TY - GEN
T1 - A novel method of CT brain images segmentation
AU - Zang, Xiaojun
AU - Wang, Yongtian
AU - Yang, Jian
AU - Liu, Yue
PY - 2010
Y1 - 2010
N2 - In this paper, an algorithm is developed for anatomical structures segmentation based on CT head images. The segmented structure can be used for image guide surgery navigations. In our method, intensity rescaling, the threshold algorithm, region growing method, fast-marching method (FMM) and mathematical morphology are combined and used systematically. Due to the low contrast of the CT images, intensity rescaling is applied to the images to enhance the contrast. Threshold algorithm is used to extract the intracranial area from the enhanced images. Then, FMM is adopted to segment the intracranial images of brain matter and cerebrospinal fluid (CSF). Mathematical morphology is used to correct the pre-calculated images and obtain accurate brain matter and CSF segmentations. The system has been tested with a number of real CT head images and has achieved some promising results.
AB - In this paper, an algorithm is developed for anatomical structures segmentation based on CT head images. The segmented structure can be used for image guide surgery navigations. In our method, intensity rescaling, the threshold algorithm, region growing method, fast-marching method (FMM) and mathematical morphology are combined and used systematically. Due to the low contrast of the CT images, intensity rescaling is applied to the images to enhance the contrast. Threshold algorithm is used to extract the intracranial area from the enhanced images. Then, FMM is adopted to segment the intracranial images of brain matter and cerebrospinal fluid (CSF). Mathematical morphology is used to correct the pre-calculated images and obtain accurate brain matter and CSF segmentations. The system has been tested with a number of real CT head images and has achieved some promising results.
UR - https://www.scopus.com/pages/publications/77956086964
U2 - 10.1109/MIACA.2010.5528508
DO - 10.1109/MIACA.2010.5528508
M3 - Conference contribution
AN - SCOPUS:77956086964
SN - 9781424480128
T3 - 2010 International Conference on Medical Image Analysis and Clinical Application, MIACA 2010
SP - 109
EP - 112
BT - 2010 International Conference on Medical Image Analysis and Clinical Application, MIACA 2010
T2 - 2010 International Conference on Medical Image Analysis and Clinical Application, MIACA 2010
Y2 - 11 June 2010 through 13 June 2010
ER -