منابع مشابه
Flow Imaging: Cardiac Applications of 3D Cine Phase-Contrast MRI
Global and regional blood flow dynamics are of pivotal importance to cardiac function. Fluid mechanical forces can affect hemolysis and platelet aggregation, as well as myocardial remodeling. In recent years, assessment of blood flow patterns based on time-resolved, three-dimensional, three-directional phase-contrast magnetic resonance imaging (3D cine PC MRI)(1) has become possible and rapidly...
متن کاملAutomated cardiac motion estimation from 3D Cine DENSE MRI
Background 3D cine displacement encoding with stimulated echoes (DENSE) directly encodes tissue displacement into MR phase data, providing a comprehensive 3D view of cardiac motion and strain. Unfortunately, 3D cine DENSE motion analysis presently requires manually delineated anatomy. An automated analysis would reduce interobserver variability, improve measurement throughput, and simplify data...
متن کامل3D Cardiac Cine Imaging Using a 3D Cones Trajectory
Introduction: Cine imaging is a widely accepted clinical tool for assessing cardiac wall motion and performing volume measurements. Conventional cine sequences acquire multiple cardiac phases of a single 2D slice during a breathheld scan, with multiple slices collected over multiple breath-holds. While respiratory artifacts are minimized and the temporal resolution is high for each slice, it ca...
متن کاملZoomed cardiac CINE-MRI using nonlinear phase preparation
Zoomed cardiac CINE-MRI using nonlinear phase preparation Sebastian Littin, Maxim Zaitsev, Waltraud Brigitte Buchenberg, Anna Masako Welz, Hans Weber, Feng Jia, Frederik Testud, Daniel Gallichan, Jürgen Hennig, and Walter R. T. Witschey Department of Radiology, Medical Physics, University Medical Center Freiburg, Freiburg, Germany, EPFL Lausanne, Switzerland, Department of Radiology, University...
متن کاملAutomatic Segmentation and Disease Classification Using Cardiac Cine MR Images
Segmentation of the heart in cardiac cine MR is clinically used to quantify cardiac function. We propose a fully automatic method for segmentation and disease classification using cardiac cine MR images. A convolutional neural network (CNN) was designed to simultaneously segment the left ventricle (LV), right ventricle (RV) and myocardium in end-diastole (ED) and end-systole (ES) images. Featur...
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ژورنال
عنوان ژورنال: Japanese Journal of Radiological Technology
سال: 1995
ISSN: 0369-4305,1881-4883
DOI: 10.6009/jjrt.kj00001352543