5 papers · 1 filter
Deep Learning-based Quantitative Ultrasound (DeepQUS) for Multiparametric Hepatic Steatosis Assessment
Allison Lee, Ahmed El Kaffas, Aya Kamaya +2
Quantitative ultrasound (QUS) has shown promise for liver fat quantification in metabolic dysfunction-associated fatty liver disease (MAFLD). Incorporating multiple parameters has…
Smart Spectral Doppler Ultrasound Imaging using Motion Tracking based on Wide-beam transmission and Neural Networks: Preliminary Results
Jihye Baek, Allison Lee, Jinbum Kang +1
Ultrasound spectral Doppler imaging provides quantitative blood flow information for vascular diagnosis, but its accuracy is limited by the one-dimensional (1D) sample volume (SV).…
A 2D autocorrelation-based frequency estimator reflecting spatial tissue distribution to improve Ultrasound H-scan tissue characterization
Jihye Baek, Thurston Brevett, Dongwoon Hyun +4
H-scan is a promising quantitative ultrasound technique that estimates the frequency content of backscattered signals and maps the estimated frequencies onto a red/blue color scale…
MBFormer: Microbubble Transformer for 3D Time-Series Data Processing to Improve Bound Bubble Detection in Nonde-structive Ultrasound Molecular Imaging
Jihye Baek, Jeong Hoon Lee, Hoda Hashemi +4
Development of nondestructive ultrasound molecular imaging (UMI) is essential for early cancer detection through real-time screening using clinical ultrasound systems. Current tech…
Enhancing Ultrasound Molecular Imaging: Toward Real-Time RPCA-Based Filtering to Differentiate Bound and Free Microbubbles
Hoda S. Hashemi, Dongwoon Hyun, Nathan Nguyen +6
Ultrasound molecular imaging (UMI) is an advanced imaging modality that shows promise in detecting cancer at early stages. It uses microbubbles as contrast agents, which are functi…