Title :
Extraction and Analysis of Structural Features of Lateral Ventricle in Brain Medical Images
Author :
Hui-Fuang Ng ; Cheng-Hung Chuang ; Chih-Hsueh Hsu
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Asia Univ., Taichung, Taiwan
Abstract :
Structural characteristics of lateral ventricle in brain medical images from CT scan can be helpful for distinguishing between normal brain structure and abnormal brain structure. This paper presents image processing algorithms for automatic segmentation and measurement of structural features of lateral ventricle in brain medical images. the effectiveness of such features on brain structure discrimination is also examined. Experimental results show that structural features of lateral ventricle in brain medical images, including Frontal Horn Radius and Ventricular Index, are useful for discriminating between normal and abnormal brain structure.
Keywords :
biomedical measurement; brain; computerised tomography; feature extraction; image segmentation; medical image processing; CT scan; abnormal brain structure; automatic structural feature measurement; automatic structural feature segmentation; brain medical images; brain structure discrimination; frontal horn radius; image processing algorithms; lateral ventricle structural feature analysis; lateral ventricle structural feature extraction; normal brain structure; ventricular index; Brain; Computed tomography; Feature extraction; Image segmentation; Indexes; Medical diagnostic imaging; brain medical image; feature extraction; image processing; lateral ventricle;
Conference_Titel :
Genetic and Evolutionary Computing (ICGEC), 2012 Sixth International Conference on
Conference_Location :
Kitakushu
Print_ISBN :
978-1-4673-2138-9
DOI :
10.1109/ICGEC.2012.93
