Because it drives the compromise between resolution and penetration, diffraction limit has long represented an unreachable summit to conquer in ultrasound imaging. Within a few years after introduction of optical localization microscopy, we proposed its acoustic alter ego that exploits micrometric microbubble contrast agents reconstruct finest vessels body in-depth. Various groups now working on subject are optimizing precision, separation, acquisition time, tracking, velocimetry improve...

Three scattering models were examined for characterizing ex vivo canine livers and HT29 mouse tumors in the 10-38- 15-42-MHz frequency bandwidth, respectively. The spherical Gaussian model (SGM) fluid sphere (FSM) that are suitable dealing with sparse media, whereas structure factor (SFM) is adapted concentrated media. For livers, scatterer radius acoustic concentration estimated three similar matched well nuclear structures obtained from histological analysis (with relative errors less than...

There are two well-known ultrasonic approaches to extract sets of quantitative parameters: Lizzi–Feleppa (LF) slope, intercept, and midband; ultrasound (QUS)–derived effective scatterer diameter (ESD) acoustic concentration (EAC). In this study, the relation between LF QUS-derived parameters is studied theoretically experimentally on ex vivo mouse livers. As expected from theory, slope correlated ESD ([Formula: see text]), experimental data, midband EAC text]). However, intercept not text])...

Radial modulation imaging improves the detection of microbubbles at high frequency using a dual ultrasonic excitation. However, synchronization between pulses is nontrivial because need to be interrogated in compression and rarefaction phase, time-delay difference from dispersion has corrected. To address these issues, we propose use ultrafast radial (uRMI). In this technique, beat pulse (around 1 MHz) pulse-repetition was exploited separate tissue phantom vitro. This led modulated images'...

Ultrasound localization microscopy (ULM) enables the evaluation of vascular microstructure by detecting, localizing, and tracking microbubbles (MBs) in network. ULM provides a map network with improved spatial resolution but an acquisition time several minutes. Thus, it is great importance to increase number MBs detected order limit time. The standard MB detection method assumes that contrast agents are highest-intensity structures on ultrasound images. However, vivo data show intensity may...

Histological analysis is the gold standard method for cancer diagnosis. However, it prone to subjectivity and sampling bias. In response these limitations, we introduce a quantitative bimodal approach that aims provide non-invasive guidance towards suspicious regions. Light backscattering spectroscopy ultrasound techniques were combined characterize two different bone tumor types from animal models: chondrosarcomas osteosarcomas. Two cell lines used induce osteosarcoma growth. analyses...

Ultrasound Localisation Microscopy (ULM) is an imaging framework which consists of following ultrasound contrast agents, microbubbles, in time, on images. The three main steps ULM are: detecting microbubbles by reducing tissue signal, localizing them with subwavelength precision and tracking their trajectories. performances were evaluated different studies throughout metrics such as localisation accuracy or capacity to filter the tissues. In parallel, adaptive beamforming offers narrower...

The histologically identifiable cellular structure(s) involved in ultrasonic scattering is(are) yet to be uniquely identified. study quantifies six possible parameters, namely, cell and nucleus radii their respective volume fractions as well a combination of fraction. parameters are each derived from four lines (4T1, JC, LMTK, MAT) two tissue types (cell-pellet biophantom <i>ex vivo</i> tumor). Optical histology quantitative ultrasound (QUS), both independent approaches, used yield these...

The Quantitative Ultrasound backscatter coefficient provides the capability to evaluate tissue microstructure parameters. Tissue-based scatterer parameters are extracted using ultrasound scattering models. It is challenging correlate of structures from optical-measured histology, possibly because inappropriate models or presence multiple scatterers. objective this study pursue quantification pertinent with that consider nuclei and cells. concentric sphere model (CSM) structure factor adapted...

Media that contain ultrasound scatterers arranged in a regular spatial distribution can be considered as structured. Structural effects affect quantitative parameters reflect the microstructure properties. Prior studies examined structural using simulations or phantoms with fixed microarchitecture, focusing on limited set of parameters, attention given to their underlying physical significance. This study aims investigate concordance interpretations multiple experimentally by introducing...

ABSTRACT Ultrasound Localization Microscopy (ULM) has been applied in various preclinical settings and the clinic to reveal microvasculature deep organs. However, most ULM images employ standard Delay-and-Sum (DAS) beamforming. In conditions, lengthy acquisition times are required fully reconstruct small vessels due need for spatially isolated microbubbles, resulting low temporal resolution. When microbubbles densely packed, localizing a point spread function with significant main side lobes...

Two optical techniques and two ultrasound methods have been applied on an excised mouse tumor with the aim of estimating its microstructural properties. Enhanced Backscattering Spectroscopy, Light Scattering Backscatter Coefficient parametrization Envelope Statistics performed same day this biological sample. Thus, different quantitative light-based ultrasound-based parameters that reflects scattering properties estimated. Histological analyses were carried out to obtain morphological...

Changes in the tissue microstructure occur at cellular and nuclear scales when a turns malignant. With aim of assessing these alterations quantitative fashion, an ultrasound light backscattering technique have been combined to extract scatterer size distribution from three different tissue-mimicking phantoms (diameter 10 µ, 20 µm 60 µm). The light-based showed more potential characterize phantom (agreement with expected model R2 = 0.94) than ultrasound-based method, which turn better models...

Two different quantitative ultrasound (QUS) processing strategies are evaluated and compared. The first method estimates the Lizzi-Feleppa (LF) parameters from linear fit of normalized power spectrum, yields slope, intercept, midband. QUS approach relies on attenuation BSC versus frequency, mean BSC. By using spherical Gaussian model, effective scatterer diameter (ESD) acoustic concentration (EAC) estimated goal this study is to compare LF determine how they correlated verify their...

Three scattering models were examined for characterizing in vitro biophantoms and ex vivo colon adenocarcinoma (HT29) mouse tumors the 10-42 MHz 15-42 frequency bandwidth, respectively. The Spherical Gaussian Model (SGM) Fluid-Filled Sphere (FFSM) that are suitable dealing with sparse media, whereas Structure Factor (SFM) is adapted concentrated media. Biophantoms results demonstrated superiority of SFM all investigated volume fractions (i.e., from 0.006 to 0.30). In particular, SGM FFSM...

Ultrasound Localisation Microscopy (ULM) is an imaging framework which consists in tracking microbubbles (MBs) on ultrasound (US) images to estimate their trajectory and thus the map of vascular network. ULM algorithms takes as input US usually beamformed with delay-and-sum (DAS) method. In a previous study, we have shown that adaptive beamforming enhances results simulated data by detecting more MBs localizing them precisely. another introduced new MB detection method based decision theory....