |