Clemensengreene1257

2 mm) without compromising bias, precision, contrast, contrast-to-noise ratio, and accuracy, which has been noted with previous systems. Human experiments involved four patients with hand tendon injuries who underwent ≥2 months of rehabilitation. Alvelestat Using HFUSE, two-dimensional SWV images of flexor tendons could be clearly mapped for healthy and injured tendons, respectively. The findings demonstrate that HFUSE can be a promising tool for evaluating the elastic properties of the injured hand tendon after surgery and during rehabilitation and thus help monitor progress.Implementation of piezoelectric multilayer ceramic (MLC) is an effective way to reduce impedance and improve performance of linear array transducer for ultrasonic system applications. However, the ultrasonic image derived from a planar linear array transducer generally suffers from degradation of lateral resolution and contrast. Here we designed and fabricated a focused 5-MHz 128-element linear array ultrasonic transducer with concave structure using 5-layered PNN-PZN-PMN-PZ-PT piezoelectric ceramic. The transducer showed a bandwidth of 63 % at -6 dB, and the lateral resolution up to 0.33 mm. An improved transmission signal of 90% higher than commercial single-layer ceramic transducer was also achieved. We further demonstrated a high-resolution photoacoustic imaging with the obtained concave linear array transducer.Deep learning has attracted rapidly increasing attention in the field of tomographic image reconstruction, especially for CT, MRI, PET/SPECT, ultrasound and optical imaging. Among various topics, sparse-view CT remains a challenge which targets a decent image reconstruction from ultra-sparse projections. To address this challenge, in this article we propose a Dual-domain Residual-based Optimization NEtwork (DRONE). DRONE consists of three modules respectively for embedding, refinement, and awareness. In the embedding module, a sparse sinogram is first extended. Then, sparse-view artifacts are effectively suppressed by the image domain networks. After that, the refinement module focuses on the recovery of image details in the residual data and image domains synergistically. Finally, the results from embedding and refinement components in the data and image domains are regularized for optimized image quality in the awareness module, which ensures the consistency between measurements and images with the kernel awareness of compressed sensing. The DRONE network is trained, validated, and tested on preclinical and clinical datasets, demonstrating its merits in edge preservation, feature recovery, and reconstruction accuracy.Identifying and locating diseases in chest X-rays are very challenging, due to the low visual contrast between normal and abnormal regions, and distortions caused by other overlapping tissues. An interesting phenomenon is that there exist many similar structures in the left and right parts of the chest, such as ribs, lung fields and bronchial tubes. This kind of similarities can be used to identify diseases in chest X-rays, according to the experience of broad-certificated radiologists. Aimed at improving the performance of existing detection methods, we propose a deep end-to-end module to exploit the contralateral context information for enhancing feature representations of disease proposals. First of all, under the guidance of the spine line, the spatial transformer network is employed to extract local contralateral patches, which can provide valuable context information for disease proposals. Then, we build up a specific module, based on both additive and subtractive operations, to fuse the features of the disease proposal and the contralateral patch. Our method can be integrated into both fully and weakly supervised disease detection frameworks. It achieves 33.17 AP50 on a carefully annotated private chest X-ray dataset which contains 31,000 images. Experiments on the NIH chest X-ray dataset indicate that our method achieves state-of-the-art performance in weakly-supervised disease localization.In this paper we present methods for estimating shape from polarisation and shading information, i.e. photo-polarimetric shape estimation, under varying, but unknown, illumination, i.e. in an uncalibrated scenario. We propose several alternative photo-polarimetric constraints that depend upon the partial derivatives of the surface and show how to express them in a unified system of partial differential equations of which previous work is a special case. By careful combination and manipulation of the constraints, we show how to eliminate non-linearities such that a discrete version of the problem can be solved using linear least squares. We derive a minimal, combinatorial approach for two source illumination estimation which we use with RANSAC for robust light direction and intensity estimation. We also introduce a new method for estimating a polarisation image from multichannel data and provide methods for estimating albedo and refractive index. We evaluate lighting, shape, albedo and refractive index estimation methods on both synthetic and real-world data showing improvements over existing state-of-the-art.Vulnerable communities are in tremendous need of specialized dermatologic care. Through exposure to unique patient populations during medical school curricula and residency training, creation of partnerships with existing advocacy networks, and technological innovation, dermatology residents can harness their skill set to aid marginalized communities.Metastatic breast cancer initially may present with cutaneous lesions. The goal of this systematic review was to evaluate available reports where the initial discovery of primary breast cancer occurred through the diagnosis of metastatic cutaneous lesions. We aimed to better understand these cases and the role of dermatologists in their diagnosis. A review of the literature for case reports and retrospective studies was conducted using the following databases MEDLINE/PubMed, EMBASE, Cochrane library, CINAHL, and EBSCO. The PRISMA guidelines were utilized. Studies were included if they reported a cutaneous metastasis of a primary breast cancer in females. Studies were excluded if skin metastasis occurred in a patient with a history of breast cancer. Thirty-six publications were identified. Among these, 27 were case reports, and 9 were retrospective reviews. An enhanced understanding of how these cutaneous metastases present may be of clinical benefit to physicians, particularly dermatologists.