THREE DIMENSIONAL COLPOSCOPIC IMAGING UNIT

本项目的目标是开发一种夹式装置， 与阴道镜一起使用的光模式投影，沿着软件 升级了数码成像阴道镜 该系统将允许用户 从阴道镜图像中恢复三维地形数据， 子宫颈 该设备的最初应用是提供真实的时间 对发育不良区域的面积测量进行校正。 这种类型的 监测在阴道镜检查中具有越来越大的价值， 以适应不同的系统。 不幸的是，大多数医生 不知道传统的2D区域测量算法可以引入 当应用于3D表面（例如子宫颈）时，会产生相当大的误差。 一些 医生们现在正在使用这种方法来进行系列测量， 宫颈病变的大小来指导治疗决策。 是的， 因此，重要的是正确地执行测量， 准确地 拟议的系统将实现这一目标。 的方法 将已知几何形状的网格投射到子宫颈上，重新成像网格， 应用数学分析来确定组织的3D形貌 在视野中。 使用这些数据，然后将校正应用于 面积测量算法，以考虑子宫颈的形状， 在当前检查期间观察它的特定角度。 这是最近开发的方法的创新新应用。 因为它能够产生一个明确的，高对比度的目标， 图像，它有一个非常高的成功概率。 它的商业潜力 被认为是上帝，因为它是一个简单的，低成本的系统， 患者诊断并减少相当大的医生固有责任 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.