Choong, M. Y. and Seng, M. C. and Yang, Soo Siang and Aroland, McOnie Jilui Kiring and Teo, Kenneth Tze Kin (2012) Foetus ultrasound medical image segmentation via variational level set algorithm. In: 3rd International Conference on Intelligent Systems, Modelling and Simulation (ISMS 2012) , 8-10 February 2012, Kota Kinabalu, Sabah, Malaysia.
Full text not available from this repository.Abstract
Abstract—There is a challenge to segment the medical image which is often blurred and consists of noise. The objects to be segmented are always changing shape. Thus, there is a need to apply a method to automated segment well the objects for future analysis without any assumptions about the object’s topology are made. In general, when performing pregnancy ultrasound scanning, obstetrician needs to find out the best position or angle of the foetus and freeze the scene. The obstetrician will click on the crown and the rump of the foetus to get the foetus length. The segmentation technique applied is level set method. A variational level set algorithm has been successfully implemented in medical image segmentation (Xray image, MRI image and ultrasound image). The results showed the level set contour evolved well on the low contrast and noise consisting medical image, especially the ultrasound image.
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Keyword: | Image segmentation, Level set algorithms, Foetus ultrasound medical image |
| Subjects: | R Medicine > R Medicine (General) > R5-920 Medicine (General) > R855-855.5 Medical technology Q Science > QA Mathematics |
| Department: | SCHOOL > School of Engineering and Information Technology |
| Depositing User: | ADMIN ADMIN |
| Date Deposited: | 16 Jul 2012 10:25 |
| Last Modified: | 08 Sep 2014 12:43 |
| URI: | https://eprints.ums.edu.my/id/eprint/4553 |
Actions (login required)
 |
View Item |