1. In vivo Nakagami‐ m parametric imaging of microbubble‐enhanced ultrasound regulated by RF and VF processing techniques
- Author
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Yu Zhang, Mingxi Wan, Chris J. Diederich, Yuchao Sang, Diya Wang, and Dong Liu
- Subjects
Physics ,Microbubbles ,Correlation coefficient ,Logarithm ,business.industry ,Estimation theory ,Ultrasound ,Estimator ,Nakagami distribution ,General Medicine ,Data Compression ,030218 nuclear medicine & medical imaging ,Perfusion ,03 medical and health sciences ,0302 clinical medicine ,030220 oncology & carcinogenesis ,Animals ,Rabbits ,Sensitivity (control systems) ,Artifacts ,business ,Ultrasonography ,Biomedical engineering - Abstract
PURPOSE Application of the Nakagami statistical model and associated m parameter has the potential to suppress artifacts from adjustable system parameters and operator selections typical in echo amplitude-coded microbubble-enhanced ultrasound (MEUS). However, the feasibility of applying m estimation and determination of the associated Nakagami distribution features for in vivo MEUS remain to be investigated. Sensitivity and discriminability of m-coded MEUS are often limited since raw envelopes are regulated by complex radiofrequency (RF) and video-frequency (VF) processing. This study aims to develop an improved imaging approach for the m parameter estimation which can overcome the above limitations in in vivo condition. METHOD The regulation effects of RF processing of pulse-inversion (PI) harmonic detection techniques and VF processing of logarithmic compression in Nakagami distributions were investigated in MEUS. A window-modulated compounding moment estimator was developed to estimate the MEUS m values. The sensitivity and discriminability of m-coded MEUS were quantified with contrast-to-tissue ratio (CTR), contrast-to-noise ratio (CNR), and axial and lateral resolutions, which were validated through in vivo perfusion experiments on rabbit kidneys. RESULTS Regulated by RF and VF processing, the distributions of MEUS obeyed the Nakagami statistical model. The Nakagami-fitted correlation coefficient was 0.996 ± 0.003 (P
- Published
- 2020
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