scholarly journals Heart deformation analysis: the distribution of regional myocardial motion patterns at left ventricle

2016 ◽  
Vol 33 (3) ◽  
pp. 351-359 ◽  
Author(s):  
Kai Lin ◽  
Leng Meng ◽  
Jeremy D. Collins ◽  
Varun Chowdhary ◽  
Michael Markl ◽  
...  
Keyword(s):  
Left Ventricle ◽  
Deformation Analysis ◽  
Myocardial Motion ◽  
Motion Patterns ◽  
Heart Deformation Analysis ◽  
Regional Myocardial Motion

scholarly journals Automatic Tracking for Regional Myocardial Motion by Correlation Method with Connecting Multiple ROIs

2004 ◽  
Vol 124 (10) ◽  
pp. 2079-2086 ◽  
Author(s):  
Wataru Ohyama ◽  
Masaki Inami ◽  
Tetsushi Wakabayashi ◽  
Fumitaka Kimura ◽  
Shinji Tsuruoka ◽  
...  
Keyword(s):  
Correlation Method ◽  
Myocardial Motion ◽  
Automatic Tracking ◽  
Regional Myocardial Motion

scholarly journals A quantitative comparison of regional myocardial motion in mice, rabbits and humans using in-vivo phase contrast CMR

2012 ◽  
Vol 14 (1) ◽  
Author(s):  
Bernd Jung ◽  
Katja E Odening ◽  
Erica Dall’Armellina ◽  
Daniela Föll ◽  
Marius Menza ◽  
...  
Keyword(s):  
Phase Contrast ◽  
Quantitative Comparison ◽  
Myocardial Motion ◽  
Regional Myocardial Motion

Location of flow axis line in the left ventricle and its interaction with local myocardial motion

2010 ◽  
Vol 9 (1) ◽  
pp. 24-29 ◽  
Author(s):  
Hiroyuki Nakajima ◽  
Shigeo Sugawara ◽  
Takeyoshi Kameyama ◽  
Haruna Tabuchi ◽  
Shigeo Ohtsuki ◽  
...  
Keyword(s):  
Left Ventricle ◽  
Myocardial Motion ◽  
Flow Axis

scholarly journals Characterization of myocardial motion patterns by unsupervised multiple kernel learning

2017 ◽  
Vol 35 ◽  
pp. 70-82 ◽  
Author(s):  
Sergio Sanchez-Martinez ◽  
Nicolas Duchateau ◽  
Tamas Erdei ◽  
Alan G. Fraser ◽  
Bart H. Bijnens ◽  
...  
Keyword(s):  
Multiple Kernel Learning ◽  
Kernel Learning ◽  
Myocardial Motion ◽  
Motion Patterns ◽  
Multiple Kernel

scholarly journals Heart deformation analysis: measuring regional myocardial velocity with MR imaging

2016 ◽  
Vol 32 (7) ◽  
pp. 1103-1111 ◽  
Author(s):  
Kai Lin ◽  
Jeremy D. Collins ◽  
Varun Chowdhary ◽  
Michael Markl ◽  
James C. Carr
Keyword(s):  
Mr Imaging ◽  
Deformation Analysis ◽  
Myocardial Velocity ◽  
Heart Deformation Analysis

Regional myocardial motion and thickening assessed at rest by ECG-gated99mTc-MIBI emission tomography and by magnetic resonance imaging

1996 ◽  
Vol 23 (8) ◽  
pp. 909-916 ◽  
Author(s):  
Constantinos Anagnostopoulos ◽  
Mark G. Gunning ◽  
Dudley J. Pennell ◽  
Robin Laney ◽  
Haralambos Proukakis ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Emission Tomography ◽  
Resonance Imaging ◽  
Myocardial Motion ◽  
Regional Myocardial Motion

scholarly journals Effect of cold ischemic times and time after transplantation on regional myocardial motion after heart transplantation

2013 ◽  
Vol 15 (S1) ◽  
Author(s):  
Daniela Föll ◽  
Michael Markl ◽  
Marius Menza ◽  
Asad Usman ◽  
Tobias Wengenmayer ◽  
...  
Keyword(s):  
Heart Transplantation ◽  
Myocardial Motion ◽  
Regional Myocardial Motion

Static Analysis of the Left Ventricle

1983 ◽  
Vol 105 (1) ◽  
pp. 39-46 ◽  
Author(s):  
A. To¨zeren
Keyword(s):  
Left Ventricle ◽  
Static Analysis ◽  
Fiber Orientation ◽  
Heart Muscle ◽  
Diastolic Pressure ◽  
Orientation Distribution ◽  
Deformation Analysis ◽  
Inviscid Fluid ◽  
Fiber Orientation Distribution ◽  
Heart Cycle

Static analysis of the left ventricle is developed to estimate the local stresses and deformations that occur during the heart cycle. The left ventricle is represented as a thick hollow tube composed of solid fibers embedded in an inviscid fluid matrix. A finite deformation analysis is developed to estimate the variation of the pressure, fiber tension and fiber extension across the thickness of the left ventricle. Pressure-volume relations are obtained for the diastolic and the systolic peak isovolumetric phases. The fiber stress distribution and pressure variation are estimated as a function of the initial fiber orientation distribution, relative thickness of the ventricle, inner volume of the ventricle and the various tension-extension relations proposed for the fibers of the heart muscle. It is concluded that the diastolic pressure-volume relation is not very sensitive to either the fiber orientation distribution or the thickness of the ventricle. However, the pumping efficiency of the modeled ventricle is shown to increase with increasing thickness of the modeled left ventricle and with increasing contractility of the heart muscle fibers.

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