Résumé
Objective To investigate the morphology and relationships with the adjacent structures in the pineal region on the thin sections and to provide anatomic data for imaging diagnosis and surgical treatment of diseases in this region. Methods By CT and MRI examination, one normal head specimen was selected for this study. Using the computerized freezing milling technique, the specimen was sliced from anterior to posterior. The in vivo MR images were obtained from ten normal Chinese male adult volunteers using a 3.0 T GE scanner. The base lines of the sectioning and the MR scan were perpendicular to the AC-PC line. Then primary sections were contrasted with the corresponding MR images. Results By the appearance of the pineal peduncle and the disappearance of the pineal gland, the pineal region could be divided into three parts from anterior to posterior, and the shape changed from an inverted triangle to a trapezoid and a triangle gradually. The first interspace was getting wider in the anterior and middle parts of the pineal region, while in the posterior part of the pineal region, it was getting narrower and disappeared finally. From anterior to posterior, the bilateral internal cerebral veins were always in the midline of the pineal region and descended gradually.Conclusion By the computerized freezing milling technique, the anatomic details and adjacent relationships of the pineal region could be exhibited clearly in the thin serial sections, which could help the imaging diagnosis and surgical treatments for minute diseases in this region.
Résumé
Objective To study on how to remove the background in the digital images of visible human body.Methods After removing most of the background with standardized thresholds segmentation,we did identification,connection and noise-removing work against the edge around the target verge,and then the results of these two methods were combined to get the final image.Results Complex segmentation technology based on edge and thresholds effectively removed the background in the image of human body.Conclusion Compared with other segmentation algorithm,the algorithm presented here has better practical effect.
Résumé
Objective To reconstruct the Chinese visible human (CVH) dataset with the reconstruction algorithm, the Visualization Toolkit (VTK), and to realize long-distance accessing and alternating operation associated with virtual reality modeling language (VRML) under web condition. Methods 3D structure of the humerus was reconstructed and put out in web condition by applying the methed of capturing data of digitalized visible human. Results The 3D structure of the humerus was successfully reconstructed. These 3D images displayed the anatomical relationships of the structures of the humerus in explore windows with any angle and scale. All reconstructed structures were represented conveniently. Conclusion Based on VTK and VRML, 3D reconstruction of the humerus is realized, which will provide the support and reference for further research on the others structure's visualization of human body, and also for Visualization in Scientific Computing and long-distance teaching in anatomy.