Title of article :
modified optical flow Technique for cardiac motions analysis in echocardiography images
Author/Authors :
Torkashvand، paria نويسنده Department of Biomedical Engineering, School of electrical engineering , , Behnam، Hamid نويسنده Department of Biomedical Engineering , , Alizadeh Sani، Zahra نويسنده Cardiac Imaging, Rajaei Cardiovascular Medical and Research Center, Teharn ,
Issue Information :
فصلنامه با شماره پیاپی 0 سال 2012
Abstract :
The quantitative analysis of cardiac motions in echocardiography images is a noteworthy issue in processing of these images. Cardiac motions can be estimated by optical flow (OF) computation in different regions of image which is based on the assumption that the intensity of a moving pattern remains constant in consecutive frames. However, in echocardiographic sequences, this assumption may be violated because of unique specifications of ultrasound. There are some methodsapplying the brightness variation effect in OF. Almost all of them have presented a mathematical brightness variation model globally in the images. Nevertheless, there is not a brightness variation model for echocardiographic images in these methods. Therefore, we are looking for a method to apply brightness variations locally in different regions of the image. In this study, we proposed a method to modify ausual OF technique by considering
intensity variation. To evaluate this method, we implement two other OF-based methods, one usual OF method and a modified
OF method applying brightness variation as a multiplier and an offset (generalized dynamic imaging model [GDIM]) and compare them with ours. These algorithms and ours were implemented on real 2D echocardiograms. Our method resulted in more accurate estimations than two others. At last, we compared our method with expert’spoint of view and observed that three distance metrics between them was appropriately smaller than other methods. The Haussdorff distance between the estimated curve defined by the proposed method and the expert defined curve is 4.81 pixels less than this distance for Lucas-Kanade and 2.28 pixels less than GDIM.
Journal title :
Journal of Medical Signals and Sensors (JMSS)
Journal title :
Journal of Medical Signals and Sensors (JMSS)