Quantitative Multifrequency Ultrasound Imaging Using Narrowband Pulsing for Tissue Characterization
Abstract
Objective: Multifrequency ultrasound (MFUS) is a novel quantitative imaging technique that captures backscattered data after transmission of a sequence of frequency-shifted narrowband ultrasound (US) pulses. The goal of this study was to implement a MFUS acquisition sequence and then validate quantitative measurements using an animal model of metabolic dysfunction-associated steatotic liver disease (MASLD). Materials and Methods: US imaging was performed using a programmable research scanner (Vantage NXT 256, Verasonics Inc) equipped with a L11-5v linear array. Radiofrequency (RF) data were acquired from 24 different frequency-shifted narrowband transmit pulses using plane wave imaging with spatial angular compounding. The MFUS gradient was defined as the linear slope between logarithmic B-scan intensity and transmit frequency. The US attenuation coefficient and relative scatterer size (RSS) were derived from the MFUS gradient parameter. A bilayer tissue-mimicking phantom with regions of known US attenuation values of −0.70 and −0.95 dB/cm/MHz, respectively, was used for in vitro MFUS imaging and attenuation coefficient estimation. Custom homogeneous phantoms containing 38 to 89 μm-sized US scatterers were also used to compare RSS estimates. A heterogeneous phantom containing a circular target and background material embedded with 64 and 38 μm-sized scatterers, respectively, was used to measure the contrast-to-noise ratio (CNR) between the two regions for B-scan and…
Read the paper
Related studies
- Characterization and Analysis of Porosity and Pore Structures
- Practical considerations for conducting ecotoxicity test methods with manufactured nanomaterials: what have we learnt so far?
- Dental Optical Coherence Tomography
- Radiation-shielding concrete: A review of materials, performance, and the impact of radiation on concrete properties
- Testing entanglement of annihilation photons
- Calanus finmarchicus seasonal cycle and diapause in relation to gene expression, physiology, and endogenous clocks
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.