- 4116 users, 635 publications, 769 reviews -
Real-time Tracking of the Left Ventricle in 3D Ultrasound Using Kalman Filter and Mean Value Coordinates
|Please use this identifier to cite or link to this publication: http://hdl.handle.net/10380/3487|
Published in The MIDAS Journal - Challenge on Endocardial Three-dimensional Ultrasound Segmentation.
Submitted by Olivier Bernard on 10-13-2014.
A method for real-time automatic tracking of the left ventricle (LV) in 3D ultrasound is presented. A mesh model of the LV is deformed using mean value coordinates enabling large variations. Kalman filtering and edge detection is used to track the mesh in each frame. The method is evaluated using the framework of the Challenge on Endocardial Three-dimensional Ultrasound Segmentation (CETUS). The results show that the method is able to robustly track the LV in all sequences with a mean mesh difference of about 2.5 mm
|Download Paper , View Paper|
|Categories:||Feature extraction, Segmentation|
|Keywords:||Segmentation, 3D ultrasound imaging|
Linked Publications more
Improvements in SlicerRT, the radiation therapy research toolkit for 3D Slicer
by Pinter C., Lasso A., Wang A., Sharp G.C., Jaffray D., Fichtinger G.
Model-based left ventricle segmentation in 3D ultrasound using phase image
by Wang C., Smedby O.
Send a message to the author