Dijkers J J, van Wijk C, Vos F M, Florie J, Nio Y C, Venema H W, Truyen R, van Vliet L J
Quantitative Imaging Group, Department of Imaging Science and Technology, Faculty of Applied Sciences, Delft University of Technology, Delft, The Netherlands.
Med Image Comput Comput Assist Interv. 2005;8(Pt 1):712-9. doi: 10.1007/11566465_88.
Virtual colonoscopy is a relatively new method for the detection of colonic polyps. Their size, which is measured from reformatted CT images, mainly determines diagnosis. We present an automatic method for measuring the polyp size. The method is based on a robust segmentation method that grows a surface patch over the entire polyp surface starting from a seed. Projection of the patch points along the polyp axis yields a 2D point set to which we fit an ellipse. The long axis of the ellipse denotes the size of the polyp. We evaluate our method by comparing the automated size measurement with those of two radiologists using scans of a colon phantom. We give data for inter-observer and intra-observer variability of radiologists and our method as well as the accuracy and precision.
虚拟结肠镜检查是一种检测结肠息肉的相对较新的方法。息肉大小通过重新格式化的CT图像测量，这是诊断的主要依据。我们提出了一种自动测量息肉大小的方法。该方法基于一种稳健的分割方法，该方法从一个种子点开始在整个息肉表面生长一个表面补丁。补丁点沿息肉轴的投影产生一个二维点集，我们对其拟合一个椭圆。椭圆的长轴表示息肉的大小。我们通过将自动测量的大小与两位放射科医生使用结肠模型扫描测量的大小进行比较来评估我们的方法。我们给出了放射科医生和我们的方法的观察者间和观察者内变异性的数据，以及准确性和精确性。
