Vessel Attachment Nodule Segmentation Based on Mean-Shift and EM

Abstract:

Article Preview

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.

Info:

Periodical:

Advanced Materials Research (Volumes 204-210)

Edited by:

Helen Zhang, Gang Shen and David Jin

Pages:

589-595

DOI:

10.4028/www.scientific.net/AMR.204-210.589

Citation:

S. S. Sun "Vessel Attachment Nodule Segmentation Based on Mean-Shift and EM", Advanced Materials Research, Vols. 204-210, pp. 589-595, 2011

Online since:

February 2011

Authors:

Export:

Price:

$35.00

In order to see related information, you need to Login.

In order to see related information, you need to Login.