Rapid Image Registration for Extended-Field-of-View Ultrasound
Extended field-of-view (EFOV) can acquire a full fieldof vision, which can help doctors to make more objective andaccurate diagnosis. Current EFOV techniques suffer from thelow computation speed due to the large amount of ultrasounddata of image blocks to be registered. This paper describes anovel technique to register 2D ultrasound images and formEFOV images with significantly reduced computation time byusing a less number of image frames. With an assumption that the moving direction and speed for the probe are nearly identicalduring the data collection, we are able to estimate the movingspeed of the probe by registering the frames one by one at thebeginning of data collection for roughly determining the frameinterval for the whole image sequence. Using the estimated frameinterval, a smaller number of frames can be selected. Theoverlapping area and searching range for the registration of theselected frames can be pre-determined. To further improve thecomputational efficiency and robustness of the registration, weinnovatively propose to select fewer blocks which are regarded as the most valid blocks based on the importance of image contentin each block. The experimental results show that our methodcan produce as good expanded images as the traditional methoddoes. Moreover, the computation time is significantly reduced.
Shuohe Zheng Qinghua Huang Lianwen Jin Minhua Lu Tianfu Wang
School of Electronic and Information Engineering, South China University of Technology Guangzhou, Ch Department of Biomedical Engineering, Medical School,Shenzhen University Shenzhen, China
国际会议
成都
英文
1-4
2010-06-18（万方平台首次上网日期，不代表论文的发表时间）