We also use this prior to estimate a transformation field over the whole image. The final mosaic is obtained by mesh-based optimization which maintains high alignment accuracy and relaxes similarity transformation at the same time. Extensive experiments with both qualitative and quantitative comparisons show that our method can deal with different situations and outperforms the state-of-the-arts on challenging scenes. Homogeneity is a notion used to describe images in various fields and is often linked to critical aspects of those fields. However, this term is rarely defined in the literature and no gold standard exists for its quantification. A few quantification algorithms have been proposed, but they lack both simplicity and robustness. As a result, the scientific community uses the notion of homogeneity in subjective analysis, preventing objective comparison of a large number of data or of different studies. The main objectives of this manuscript are to propose a definition of homogeneity and an algorithm for its quantification. This algorithm, called MASQH, rely on a multi-scale, statistical and segmentation-free approach and outputs a single homogeneity index, which makes it robust and easy to use. The performance and reliability of the method are demonstrated through three case studies Firstly, on synthetic images to study the behavior and assess the relevance of the algorithm in diverse situations and hence, in various potential fields. Secondly, on histological images derived from experimental chitosan-platelet-rich-plasma hybrid biomaterial, where the quantitative results are compared to a qualitative classification provided by an expert in the field. mTOR inhibitor review Thirdly, on experimental nanocomposites images for which results are compared to two other homogeneity quantification algorithms from the field of nanocomposites. By quantifying homogeneity, the MASQH method may help to compare disparate studies in the literature and quantitatively demonstrate the impact of homogeneity in various fields. The MASQH method is freely available online.By quantifying homogeneity, the MASQH method may help to compare disparate studies in the literature and quantitatively demonstrate the impact of homogeneity in various fields. The MASQH method is freely available online.Lamb waves based structural health monitoring (SHM) has attracted extensive attention in recent years. This article aims to realize the functions of data communication, defect detection and energy transmission through piezoelectric transducers. In this work, the S0 mode at 500 kHz and A0 mode at 150 kHz are selected as the carrier waves and the optimized excitation frequencies are determined through analytical investigation and frequency sweeping experiments. S0 mode is used for data communication and defect inspection due to the high excitation frequency and low dispersion properties. A single piezoelectric sensing element acts as the transmitter and a nine-element piezoelectric transducer array is the receiver. Their roles exchanges in terms of the energy transmission based on the A0 mode. Simultaneous data communication and energy transmission are achieved based on the frequency division multiplexing (FDM) strategy. After performing a matched filter on the received signals, the digital data information can be recovered under the interference of the energy transmission signal. The synthetic aperture imaging technology (SAFT) is adopted for accurately locating defects on aluminum plates. In terms of energy transmission, a constructive interference performance is achieved by the transducer array with a transmitted power of 3.81 mW. This system has great potential for the health monitoring of the enclosed structure by eliminating the cumbersome wires for powering and communication.To solve the problem of resolution and contrast in plane wave imaging (PWI), coherent plane wave compounding (CPWC) was introduced, in which scanning was performed at different angles, which can achieve the desired image quality by combining the images obtained from PWI at different angles. However, the application of this idea reduces the frame rate in proportion to the number of plane waves (PW) or angles, so that in this modality, when dealing with some applications such as shear wave imaging (SWI) and strain imaging, there is always a compromise between the frame rate and the image quality. Tensor completion (TC) is a powerful technique to recover missing information of a low-rank tensor from limited observations based on rank minimization. In this article, we present an idea based on TC to make this compromise lighter, in other words, with a smaller number of angles, we can achieve the desired quality of the output image. To evaluate the proposed idea, plane wave imaging challenge in medical ultrasound (g a higher frame rate, an acceptable quality can be achieved.Ultrasound imaging has been developed for image-guided radiotherapy for tumor tracking, and the flexible array transducer is a promising tool for this task. It can reduce the user dependence and anatomical changes caused by the traditional ultrasound transducer. However, due to its flexible geometry, the conventional delay-and-sum (DAS) beamformer may apply incorrect time delay to the radio-frequency (RF) data and produce B-mode images with considerable defocusing and distortion. To address this problem, we propose a novel end-to-end deep learning approach that may alternate the conventional DAS beamformer when the transducer geometry is unknown. Different deep neural networks (DNNs) were designed to learn the proper time delays for each channel, and they were expected to reconstruct the undistorted high-quality B-mode images directly from RF channel data. We compared the DNN results to the standard DAS beamformed results using simulation and flexible array transducer scan data. With the proposed DNN approach, the averaged full-width-at-half-maximum (FWHM) of point scatters is 1.80 mm and 1.31 mm lower in simulation and scan results, respectively; the contrast-to-noise ratio (CNR) of the anechoic cyst in simulation and phantom scan is improved by 0.79 dB and 1.69 dB, respectively; and the aspect ratios of all the cysts are closer to 1. The evaluation results show that the proposed approach can effectively reduce the distortion and improve the lateral resolution and contrast of the reconstructed B-mode images.