Title :
Automatic segmentation of liver blood vessels using level set method
Author :
Fei, Yang ; Park, Jong Won
Author_Institution :
Dept. of Inf. Commun. Eng., Chungnam Nat. Univ., Daejeon
Abstract :
Liver blood vessels play an important role in the diagnosis and treatment of the hepatic disease. In this paper, we present an automatic segmentation method of liver blood vessels from abdominal MDCT images using the level set method. Initialization of the level set function is the most important thing. For the flexible initialization, we segment the liver automatically using morphological filtering and an improved Otsu´s threshold method, and then the liver boundary is used as the level set initialization. After segmenting, the liver and liver blood vessels 2D and 3D images are provided.
Keywords :
blood vessels; diseases; edge detection; filtering theory; image segmentation; liver; mathematical morphology; medical image processing; set theory; 2D liver blood vessel images; 3D liver blood vessel images; Otsu threshold method; abdominal MDCT images; automatic segmentation method; hepatic disease diagnosis; hepatic disease treatment; level set initialization; level set method; liver boundary; morphological filtering; Abdomen; Active contours; Biomedical imaging; Blood vessels; Cancer; Equations; Filtering; Image segmentation; Level set; Liver diseases;
Conference_Titel :
Audio, Language and Image Processing, 2008. ICALIP 2008. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1723-0
Electronic_ISBN :
978-1-4244-1724-7
DOI :
10.1109/ICALIP.2008.4590256
