Title :
Semi-Automatic Segmentation and Volume Determination of Brain Mass-Like Lesion
Author :
Koompairojn, Soontharee ; Petkova, Antoniya ; Hua, Kien A. ; Metarugcheep, Pichest
Author_Institution :
Central Florida Univ., Orlando, FL
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 LiveWire, 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.
Keywords :
biomedical MRI; brain; graphical user interfaces; image segmentation; medical image processing; LiveWire; brain mass-like lesion; graphical user interface; magnetic resonance image sequences; semi-automatic segmentation; tumor contour; volume determination; Biomedical applications of radiation; Biomedical imaging; Brain computer interfaces; Graphical user interfaces; Image segmentation; Image sequences; Lesions; Magnetic resonance; Neoplasms; Pathology; Semi-automatic segmentation; brain mass-like lesion;
Conference_Titel :
Computer-Based Medical Systems, 2008. CBMS '08. 21st IEEE International Symposium on
Conference_Location :
Jyvaskyla
Print_ISBN :
978-0-7695-3165-6
DOI :
10.1109/CBMS.2008.115