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Sonovue is a kind of ultrasound contrast agent (UCA) with a stable shell made by lipid, within which is SF6. Due to the specific acoustic characteristics, UCA has been widely used in ultrasound diagnosis and therapy. In some cases, the 2nd harmonic wave of the scattered signal should be strong enough to help form a high quality image. To better utilize the bubbles to get enough intensity of the 2nd...
Speckle noise is a phenomenon inherent in any coherent imaging system and decreases the signal-to-noise ratio (SNR), which brings down the imaging quality. Speckle noise reduction is particularly important in the tissue harmonic imaging (THI) since it has the lower energy and the poorer SNR than the fundamental imaging (FI). Speckle can be reduced by frequency compounding (FC), which means incoherently...
Tumor localization in automated whole breast ultrasound (ABUS) images is an important and challenging task in a computer-aided detection (CAD) system. In this study, a completely automatic tumor detection method using the local phase information was proposed to accurately locate the tumor in ABUS images, thus accelerate the segmenting process. The phase in the max-energy orientation (PMO) image of...
In this paper, we propose a novel method for the automatic detection of fetal head in 2D ultrasound images. Fetal head detection has been a challenging task, as the ultrasound images usually have poor quality, the structures contained in the images are complex, and the gray scale distribution is highly variable. Our approach is based on a deep belief network and a modified circle detection method...
Plane wave compounding is a useful mode for ultrasound imaging because it can make a good compromise between imaging quality and frame rate. It is also useful for broad view ultrasound imaging. Traditional coherent plane wave compounding coherently sums the echo data of different steered transmitting waves as the output. The data correlation information of different emissions is not considered. Therefore,...
Nowadays, 3D ultrasound imaging has been increasingly used in clinics for fetal examination. However, it is cumbersome and time-consuming, even for an experienced clinician, to manually locate the fetal head and the mid-sagittal plane. In this paper, we introduce a totally automatic method for fetal head detection, which is based on a shape model and the marginal space learning framework. We approximate...
Ultrasound plane-wave imaging can achieve the high frame rate but suffers from the image degradation since the beamforming process is restricted only in the receiving mode. Coherent compounding of multi-angle plane waves has been proposed to improve the image quality. It uses multiple plane waves steered at different angles to scan the tissue and then averages the images of different illuminations...
A textural feature extraction algorithm was proposed to automatically find candidate objects in the selected volume of interest (VOI) and compute textural features on multiplanar images for classification of the mesh and fascia. Firstly, candidate objects were found out in axial plane (A-plane) and coronal plane (C-plane) images with the preprocessing stage. Secondly, textural features of candidate...
Textural features were extracted from livers' B-mode ultrasonic images to diagnose hepatic fibrosis for chronic hepatitis-B patients (CHB). For a selected region of interest (ROI) of an ultrasonic image, 13 textural parameters based on its gray level co-occurrence matrix (GLCM) were calculated. A Fisher linear classifier was built using 83 images as its training set. The results of the test on 38...
It is valuable for diagnosis of atherosclerosis to detect lumen and media-adventitia contours in intravascular ultrasound (IVUS) images of atherosclerotic plaques. In this paper, a method for contour detection of plaques is proposed utilizing the prior knowledge of elliptic geometry of plaques. Contours are initialized as ellipses by using ellipse template matching, where a matching function is maximized...
Ultrasound harmonic imaging was simulated by numerically solving nonlinear acoustic equations for a given medium field and mimicking the B-mode scan procedures used in medical ultrasound imaging systems. The linear acoustic equations were extended to include relaxation dissipation and nonlinearity in compressibility. Pressure waves were induced by multiple transducer elements at the medium boundary...
Endovascular stent has an increasingly important application in the treatment of aneurysms. This study is to simulate Doppler ultrasound blood flow signals from a stented sidewall aneurysm based on a computational fluid dynamics model. For comparisons, a stented and non-stented sidewall aneurysm models are constructed respectively. Firstly the blood flow velocity distribution in the area of the sidewall...
Simulation of the ultrasound field in photoacoustic tomography (PAT) plays an important role in the study of PAT. The validity of theories can be verified through the simulation without the cost of many experiments, and it is convenient to adjust parameters when the experiment conditions change. In this paper, an improved method is proposed to exactly simulate the ultrasound field. The time-of-flight...
The nuchal translucency (NT) thickness is an important parameter in the diagnosis of fetuses. The previous computerized methods often require manual operations to select the NT region, which leads to the time-consuming problem and the detection variability. In the paper, a hierarchical structural model is proposed for the automated detection of the NT region. Three discriminative classifiers are first...
To improve the accuracy and sensitivity of the breast tumor classification based on ultrasound images, a computer-aided classification algorithm is proposed using the Affinity Propagation (AP) clustering. Five morphologic features and three texture features are extracted from each breast ultrasound image. The AP clustering with an empirical value of "preference" is used as the primary classification...
In view of the inherent speckle noise in medical ultrasound images, a novel method is proposed based on the blind deconvolution and the Maximum-Likelihood (ML) filtering. Firstly, the point spread function (PSF) is blindly estimated based on the complex-cepstrum filtering; then the PSF is input into a Wiener Filter in order to recover the tissue reflectivity. Secondly, the reflectivity is reasonably...
Low signal noise ratio (SNR) of the ultrasound images makes the segmentation of fetal lung a difficult task. In this paper, a novel method using the texture-based boundary enhancement and active contour models is developed to semi-automatically segment the fetal lung from fetal chest ultrasound images. The texture-based boundary enhancement procedure is firstly proposed to enhance boundary regions...
The structure detection of the first-trimester fetal heart is important for the diagnosis of fetuses, which is difficult due to the small size of the first-trimester fetal heart and the low signal-to-noise ratio of the ultrasound imaging. In the paper, a novel method is proposed for the automated detection of the fetal cardiac structure from first-trimester ultrasound images. First the region of interest...
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