A novel transcranial ultrasound imaging method with diverging wave transmission and deep learning approach
作者: Bin DuJinyan WangHaoteng ZhengChenhui XiaoSiyuan FangMinhua LuRui Mao
作者单位: 1Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, School of Biomedical Engineering, Health Science Center, Shenzhen University, 518060, China
2Guangdong Province Engineering Center of China-made High Performance Data Computing System, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China
刊名: Computer Methods and Programs in Biomedicine, 2020, Vol.186
来源数据库: Elsevier Journal
DOI: 10.1016/j.cmpb.2019.105308
关键词: Transcranial ultrasound imagingDeep learningCoherence diverging wave compoundingAdaptive beamforming
原始语种摘要: Abstract(#br)Real time brain transcranial ultrasound imaging is extremely intriguing because of its numerous applications. However, the skull causes phase distortion and amplitude attenuation of ultrasound signals due to its density: the speed of sound is significantly different in bone tissue than in soft tissue. In this study, we propose an ultrafast transcranial ultrasound imaging technique with diverging wave (DW) transmission and a deep learning approach to achieve large field-of-view with high resolution and real time brain ultrasound imaging. DW transmission provides a frame rate of several kiloHz and a large field of view that is suitable for human brain imaging via a small acoustic window. However, it suffers from poor image quality because the diverging waves are all unfocused....
全文获取路径: Elsevier  (合作)
影响因子:1.555 (2012)

  • ultrasound 超声
  • imaging 图像形成
  • diverging 离散的
  • learning 学识
  • image 
  • transmission 传送
  • tissue 组织
  • compounding 复合
  • unfocused 未聚焦的
  • distortion 畸变