Establishment of Three-Dimensional Finite Element Model of Medulla Oblongata-Upper Cervical Spinal Cord Based on Pathological Section and Biomechanical Analysis of Related Injury / 医用生物力学

Objective The three-dimensional (3D) solid model of medulla oblongata-upper cervical spinal cord based on specimen pathological section data was established, and the stress and strain levels of medulla oblongata-upper cervical spinal cord under dentate process compression were obtained by finite element analysis, so as to provide references for clinical research. Methods Mimics was used to process the slice data, so as to establish the point cloud model. SolidWorks was used to locate, edit and optimize the point cloud model, so as to establish the 3D solid model. HyperMesh was used to establish the finite element model and ANSYS was used for finite element analysis. Results The medulla oblongata-upper cervical spinal cord model with clear boundary between gray matter and white matter and white matter fiber bundle was established. The stress and strain levels and stress-strain curves of white matter and gray matter under different compression degrees were obtained. Conclusions Combined with pathological sections of specimens and reverse engineering, the 3D medulla oblongata-upper cervical spinal cord model with clear morphology and structure of gray/white matter can be established. When the medulla oblongata-upper cervical spinal cord is compressed, the stress level of gray matter is lower than that of white matter, and about 20% of compression is the critical state of white matter. When the disease develops beyond the critical state, the biomechanical properties of white matter may fail, resulting in gray matter damage.

Auto recognizing critical values from medical image examination reports by using regular expressions / 实用放射学杂志

Objective To introduce a method of automatically identifying critical values from medical image examination reports and prompt the physician to report it,to prevent the omission of the critical value reporting and improve the medical quality.Methods According to the requirement of critical value reporting system,regular expressions were made for each emergency situation of medical image examination,in order to form a critical value feature library.And an algorithm was designed to find critical value and prompt doctors automatically.Results According to this method,the critical value auto recognize software was developed and had been tested in Nanfang Hospital for 6 months.The software ran well.Conclusion Using regular expressions to define a criteria value feature library and design an algorithm of identifying criteria values,can recognize critical values and prompt physician automatically.