{"title":"超声图像合成透射孔径非均匀运动补偿的相干图像聚类","authors":"Yu-Hao Chen, Kuan-Yu Ho, Cheng-Zhou Zhan, A. Wu","doi":"10.1109/SiPS.2012.17","DOIUrl":null,"url":null,"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.","PeriodicalId":286060,"journal":{"name":"2012 IEEE Workshop on Signal Processing Systems","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Coherent Image Herding of Inhomogeneous Motion Compensation for Synthetic Transmit Aperture in Ultrasound Image\",\"authors\":\"Yu-Hao Chen, Kuan-Yu Ho, Cheng-Zhou Zhan, A. Wu\",\"doi\":\"10.1109/SiPS.2012.17\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":286060,\"journal\":{\"name\":\"2012 IEEE Workshop on Signal Processing Systems\",\"volume\":\"15 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-10-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 IEEE Workshop on Signal Processing Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SiPS.2012.17\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE Workshop on Signal Processing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SiPS.2012.17","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Coherent Image Herding of Inhomogeneous Motion Compensation for Synthetic Transmit Aperture in Ultrasound Image
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.