Title :
Content-Based Medical Ultrasound Image Retrieval Using a Hierarchical Method
Author :
Lin, Jiangli ; Chen, Ke ; Zou, Yuanwen ; Yin, Guangfu
Author_Institution :
Dept. of Biomed. Eng., Sichuan Univ., Chengdu, China
Abstract :
Content-based image retrieval (CBIR) has been major topics of research for medical image database query instead of text-based searching in recent years. Content-based access to medical images for supporting clinical data and scenarios for the integration of content-based access methods into picture archiving and communication system (PACS) has been created. In this paper, a hierarchical retrieval method for ultrasound images is proposed. The experimental results show a higher efficiency of the proposed algorithm than other single feature-based methods.
Keywords :
biomedical ultrasonics; content-based retrieval; image retrieval; medical image processing; content based medical ultrasound image retrieval; content-based image retrieval; hierarchical method; hierarchical retrieval; medical image database query; picture archiving and communication system; text based searching; ultrasound images; Biomedical imaging; Colored noise; Content based retrieval; Histograms; Image databases; Image retrieval; Information retrieval; Medical diagnostic imaging; Picture archiving and communication systems; Ultrasonic imaging;
Conference_Titel :
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4129-7
Electronic_ISBN :
978-1-4244-4131-0
DOI :
10.1109/CISP.2009.5304139