scholarly journals Studying Dynamic Myofiber Aggregate Reorientation in Dilated Cardiomyopathy Using In Vivo Magnetic Resonance Diffusion Tensor Imaging

2016 ◽  
Vol 9 (10) ◽  
Author(s):  
Constantin von Deuster ◽  
Eva Sammut ◽  
Liya Asner ◽  
David Nordsletten ◽  
Pablo Lamata ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
Magnetic Resonance ◽  
Dilated Cardiomyopathy ◽  
Diffusion Tensor

scholarly journals MR Parameter Map Suite: ITK Classes for Calculating Magnetic Resonance T2 and T1 Parameter Maps

2008 ◽  
Author(s):  
Don Bigler ◽  
Mark Meadowcroft ◽  
Xiaoyan Sun ◽  
Jeffrey Vesek ◽  
Alex Dresner ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
Magnetic Resonance ◽  
Diffusion Tensor ◽  
Non Invasive ◽  
Mr Diffusion ◽  
Mr Diffusion Tensor Imaging ◽  
Diffusion Tensor Imaging Dti

This document describes a suite of new multi-threaded classes for calculating magnetic resonance (MR) T2 and T1 parameter maps implemented using the Insight Toolkit ITK (www.itk.org). Similar to MR diffusion tensor imaging (DTI), MR T2 and T1 parameter maps provide a non-invasive means for quantitatively measuring disease or pathology in-vivo. Included in the suite are classes for reading proprietary Bruker 2dseq and Philips PAR/REC images and example programs and data for validating the new classes.

Determining Subject-Specific Lower-Limb Muscle Architecture Data for Musculoskeletal Models Using Diffusion Tensor Imaging

2019 ◽  
Vol 141 (6) ◽  
Author(s):  
James P. Charles ◽  
Chan-Hong Moon ◽  
William J. Anderst
Keyword(s):  
Diffusion Tensor Imaging ◽  
Magnetic Resonance ◽  
Diffusion Tensor ◽  
Imaging Techniques ◽  
Muscle Architecture ◽  
Lower Limbs ◽  
Cross Sectional ◽  
Musculoskeletal Models ◽  
Subject Specific

Accurate individualized muscle architecture data are crucial for generating subject-specific musculoskeletal models to investigate movement and dynamic muscle function. Diffusion tensor imaging (DTI) magnetic resonance (MR) imaging has emerged as a promising method of gathering muscle architecture data in vivo; however, its accuracy in estimating parameters such as muscle fiber lengths for creating subject-specific musculoskeletal models has not been tested. Here, we provide a validation of the method of using anatomical magnetic resonance imaging (MRI) and DTI to gather muscle architecture data in vivo by directly comparing those data obtained from MR scans of three human cadaveric lower limbs to those from dissections. DTI was used to measure fiber lengths and pennation angles, while the anatomical images were used to estimate muscle mass, which were used to calculate physiological cross-sectional area (PCSA). The same data were then obtained through dissections, where it was found that on average muscle masses and fiber lengths matched well between the two methods (4% and 1% differences, respectively), while PCSA values had slightly larger differences (6%). Overall, these results suggest that DTI is a promising technique to gather in vivo muscle architecture data, but further refinement and complementary imaging techniques may be needed to realize these goals.

Magnetic resonance diffusion tensor imaging of cervical microstructure in normal early and late pregnancy in vivo

2021 ◽  
Vol 224 (1) ◽  
pp. 101.e1-101.e11
Author(s):  
Wenxu Qi ◽  
Peinan Zhao ◽  
Zhexian Sun ◽  
Xiao Ma ◽  
Hui Wang ◽  
...  
Keyword(s):  
Diffusion Tensor Imaging ◽  
Magnetic Resonance ◽  
Diffusion Tensor ◽  
Late Pregnancy
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