Title
Semi-Automatic Segmentation And Volume Determination Of Brain Mass-Like Lesion
Abstract
In this paper, a semi-automatic segmentation technique for brain mass-like lesions in Magnetic Resonance (MR) image sequences is proposed. With the graphical user interface of ImageJ, the user can interactively determine the lesion volume. The user needs to only provide the tumor contour on one MR slice using Live Wire, after which the system automatically segments and determines the gross lesion volume. Our experimental results, based on MR image sequences from Prasat Neurological Institute, indicate that the proposed system is effective. © 2008 IEEE.
Publication Date
9-22-2008
Publication Title
Proceedings - IEEE Symposium on Computer-Based Medical Systems
Number of Pages
35-40
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/CBMS.2008.115
Copyright Status
Unknown
Socpus ID
51849137959 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/51849137959
STARS Citation
Koompairojn, Soontharee; Petkova, Antoniya; Hua, Kien A.; and Metarugcheep, Pichest, "Semi-Automatic Segmentation And Volume Determination Of Brain Mass-Like Lesion" (2008). Scopus Export 2000s. 10220.
https://stars.library.ucf.edu/scopus2000/10220