As a common secondary pathophysiological process in postischemic stroke (IS), cytotoxic brain edema (CBE) is an independent factor leading to poor prognosis of patients. Near-field coupling (NFC) technology has some advantages such as non-invasive, non-contact, and unimpeded penetration of the skull. In theory, it can reflect the difference between normal and edema tissues through the near-field coupling phase shift (NFCPS) in the electromagnetic wave transmission trait.

Combining NFC detection principle and computer programming, we established a high-performance real-time monitoring system with functions such as automatic setting of measurement parameters, data acquisition, real-time filtering and dynamic waveform display. To investigate the feasibility of this system to detect CBE, a saline simulation experiment and a 24-hour real-time monitoring experiment after middle cerebral artery occlusion (MCAO) in rats were carried out.

The results of the saline simulation experiment showed that the change of NFCPS was proportional to the increase of the simulated edema solution, and the variation range of NFCPS was more than 9∘ after 5ml injection. In the 24-hour monitoring after MCAO, the NFCPS of the experimental group showed an overall downward trend over time an average change of -17.7868 ± 1.6325∘ and the change rate gradually decreased. this website The 24-hour NFCPS in the control group fluctuates slightly around the initial value, which has no obvious upward or downward trend.

The intragroup and intergroup difference statistical analysis shows that NFCPS can effectively distinguish different intracranial pathophysiological states after IS. This work provides sufficient evidence and a technical basis for using NFCPS to monitor CBE in the future.

The intragroup and intergroup difference statistical analysis shows that NFCPS can effectively distinguish different intracranial pathophysiological states after IS. This work provides sufficient evidence and a technical basis for using NFCPS to monitor CBE in the future.

This study aims to accurately measure the range of motion of the sternoclavicular (SC) joint using 3D reconstruction and image registration. The motion of the SC joint is analyzed by means of axial angle representation to identify the kinematical characteristics of this joint.

A total of 13 healthy volunteers were enrolled in the study. The limit postures of four SC joint movements were scanned by computerized tomography. The images were integrated with reconstruction and registration techniques. The range of motion of the SC joint was measured using 3D modelling. The axial angle was used to indicate the range of motion of the SC joint. The difference between the dominant side and non-dominant side was compared and the differences in axial angle of the SC joint in different postures were compared.

The active axial angle of the SC joint on the dominant side was approximately 1∘ higher than that of the non-dominant side when the upper limb moved from a rest position to a posteroinferior position. In the s rotation function of the SC joint in the combined motion of shoulder joints.

The combination of 3D reconstruction and image registration is a direct and accurate method of measuring the motion of the SC joint. Axial angle representation is an intuitive method of expressing rotation in a 3D space that allows for more convenient comparison; it is also more in line with the characteristics of human anatomy and kinesiology and therefore more accurately reflects the characteristics of joint motion. It is therefore useful for guiding clinical practice. In a physical examination, the extension of the upper limb from the horizontal position to the posterosuperior position and from the rest position to the posteroinferior position can best reflect the rotation function of the SC joint in the combined motion of shoulder joints.

Many medical image processing problems can be translated into solving the optimization models. In reality, there are lots of nonconvex optimization problems in medical image processing.

In this paper, we focus on a special class of robust nonconvex optimization, namely, robust optimization where given the parameters, the objective function can be expressed as the difference of convex functions.

We present the necessary condition for optimality under general assumptions. To solve this problem, a sequential robust convex optimization algorithm is proposed.

We show that the new algorithm is globally convergent to a stationary point of the original problem under the general assumption about the uncertain set. The application of medical image enhancement is conducted and the numerical result shows its efficiency.

We show that the new algorithm is globally convergent to a stationary point of the original problem under the general assumption about the uncertain set. The application of medical image enhancement is conducted and the numerical result shows its efficiency.

Grape seed proanthocyanidin extract (GSPE) has a certain resistance to contrast light, which makes the boundary of the imaging image unclear.

Because of this, an image processing algorithm is needed to process the contrast image to study the role of GSPE in the process of anti-ultraviolet.

In this paper, the fuzzy edges of contrast images were processed by deep learning algorithm, and the changes of VEGF and PEDF expression in HaCaT cells before and after UVA irradiation and after GSPE intervention were studied.

The experiment results show that after processing, the edge and boundary of the image become clear and separable, which can be used to compare and analyze the test process. The image comparison results show that GSPE can down regulate the expression of VEGF gene and protein, and up regulate the expression of PEDF gene and protein. The synergistic effect of GSPE and GSPE can inhibit angiogenesis. It is confirmed that GSPE has the effect of anti-ultraviolet ray induced early angiogenesis.

The experiment results show that after processing, the edge and boundary of the image become clear and separable, which can be used to compare and analyze the test process. The image comparison results show that GSPE can down regulate the expression of VEGF gene and protein, and up regulate the expression of PEDF gene and protein. The synergistic effect of GSPE and GSPE can inhibit angiogenesis. It is confirmed that GSPE has the effect of anti-ultraviolet ray induced early angiogenesis.