Title :
Liver Focus Detections Based on Visual Attention Model
Author :
Ma, Li ; Wang, Wenfeng ; Zou, Shaofang ; Zhang, Juan
Author_Institution :
Sch. of Autom., Hangzhou Dianzi Univ., Hangzhou, China
Abstract :
The detection of region of interest (ROI) in medical images has played a very important role in computer aided diagnose. With respect to liver-focus pixels having weak textural and similar intensities with their neighborhood, a novel detection algorithm of abnormal regions in liver CT images has been proposed in this paper by visual attention model. Firstly, a set of statistical texture features for strengthening finer textures and some salient factors based on directional fractals are selected. Then, a saliency map is generated by combinations of several sub-saliency maps. Finally, regions with liver focus are located by labeling the saliency map. Experiments shows the ROI locations could be extracted by the proposed method with accuracy and efficiency for ROI detection of medical images using saliency maps.
Keywords :
computerised tomography; feature extraction; image texture; liver; medical image processing; statistical analysis; visual perception; computer aided diagnosis; feature extraction; liver computer tomography image; liver focus detection; region-of-interest detection; saliency map; statistical texture feature; visual attention model; Biomedical imaging; Cancer detection; Computed tomography; Feature extraction; Focusing; Fractals; Image edge detection; Liver; Medical diagnostic imaging; Object detection;
Conference_Titel :
Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2901-1
Electronic_ISBN :
978-1-4244-2902-8
DOI :
10.1109/ICBBE.2009.5163017
