• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Ultrasonic Imaging and Signal Processing; Progress in Biomedical Optics and Imaging; vol.7 no.33 >Coded Excitation with Sigma-Delta Sampling for Medical Ultrasound Imaging
【24h】

Coded Excitation with Sigma-Delta Sampling for Medical Ultrasound Imaging

机译：Sigma-Delta采样编码激励用于医学超声成像

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

We have developed a new coded excitation technique where sigma-delta sampling and the corresponding single-bit pre-compression are utilized to reduce hardware complexity while improving signal-to-noise ratio (SNR) and penetration. From phantom studies, we have obtained a 10.03 dB SNR improvement with the proposed sigma-delta sampling-based coded excitation (SDS-CE) system compared to the conventional pulse-echo excitation method at the same voltage level. This improvement allows the necessary voltage level for the SDS-CE to be lowered to one sixth (e.g., ±10 V) of that for the conventional pulse-echo excitation method with the excitation voltage of ±60 V to achieve a comparable SNR and penetration depth. To evaluate the hardware complexity in the proposed method, the number of gates was estimated based on the 0.35-μm CMOS fabrication process. The proposed SDS-CE method can save 55.4%, 79.0% and 56.8% gates needed compared to the conventional pulse-echo method and the coded excitation method based on pre and post-compression, respectively. The proposed SDS-CE could lead to the integration of the transmitter and receiver circuitries into a single chip due to the improved SNR and reduced hardware complexity.
机译：我们已经开发了一种新的编码激励技术，其中利用sigma-delta采样和相应的单位预压缩来降低硬件复杂性，同时提高信噪比（SNR）和渗透率。通过幻象研究，与在相同电压水平下的常规脉冲回波激励方法相比，我们所建议的基于sigma-delta采样的编码激励（SDS-CE）系统已使SNR提高了10.03 dB。这种改进使SDS-CE的必要电压水平降低到传统脉冲回波激发方法的六分之一（例如，±10 V），激发电压为±60 V，以实现可比的SNR和穿透深度。为了评估所提出方法中的硬件复杂性，基于0.35μmCMOS制造工艺估算了门的数量。与传统的脉冲回波方法和基于压缩前和压缩后的编码激励方法相比，所提出的SDS-CE方法可分别节省55.4％，79.0％和56.8％的门。由于改善的SNR和降低的硬件复杂性，建议的SDS-CE可以将发送器和接收器电路集成到单个芯片中。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号