Vessel Attachment Nodule Segmentation Based on Mean-Shift and EM
For solving the segmentation problem of vessel attachment nodule, a new adaptive bandwidth chosen method based on EM is proposed and apply it into Mean-shift algorithm to segment vessel attachment nodule. This method has some advantages such as time low complexity and correct bandwidth when comparing it to the method of bandwidth chosen based on statistical analysis rule or optimized rule, Imposing the vertical orientation vectors of vessel’s gradient submitting to normal distribution and the vertical orientation vectors of nodule’s gradient submitting to uniform distribution, modeling the nodule connected vessel, and estimating model parameter by EM, extract bandwidth parameter in Mean-shift based on the weight of uniform distribution. The proposed method was tested on synthetic data set and the clinical chest CT volumes, and all the results were correct. The results revealed that the proposed method is successful in segmentation lung vessel attachment nodule.
Helen Zhang, Gang Shen and David Jin
S. S. Sun "Vessel Attachment Nodule Segmentation Based on Mean-Shift and EM", Advanced Materials Research, Vols. 204-210, pp. 589-595, 2011