Related Experiment Video
Updated: Jan 20, 2026

Diffusion Tensor Magnetic Resonance Imaging in Chronic Spinal Cord Compression
Published on: May 7, 2019
Characterizing cardiac involvement in amyloidosis using cardiovascular magnetic resonance diffusion tensor imaging
Alexander Gotschy1,2, Constantin von Deuster1, Robbert J H van Gorkum1
1Institute for Biomedical Engineering, University and ETH Zurich, Gloriastrasse 35, Zurich, 8092, Switzerland.
Cardiovascular magnetic resonance diffusion tensor imaging (CMR-DTI) reveals significant microstructural changes in cardiac amyloidosis (CA). These findings, including altered myofiber orientation, correlate with disease severity and offer insights into functional deficits.
Area of Science:
- Cardiovascular Imaging
- Cardiac Electrophysiology
- Biomedical Engineering
Background:
- Cardiac amyloidosis (CA) involves myocardial infiltration by misfolded proteins, leading to unknown microstructural consequences.
- In-vivo cardiovascular magnetic resonance (CMR) diffusion tensor imaging (DTI) is a technique to visualize cardiac fiber architecture in diseased hearts.
- Understanding CA's impact on myocardial microstructure is crucial for assessing functional consequences.
Purpose of the Study:
- To apply CMR DTI in patients with CA to assess microstructural alterations.
- To compare these microstructural alterations with those in healthy controls.
- To investigate the consequences of these microstructural changes on myocardial function.
Main Methods:
- Ten CA patients (8 AL, 2 ATTR) and ten healthy controls underwent CMR using a diffusion-weighted spin-echo sequence at 1.5T.
- Standard CMR sequences assessed left ventricular morphology, ejection fraction, strain, and native T1 values.
- CMR DTI analysis yielded scalar diffusion metrics (mean diffusivity [MD], fractional anisotropy [FA]) and myofiber orientation characteristics (helix angle [HA], transverse angle [TA], E2A sheet angle).
Main Results:
- Significant differences in MD and FA were observed between CA patients and controls (p < 0.001).
- Elevated MD correlated with native T1 values (r=0.908, p < 0.001), and reduced FA correlated with extracellular volume fraction (ECV) (r=-0.851, p < 0.002) in CA patients.
- CA patients exhibited altered myofiber orientation (circumferential HA, increased TA standard deviation, higher absolute E2A) and a strong correlation between transmural HA slope and global longitudinal strain (r=0.921, p < 0.001).
Conclusions:
- CMR DTI effectively detects significant microstructural alterations in CA, characterized by increased MD and decreased FA, correlating with T1 and ECV measures.
- The observed pronounced circumferential myofiber orientation in CA patients provides a potential explanation for reduced global longitudinal strain.
- CMR DTI offers valuable insights into the specific microstructural changes induced by amyloid infiltration in CA, enhancing understanding of disease pathophysiology.
More Related Videos
Related Concept Videos
07:00Diffusion Tensor Magnetic Resonance Imaging in Chronic Spinal Cord Compression
15:48Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
09:33Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
Cardiac Magnetic Resonance Imaging
In this video, high field, small-bore magnetic resonance imaging (MRI) with physiological monitoring is demonstrated to acquire gated cine loops of the murine cardiovascular system. This procedure provides a basis for assessing left-ventricular function, visualizing vascular networks, and quantifying motion of organs due to respiration. Comparable small animal...
09:14Cardiac Magnetic Resonance Imaging at 7 Tesla
Using Diffusion Tensor Imaging in Traumatic Brain Injury
Traditional brain imaging techniques using MRI are very good at visualizing the gross structures of the brain. A structural brain image made with MRI provides high contrast of the borders between gray and white matter, and information about the size and shape of brain structures. However, these images do not detail the underlying structure and integrity of white matter networks in the brain, which...

