咨询与建议

看过本文的还看了

相关文献

该作者的其他文献

文献详情 >A novel design framework of sy... 收藏
TechRxiv

A novel design framework of synthetic radial aperture focusing for volumetric transrectal ultrasound imaging

作     者:Song, Hyunwoo Kang, Jeeun Boctor, Emad M. 

作者机构:Department of Computer Science Whiting School of Engineering The Johns Hopkins University BaltimoreMD21218 United States Laboratory for Computational Sensing and Robotics Whiting School of Engineering The Johns Hopkins University BaltimoreMD21218 United States 

出 版 物:《TechRxiv》 (TechRxiv)

年 卷 期:2021年

核心收录:

主  题:Beamforming 

摘      要:In this paper, we present a novel design framework of synthetic radial aperture focusing for 3-dimensional (3-D) transrectal ultrasound imaging (TRUS-rSAF), in which multiple transmittance/reception events at different scanning angles are synthesized to reconstruct a radial plane in the target volume, securing high spatial resolution and texture uniformity. A theory-based design approach has not been available to push the envelope of the 3-D rSAF technique. Herein, a closed-form analytical description of the TRUS-rSAF method is presented for the first time, effectively delineating spatial resolution and grating lobe positions in the radial dimension of a TRUS transducer. We demonstrate a solid optimization workflow based on the theoretical foundation to improve its spatiotemporal resolution, grating lobe artifacts, and signal-to-noise ratio (SNR). A specific design criterion was considered to outperform a clinical 3-D TRUS imaging (TRUS-REF), where each radial plane is reconstructed with a single transmittance/reception event using a motorized actuator. The optimized TRUS-rSAF method significantly enhanced spatial resolution up to 50 % over the TRUS-REF method while providing clinically-effective temporal resolution (2-8 volumes per second) with negligible grating lobe artifacts. The results indicate that the proposed design approach would enable a novel TRUS imaging solution in clinics. © , CC BY-NC-SA.

读者评论 与其他读者分享你的观点

用户名:未登录
我的评分