基于光学相干层析图像的眼底黄斑部三维重建

3D Reconstruction of the Macula Lutea Based on Optical Coherence Tomography Images

基于眼底黄斑部光学相干层析(OCT)图像提出一套建立视网膜局部三维模型的方法,并为实现三维OCT临床诊断技术进行前期探索.本文以梯度结合数学形态学的方法分割图像,采用基于互信息的配准算法进行图像配准,并设计了一种改进的线性插值算法进行片层间插值,最后用体绘制方式重建出眼底黄斑部三维模型.基于上述方法在PC机上成功构建出视网膜黄斑部三维模型.该模型外观平滑,较为精确,为临床应用奠定了基础.

This paper was the primary study on 3D OCT （Optical Coherence Tomography） diagnosis technology. An approach was proposed to reconstruct a 3D model of macula based on OCT images. A segmentation method of mathematic morphology combining with grads and an image registration founding on mutual information was adopted , and then, a linear interpolation arithmetic improved was designed to get intermediate images, and finally, volume rendering method was used in 3D reconstruction. With this method,a 3D model of the macula was founded successfully in PC. The model,which has a rather smooth appearance and is quit exact, provides a good base for clinical applications later.