THREE DIMENSIONAL COLPOSCOPIC IMAGING UNIT

本项目的目标是开发一种结构化的夹持式装置 与镜一起使用的光模式投影，以及软件 升级数字成像镜。该系统将允许用户 从镜图像中恢复三维地形数据 宫颈。该设备的最初应用是提供实时 对异型增生区域的面积测量进行了修正。这种类型的 监测在镜检查中越来越有价值，而且很容易 在各种系统中表演。不幸的是，大多数医生都是 没有意识到传统的2D面积测量算法可能会引入 在应用于3D曲面(如宫颈)时会出现严重错误。一些人 医生们现在正在使用这种方法对 宫颈病变的大小来指导治疗决定。它是, 因此，重要的是正确地执行测量和 准确地说。拟议的系统将实现这一目标。该方法 是在宫颈上投影一个已知几何图形的网格，重新成像网格并 应用数学分析来确定组织的3D地形 在视野中。使用此数据，然后将更正应用于 面积测量算法考虑到宫颈的形状和 在当前检查期间观察它的特定角度。 这是对最近开发的方法的创新应用。 因为它能够产生定义良好的、高对比度的目标 在形象上，它有很高的成功几率。它的商业潜力 被认为是上帝，因为它是一个简单、低成本的系统，可以改进 患者诊断并减少医生固有的相当大的责任 在当前配置的系统中。

The objective of this project is to develop a clip-on device for structured light pattern projection to be used with colposcopes, along with a software upgrade for digital imaging colposcopes. This system will allow the user to recover three dimensional topographic data from colposcopic images of the cervix. The initial application of the device is to provide real time corrections to area measurements of regions of dysplasia. This type of monitoring is of increasing value in colposcopic examinations and is easy to perform with a variety of systems. Unfortunately most physicians are unaware that conventional 2D area measurement algorithms can introduce substantial errors when applied to a 3D surface, such as the cervix. Some physicians are now using this methodology to make serial measurements of the size of a cervical lesion to guide treatment decisions. It is, therefore, important that the measurement be performed properly and accurately. The proposed system will accomplish this goal. The approach is to project a grid of known geometry on the cervix, re-image the grid and apply a mathematical analysis to determine the 3D topography of the tissue in the field of view. Using this data, corrections are then applied to the area measurement algorithm to take into account the shape of the cervix and the specific angle at which it is viewed during the current examination. This is an innovative new application of a recently developed methodology. Because of its ability to generate a well defined, high contrast target image, it has a very high probability of success. Its commercial potential is considered god because it is a simple, low cost system which improves patient diagnoses and reduces the considerable physician liability inherent in currently configured systems.