A5057284786- Ultrasound Imaging and Elastography
- Gene expression and cancer classification
- Electrical and Bioimpedance Tomography
- Ultrasound and Hyperthermia Applications
- Photoacoustic and Ultrasonic Imaging
- AI in cancer detection
- Digital Imaging for Blood Diseases
- Advanced MRI Techniques and Applications
- Anomaly Detection Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Spectroscopy Techniques in Biomedical and Chemical Research
- Ultrasonics and Acoustic Wave Propagation
- Cardiovascular Health and Disease Prevention
Yunnan University
2021-2024
Objectives The aim of this study is to determine the optimum and fine values number transmission angles tilted plane waves for coherent plane‐wave compounding (CPWC)‐based high local pulse wave velocity (LPWV) estimation. Methods A Verasonics system incorporating a linear array probe L14‐5/38 with 128 elements pulsatile pump, CompuFlow1000, were used acquire radio frequency data 3, 5, 7, 9 sequences angle intervals from 0° 12° coarse interval increment step 1°, 2° 0.25° carotid vessel...
In ultrasound contrast imaging, the second harmonic (SH) of agents has a higher resolution than subharmonic and energy ultraharmonic, which is helpful for visualization blood flow. However, contrast-agent SH directly separated from radio frequency signals may contain components generated by tissues. this study, total least-squares (TLS) adaptive filtering proposed to improve imaging (SHI) agents. First, pulse inversion based before after injecting are reference signal input TLS model,...
In the classification of benign and malignant breast tumors, in addition to extraction features, selection classifier is also an important factor affecting accuracy classification. At present, ensemble has limitations local optimization weak scalability integration process, which affect stability this study, based on adaptive weighted proposed classify tumors. First, original ultrasonic RF signal preprocessed by down-sampling, dilation, decomposition. Then, intrinsic modal function obtained...
A red blood cell (RBC) aggregation classification method based on statistical features combination of ultrasonic radiofrequency (RF) echo signals and subspace K-nearest neighbor (KNN) classifier is proposed here. The RF are decomposed using empirical wavelet transform (EWT). Since different densities spatial organization in the scattering distribution can generate ultrasound data with properties, three signals, mode, range, trimmed mean, extracted to form a feature vector, then machine...
Super-harmonics (SH) only come from contrast agents (CA), and the clutter-free SH imaging (SHI) has higher quality in ultrasound CA imaging. How to better separate echo signals is a key issue improve SHI of CA. The existing three algorithms all have some limitations, arrival artifact pulse inversion (PI) method, inflexible parameters high pass filter (HPF) method noise residue complete ensemble empirical mode decomposition with adaptive (CEEMDAN) method. In this study, improved (ICEEMDAN)...
Owing to better-defined edges and enhanced contrast in multi-order harmonic imaging, the ultrasonic technique provides improved diagnosis performance for small lesions clinics. The separation based on filtering is a most frequently used method extracting harmonics from radio frequency (RF) echo signals. However, cutoff frequency, order, type of filter have great influence precision extraction. In present study, an adaptive empirical wavelet transform (EWT) algorithm proposed adaptively...