Estimating myocardial motion by 4D image warping
نویسندگان
چکیده
منابع مشابه
Estimating the 4D Respiratory Lung Motion by Spatiotemporal Registration and Building Super-Resolution Image
The estimation of lung motion in 4D-CT with respect to the respiratory phase becomes more and more important for radiation therapy of lung cancer. Modem CT scanner can only scan a limited region of body at each couch table position. Thus, motion artifacts due to the patient's free breathing during scan are often observable in 4D-CT, which could undermine the procedure of correspondence detectio...
متن کاملBiomechanically-Constrained 4D Estimation of Myocardial Motion
We propose a method for the analysis of cardiac images with the goal of reconstructing the motion of the ventricular walls. The main feature of our method is that the inversion parameter field is the active contraction of the myocardial fibers. This is accomplished with a biophysically-constrained, four-dimensional (space plus time) formulation that aims to complement information that can be ga...
متن کامل4D MAP Image Reconstruction Incorporating Organ Motion
Four-dimensional respiratory correlated computed tomography (4D RCCT) has been widely used for studying organ motion. Most current algorithms use binning techniques which introduce artifacts that can seriously hamper quantitative motion analysis. In this paper, we develop an algorithm for tracking organ motion which uses raw time-stamped data and simultaneously reconstructs images and estimates...
متن کاملEstimating Vp/Vs ratios using smooth dynamic image warping
Interval Vp/Vs ratios can be estimated from derivatives of vertical shifts that align reflections in PP and PS images. This alignment, however, is nontrivial because features in PS images are not simply time-shifted versions of features in PP images. To align PP and PS images we use a smooth dynamic image warping algorithm that can be accurate with respect to problems unrelated to time shifts, ...
متن کاملEstimating VTLN warping factors by distribution matching
Several methods exist for estimating the warping factors for vocal tract length normalization (VTLN), most of which rely on an exhaustive search over the warping factors to maximize the likelihood of the adaptation data. This paper presents a method for warping factor estimation that is based on matching Gaussian distributions by Kullback-Leibler divergence. It is computationally more efficient...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Pattern Recognition
سال: 2009
ISSN: 0031-3203
DOI: 10.1016/j.patcog.2009.04.022