A case report of acute simultaneous cardiocerebral infarction: possible pathophysiology.

The occurrence of acute myocardial infarction (AMI) accompanied by ischemic cerebrovascular accidents has rarely been reported in previous articles. In this report, we present a 72-year-old female patient with massive cerebral infarction secondary to acute anterior and high lateral wall myocardial infarction, finally resulting in a deep coma. The patient ultimately failed to respond to aggressive resuscitation and succumbed to cardiogenic shock and fatal ventricular arrhythmias. We consider that the co-occurrence of these diseases is more than just a coincidence, and that there may be a connection between them. In this article, we performed an in-depth exploration and discussion of the explanation of this phenomenon. It is essential to recognize these situations in the early stages, which determines the follow-up treatment and prognosis. We suggest that decisions regarding patient management should be based on hemodynamic stability, close cardiac monitoring, and the site of cerebral infarction, and also emphasize that the evaluation of hemodynamic status in these patients is a prerequisite for deciding whether to treat the cerebral or coronary infarction first. The present report is written for the purpose of reminding readers of this rare and severe situation, and to emphasize the necessity for further research on how to deal with it best.

The plant virus microscope image registration method based on mismatches removing.

The electron microscopy is one of the major means to observe the virus. The view of virus microscope images is limited by making specimen and the size of the camera's view field. To solve this problem, the virus sample is produced into multi-slice for information fusion and image registration techniques are applied to obtain large field and whole sections. Image registration techniques have been developed in the past decades for increasing the camera's field of view. Nevertheless, these approaches typically work in batch mode and rely on motorized microscopes. Alternatively, the methods are conceived just to provide visually pleasant registration for high overlap ratio image sequence. This work presents a method for virus microscope image registration acquired with detailed visual information and subpixel accuracy, even when overlap ratio of image sequence is 10% or less. The method proposed focus on the correspondence set and interimage transformation. A mismatch removal strategy is proposed by the spatial consistency and the components of keypoint to enrich the correspondence set. And the translation model parameter as well as tonal inhomogeneities is corrected by the hierarchical estimation and model select. In the experiments performed, we tested different registration approaches and virus images, confirming that the translation model is not always stationary, despite the fact that the images of the sample come from the same sequence. The mismatch removal strategy makes building registration of virus microscope images at subpixel accuracy easier and optional parameters for building registration according to the hierarchical estimation and model select strategies make the proposed method high precision and reliable for low overlap ratio image sequence.