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当前用于医学诊断和治疗的成像技术,如超声、核磁共振等,从本质上说是一种二维断层图像,无法精确地给出某些关键病变组织的三维影像。提出基于激光诊断的医学数据可视化技术研究,设计了一种适用于激光诊断的三维重建模型,基于双线性插值算法对检测部位进行三维图像的体绘制;并采用纹理映射和基于方向滤波核的足迹算法,加速体绘制速度并提高显示图像的质量。临床数据表明,提出的可视化技术研究运算速度快、绘制的三维影像轮廓清晰、并可以将误差控制在几个灰度级之内。
Current imaging techniques used in medical diagnosis and treatment, such as ultrasound and MRI, are essentially two-dimensional tomographic images that can not accurately give the three-dimensional images of some key diseased tissues. Based on the research of medical data visualization technology based on laser diagnosis, a three-dimensional reconstruction model suitable for laser diagnosis is designed. Based on bilinear interpolation algorithm, volume rendering of three-dimensional images is carried out. Texture mapping and directional filter kernel Footprint algorithms accelerate the rendering speed and improve the quality of the displayed image. The clinical data shows that the proposed visualization technology has the advantages of fast computing speed, clear outline of the drawn 3D image and control of the error within several gray levels.