Department of Anatomy, Histology and Embryology and K.K. Leung Brain Research Centre, The Fourth Military Medical University, Xi'an 710032, China.
Department of Neurosurgery, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, China.
Comput Intell Neurosci. 2022 Jun 16;2022:7091476. doi: 10.1155/2022/7091476. eCollection 2022.
With the continuous development of computer science and technology, the level of medical image processing and analysis technology has been significantly improved. In order to further optimize the medical imaging technology and provide assistance for medical diagnosis and treatment, this study will explore the head CT image segmentation technology and three-dimensional reconstruction technology based on human anatomy, using two morphological operation methods of image expansion and image corrosion, as well as the triangulation method based on surface contour, Optimize CT image segmentation technology and three-dimensional reconstruction technology. The results show that the CT image segmentation technology based on human anatomy can obtain the more essential morphology and features of the target image, and significantly improve the image quality. The size of the threshold can have a certain impact on the 3D reconstruction effect and reconstruction time to a certain extent. The larger the threshold, the shorter the reconstruction time, but the worse the 3D reconstruction effect. This shows that the target image after fitting has a good reconstruction effect, but the threshold level should be kept at a low level. The head CT image segmentation technology and three-dimensional reconstruction technology based on human anatomy have good application effects and can be popularized and applied in clinical diagnosis and treatment.
随着计算机科学与技术的不断发展,医学图像处理与分析技术水平得到了显著提高。为了进一步优化医学成像技术,为医疗诊断和治疗提供辅助,本研究将探索基于人体解剖学的头部 CT 图像分割技术和三维重建技术,使用图像膨胀和图像腐蚀两种形态学操作方法,以及基于轮廓的三角剖分方法,优化 CT 图像分割技术和三维重建技术。结果表明,基于人体解剖学的 CT 图像分割技术可以获得目标图像更本质的形态和特征,显著提高图像质量。阈值的大小在一定程度上会对三维重建效果和重建时间产生一定的影响,阈值越大,重建时间越短,但三维重建效果越差。这表明拟合后的目标图像具有良好的重建效果,但应保持较低的阈值水平。基于人体解剖学的头部 CT 图像分割技术和三维重建技术具有良好的应用效果,可在临床诊断和治疗中推广应用。