Detecting left ventricular impaired relaxation in cardiac MRI using moving mesh correspondences
… Given a user-provided segmentation of a single frame in a cardiac sequence, the proposed
… via point-to-point correspondences. The moving mesh framework proposed in this study is …
… via point-to-point correspondences. The moving mesh framework proposed in this study is …
A GPU-accelerated deformable image registration algorithm with applications to right ventricular segmentation
… -image parallelism to further parallelize the moving mesh correspondences between a
sequence of images. … Dacher, “Cardiac MRI assessment of right ventricular function in acquired …
sequence of images. … Dacher, “Cardiac MRI assessment of right ventricular function in acquired …
Motion extraction of the right ventricle from 4D cardiac cine MRI using a deep learning-based deformable registration framework
RR Upendra, SMK Hasan, R Simon… - 2021 43rd Annual …, 2021 - ieeexplore.ieee.org
… predicted segmentation mask, and stack the 2D cardiac MRI slices … appearance as well as
shape, by moving mesh vertices … cardiac image frame segmentation is point correspondence …
shape, by moving mesh vertices … cardiac image frame segmentation is point correspondence …
A review of approaches investigated for right ventricular segmentation using short‐axis cardiac MRI
… the cardiac cycle phases in 4D “3D+time” MRI sequences via point-to-point correspondences
[… Although the combined moving mesh FCN has a better performance than the basic FCN, …
[… Although the combined moving mesh FCN has a better performance than the basic FCN, …
A hybrid graph-based approach for right ventricle segmentation in cardiac MRI by long axis information transition
… Point correspondence is the main requirement of PDM. However, establishing correspondences
can also be very challenging due to variability in manual way and detection error in …
can also be very challenging due to variability in manual way and detection error in …
Partitioning the right ventricle into 15 segments and decomposing its motion using 3D echocardiography-based models: the updated ReVISION method
… comparison between 3DE- and cardiac magnetic resonance imaging-derived RV parameters…
vertex in a mesh corresponds to a specific anatomical position, and this correspondence is …
vertex in a mesh corresponds to a specific anatomical position, and this correspondence is …
Mesh-based 3d motion tracking in cardiac mri using deep learning
… correspondence of 3D meshes between time frames, which is important for quantitative
assessment of the cardiac function on the mesh… joint cardiac motion estimation and segmentation …
assessment of the cardiac function on the mesh… joint cardiac motion estimation and segmentation …
Estimation of left ventricular motion from cardiac gated tagged MRI using an image-matching deformable mesh model
… segmentation at phases other than ED (which is required to generate the mesh), we use the
deformed mesh … at the mesh-generation stage to account for 3D correspondences between …
deformed mesh … at the mesh-generation stage to account for 3D correspondences between …
A deep learning network for right ventricle segmentation in short-axis MRI
… [11] proposed a novel RV segmentation method based on moving mesh … Right ventricular
segmentation in cardiac MRI with moving mesh correspondences. Comput Med Imag Grap. …
segmentation in cardiac MRI with moving mesh correspondences. Comput Med Imag Grap. …
A review on right ventricle cardiac MRI segmentation
N Das, S Das - Computer Methods in Biomechanics and …, 2023 - Taylor & Francis
… The cardiac MRI segmentation specifically for the Right Ventricle (RV… The most vital image
segmentation for the fully automatic … the point correspondence in a series of MR images where …
segmentation for the fully automatic … the point correspondence in a series of MR images where …