Model-free reconstruction of 3-D myocardial strain from planar tagged MR images: precision and spatial resolution

2002 ◽  
Author(s):  
T.S. Denney ◽  
E.R. McVeigh
Keyword(s):  
Spatial Resolution ◽  
Myocardial Strain ◽  
Mr Images ◽  
Model Free ◽  
Tagged Mr Images

scholarly journals Artifacts reduction in strain maps of tagged magnetic resonance imaging using harmonic phase

Open Medicine ◽  
2015 ◽  
Vol 10 (1) ◽  
Author(s):  
Daolei Wang ◽  
YaBo Fu ◽  
Muhammad Aqeel Ashraf
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Soft Tissues ◽  
Myocardial Strain ◽  
Resonance Imaging ◽  
Mr Images ◽  
Harmonic Phase ◽  
Tagged Mr Images ◽  
Dc Component ◽  
Tagged Magnetic Resonance Imaging

AbstractTagged Magnetic Resonance Imaging (MRI) is a noninvasive technique for examining myocardial function and deformation. Tagged MRI can also be used in quasistatic MR elastography to acquire strain maps of other biological soft tissues. Harmonic phase (HARP) provides automatic and rapid analysis of tagged MR images for the quantification and visualization of myocardial strain. We propose a new artifact reduction method in strain maps. Image intensity of the DC component is estimated and subtracted from spatial modulation of magnetization (SPAMM) tagged MR images. DC peak interference in harmonic phase extraction is greatly reduced after DC component subtraction. The proposed method is validated using both simulated and MR acquired tagged images. Strain maps are obtained with better accuracy and smoothness after DC component subtraction.

scholarly journals Intracranial Plaque Enhancement in Patients with Cerebrovascular Events on High-Spatial-Resolution MR Images

Radiology ◽  
2014 ◽  
Vol 271 (2) ◽  
pp. 534-542 ◽  
Author(s):  
Ye Qiao ◽  
Steven R. Zeiler ◽  
Saeedeh Mirbagheri ◽  
Richard Leigh ◽  
Victor Urrutia ◽  
...  
Keyword(s):  
Spatial Resolution ◽  
High Spatial Resolution ◽  
Mr Images ◽  
Cerebrovascular Events

scholarly journals Calculation of three-dimensional left ventricular strains from biplanar tagged MR images

1992 ◽  
Vol 2 (2) ◽  
pp. 165-175 ◽  
Author(s):  
Christopher C. Moore ◽  
Walter G. O'Dell ◽  
Elliot R. McVeigh ◽  
Elias A. Zerhouni
Keyword(s):  
Three Dimensional ◽  
Left Ventricular ◽  
Mr Images ◽  
Tagged Mr Images

Spatial bootstrapping for model-free estimation of subcatchment parameter uncertainty for a semi-distributed rainfall runoff model

2021 ◽  
Author(s):  
Everett Snieder ◽  
Usman Khan
Keyword(s):  
Spatial Heterogeneity ◽  
Spatial Resolution ◽  
Parameter Uncertainty ◽  
Spatial Uncertainty ◽  
Performance Criteria ◽  
Rainfall Runoff ◽  
Spatiotemporal Resolution ◽  
Computational Expense ◽  
Model Free ◽  
Uncertainty Estimates

<p>Semi-distributed rainfall runoff models are widely used in hydrology, offering a compromise between the computational efficiency of lumped models and the representation of spatial heterogeneity offered by fully distributed models. In semi-distribute models, the catchment is divided into subcatchments, which are used as the basis for aggregating spatial characteristics. During model development, uncertainty is usually estimated from literature, however, subcatchment uncertainty is closely related to subcatchment size and level of spatial heterogeneity. Currently, there is no widely accepted systematic method for determining subcatchment size. Typically, subcatchment discretisation is a function of the spatiotemporal resolution of the available data. In our research, we evaluate the relationship between lumped parameter uncertainty and subcatchment size. Models with small subcatchments are expected to have low spatial uncertainty, as the spatial heterogeneity per subcatchment is also low. As subcatchment size increases, as does spatial uncertainty. Our objectives are to study the trade-off between subcatchment size, parameter uncertainty, and computational expense, to outline a systematic and precise framework for subcatchment discretisation. A proof of concept is presented using the Stormwater Management Model (EPA-SWMM) platform, to study a semi-urban catchment in Southwestern Ontario, Canada. Automated model creation is used to create catchment models with varying subcatchment sizes. For each model variation, uncertainty is estimated using spatial statistical bootstrapping. Applying bootstrapping to the spatial parameters directly provides a model free method for calculating the uncertainty of sample estimates. A Monte Carlo simulation is used to propagate uncertainty through the model and spatial resolution is assessed using performance criteria including the percentage of observations captured by the uncertainty envelope, the mean uncertainty envelope width, and rank histograms. The computational expense of simulations is tracked across the varying spatial resolution, achieved through subcatchment discretisation. Initial results suggest that uncertainty estimates often disagree with typical values listed in literature and vary significantly with respect to subcatchment size; this has significant implications on model calibration.</p>

Influence of contrast agent and spatial resolution on myocardial strain results using feature tracking MRI

2020 ◽  
Vol 30 (11) ◽  
pp. 6099-6108
Author(s):  
Florian von Knobelsdorff-Brenkenhoff ◽  
Tobias Schunke ◽  
Stephanie Reiter ◽  
Roland Scheck ◽  
Berthold Höfling ◽  
...  
Keyword(s):  
Contrast Agent ◽  
Spatial Resolution ◽  
Feature Tracking ◽  
Myocardial Strain

Myocardial motion analysis based on an optical flow method using tagged MR images

2018 ◽  
Vol 11 (2) ◽  
pp. 202-211 ◽  
Author(s):  
Daiki Tabata ◽  
Haruo Isoda ◽  
Kaori Kato ◽  
Hiroki Matsubara ◽  
Takafumi Kosugi ◽  
...  
Keyword(s):  
Optical Flow ◽  
Motion Analysis ◽  
Mr Images ◽  
Myocardial Motion ◽  
Flow Method ◽  
Optical Flow Method ◽  
Tagged Mr Images
Sign in / Sign up

Export Citation Format

Share Document