Deeptag: An unsupervised deep learning method for motion tracking on cardiac tagging magnetic resonance images
Cardiac tagging magnetic resonance imaging (t-MRI) is the gold standard for regional
myocardium deformation and cardiac strain estimation. However, this technique has not …
myocardium deformation and cardiac strain estimation. However, this technique has not …
MulViMotion: Shape-aware 3D myocardial motion tracking from multi-view cardiac MRI
Recovering the 3D motion of the heart from cine cardiac magnetic resonance (CMR)
imaging enables the assessment of regional myocardial function and is important for …
imaging enables the assessment of regional myocardial function and is important for …
Using physiologically based models for clinical translation: predictive modelling, data interpretation or something in‐between?
SA Niederer, NP Smith - The Journal of physiology, 2016 - Wiley Online Library
Heart disease continues to be a significant clinical problem in Western society. Predictive
models and simulations that integrate physiological understanding with patient information …
models and simulations that integrate physiological understanding with patient information …
Improved measurement of brain deformation during mild head acceleration using a novel tagged MRI sequence
AK Knutsen, E Magrath, JE McEntee, F Xing… - Journal of …, 2014 - Elsevier
In vivo measurements of human brain deformation during mild acceleration are needed to
help validate computational models of traumatic brain injury and to understand the factors …
help validate computational models of traumatic brain injury and to understand the factors …
SequenceMorph: A unified unsupervised learning framework for motion tracking on cardiac image sequences
Modern medical imaging techniques, such as ultrasound (US) and cardiac magnetic
resonance (MR) imaging, have enabled the evaluation of myocardial deformation directly …
resonance (MR) imaging, have enabled the evaluation of myocardial deformation directly …
Phase vector incompressible registration algorithm for motion estimation from tagged magnetic resonance images
Tagged magnetic resonance imaging has been used for decades to observe and quantify
motion and strain of deforming tissue. It is challenging to obtain 3-D motion estimates due to …
motion and strain of deforming tissue. It is challenging to obtain 3-D motion estimates due to …
3-D measurements of acceleration-induced brain deformation via harmonic phase analysis and finite-element models
Objective: To obtain dense spatiotemporal measurements of brain deformation from two
distinct but complementary head motion experiments: linear and rotational accelerations …
distinct but complementary head motion experiments: linear and rotational accelerations …
Analysis of tongue muscle strain during speech from multimodal magnetic resonance imaging
Purpose: Muscle groups within the tongue in healthy and diseased populations show
different behaviors during speech. Visualizing and quantifying strain patterns of these …
different behaviors during speech. Visualizing and quantifying strain patterns of these …
Atlas-based tongue muscle correlation analysis from tagged and high-resolution magnetic resonance imaging
Purpose Intrinsic and extrinsic tongue muscles in healthy and diseased populations vary
both in their intra-and intersubject behaviors during speech. Identifying coordination patterns …
both in their intra-and intersubject behaviors during speech. Identifying coordination patterns …
Analysis of 3-D tongue motion from tagged and cine magnetic resonance images
Purpose Measuring tongue deformation and internal muscle motion during speech has
been a challenging task because the tongue deforms in 3 dimensions, contains …
been a challenging task because the tongue deforms in 3 dimensions, contains …