目的:探讨鞍上池在中国数字化可视人体(Chinese visible human,CVH)与CT、MRI上的横断面解剖形态学表现。方法:选择做64层螺旋CT和MRI头部检查的健康志愿者各60例,获得5mm层厚横断面图像。从第2例中国数字化可视人体数据集中选取与CT、MRI相对应层面的头部薄层连续横断面标本图像,对照观察鞍上池在CVH、MRI与CT图像上的正常解剖形态、毗邻及内部结构。结果:CVH图像上,鞍上池表现为六角形和五角形两种形状。CVH薄层横断面图像能连续、清晰地显示鞍上池的正常形态、毗邻及内部结构、60例CT及MRI图像上,鞍上池全部显示,但解剖结构均不及CVH清晰。鞍上池在CT、MRI横断面图像上形状变化更大.以六角形最多,五角形次之,四角形最少,相应毗邻及内部结构也有所不同。六角形鞍上池在CVH、CT、MR1上有良好的对应关系.五角形鞍上池部分相匹配,CVH图像上无四角形鞍上池。结论:通过与CT、MRI进行对照研究,中国数字化可视人体能为颅脑疾病的影像识别和诊断提供断层解剖学依据。
Objective: To investigate the transverse sectional anatomic morphological features of the suprasellar cistern on the Chinese visible human (CVH)and CT, MRI. Methods: A series of 5 mm thick standard cerebral transverse images of MRI and 64-slice spiral CT were collected from 60 volunteers, respectively. Transverse sectional anatomic data of the cerebrum were chosen from the second Chinese visible human databases. The normal anatomic morphology, content and adjacent structures of the suprasellar cistern were observed meticulously, and the anatomic structures of the suprasellar cistern was compared with the corresponding CT and MRI. Results: On the CVH sections, the suprasellar cistern appeared as hexagonal and pentagonal. The normal anatomic morphological structures, content and adjacent structures of the suprasellar cistern could be observed successively and clearly on the thin transverse sectional CVH. The suprasellar cistern was visible in all of CT and MRI cases,but to accurately defining their anatomic structures was inferior to the CVH. On CT and MRI images, the suprasellar cistern present different shapes: most of them were hexagonal, secondary were pentagonal, and the least were tetragonal. And the content and adjacent structures of the suprasellar cistern changed with different shapes. Hexagonal suprasellar cistern had a good overall correlation between the CVH, CT and MR1.A part of pentagonal suprasellar cistern of CT and MRI matched with the CVH. No tetragonal suprasellar cistern was found on the CVH. Conclusion: In combination with CT and MRI, the CVH can provide sectional anatomic data for clinical imaging recognization and diagnosis of the craniocerebral diseases.