As the most popular simplified model of the optical imaging system, the acquisition of the Gaussian point spread function (PSF) parameter is one of the hotspots and key points on which people do research in the field of image restoration. Based on the idea by which there exists deterministic mathematical relationship between Gaussian OTF feature points as well as its parameter and the frequency representation of the image in an existed literature, we proposed an automatic, accurate, stable, and improved approach. This method is able to give prominence to the related calculation feature by a Gaussian convolution and degeneration operation and finally realize the automatic estimation of PSF parameter of a microscopic image. Experiments have proved that a good restoration result can be achieved utilizing the estimated PSF by the present method, which is of considerable application and reference value in restoration of other sorts with Gaussian approximate PSF model or 3D microscopic image restoration .
Image interpolation is often required during medical image processing and analysis. Although interpolation method based on Gaussian radial basis function (GRBF) has high precision, the long calculation time still limits its application in field of image interpolation. To overcome this problem, a method of two-dimensional and three-dimensional medical image GRBF interpolation based on computing unified device architecture (CUDA) is proposed in this paper. According to single instruction multiple threads (SIMT) executive model of CUDA, various optimizing measures such as coalesced access and shared memory are adopted in this study. To eliminate the edge distortion of image interpolation, natural suture algorithm is utilized in overlapping regions while adopting data space strategy of separating 2D images into blocks or dividing 3D images into sub-volumes. Keeping a high interpolation precision, the 2D and 3D medical image GRBF interpolation achieved great acceleration in each basic computing step. The experiments showed that the operative efficiency of image GRBF interpolation based on CUDA platform was obviously improved compared with CPU calculation. The present method is of a considerable reference value in the application field of image interpolation.
The extracellular matrix provides a unique tissue-specific microenvironment for resident cells, supporting the essential functions required for tissue architecture and biochemical signaling. Decellularized extracellular matrix (dECM) is designed to eliminate cells that mediate immunological rejection while preserving the native tissue structure and matrix functionality. dECM has attracted significant attention in tissue engineering applications and has evolved into a novel and increasingly sophisticated biomaterial. This article summarizes representative protocols for decellularization methods, explores the latest applications of decellularized tissue-derived materials and bioinks in the field of cardiothoracic surgery, analyzes the current challenges and issues confronting dECM, and discusses future perspectives for its development.
Objective To summarize the research progress on rodent models of cervical spinal cord injury (SCI). Methods The relevant domestic and foreign literature in recent years was reviewed, the methods of establishing the rodent models of cervical SCI and the evaluation methods of behavior, imaging, neuroelectrophysiology, and histology were summarized. Results Cervical SCI involves primary and secondary injuries. Primary cervical SCI can be simulated with contusion, contusion compression, fracture dislocation, spinal cord traction, and spinal cord transection; scondary cervical SCI can be simulated with photochemical model and excitotoxicity model. Certain evaluation methods such as behavior, imaging, neuroelectrophysiology, and histology are used to evaluation during model building and research. Conclusion Different rodent models of cervical SCI have different advantages and application directions, and it is critical importance for the study of cervical SCI to establish effective animal models.