Title :
Study on cerebral vascular extraction and three-dimensional reconstruction based on MRI
Author :
Gu, Fei ; Tao, Ling
Author_Institution :
Dept. of Biomed. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
Abstract :
Information extraction and three-dimensional reconstruction of blood vessel are keystones in visualization of medical images. Firstly, an improved Sobel algorithm combined with fuzzy theory is presented, which is used to extract the cerebral information of serial images and can solve the contradiction between preservation of detail information and high de-noising ability effectively. Then, an improved ray casting volume rendering algorithm based on fusion segmentations is used to improve the rendering speed with a better rendering quality. The experiments show that the presented new method can preserve more complete blood vessel 3-D information and obtain good de-noising effect. This new method can produce better rendering quality and speeds up the volume rendering.
Keywords :
biomedical MRI; feature extraction; fuzzy set theory; image denoising; image reconstruction; medical image processing; rendering (computer graphics); Sobel algorithm; blood vessel reconstruction; cerebral vascular extraction; denoising ability; fusion segmentations; fuzzy theory; magnetic resonance imaging; ray casting volume rendering; Biomedical imaging; Casting; Image reconstruction; Rendering (computer graphics); Surgery; Cerebral vascular extraction; Sobel algorithm; Three-Dimensional reconstruction; fuzzy theory; ray casting rendering;
Conference_Titel :
Progress in Informatics and Computing (PIC), 2010 IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-6788-4
DOI :
10.1109/PIC.2010.5687597