A Convolutional Neural Network-based Deformable Image Registration Method for Cardiac Motion Estimation from Cine Cardiac MR Images

In this work, we describe an unsupervised deep learning framework featuring a Laplacian-based operator as smoothing loss for deformable registration of 3D cine cardiac magnetic resonance (CMR) images. Before registration, the input 3D images are corrected for slice misalignment by segmenting the lef...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Upendra, Roshan Reddy, Wentz, Brian Jamison, Shontz, Suzanne M, Linte, Cristian A
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Motion estimation Myocardium Smoothing methods Solid modeling Strain Three-dimensional displays Two dimensional displays
Online-Zugang:	Volltext
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