Related Experiment Video
Updated: Feb 11, 2026

Adipo-Clear: A Tissue Clearing Method for Three-Dimensional Imaging of Adipose Tissue
Published on: July 28, 2018
Three-dimensional Cardiomyocytes Structure Revealed By Diffusion Tensor Imaging and Its Validation Using a
Sang-Eun Lee1,2,3, Christopher Nguyen3,4,5, Jongjin Yoon6
1Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Yonsei University Health System, Seoul, 03722, South Korea.
Insights
Diffusion tensor imaging (DTI) accurately maps cardiomyocyte orientation in the heart, validated by 3D histology. This technique shows reduced helix angle transmurality in heart failure, offering a promising noninvasive tool for cardiovascular disease research.
Area of Science:
- Biomedical Imaging
- Cardiovascular Research
- Histology
Background:
- Cardiovascular diseases alter myocardial microstructure.
- Accurate characterization of cardiomyocyte architecture is crucial for understanding heart function and disease.
- Existing methods for assessing cardiomyocyte orientation can be invasive or lack 3D resolution.
Purpose of the Study:
- To characterize the microstructural response of the myocardium to cardiovascular disease using diffusion tensor imaging (DTI).
- To validate DTI findings with intact, three-dimensional (3D) histology using a tissue-clearing technique.
- To assess the accuracy of DTI in quantifying cardiomyocyte orientation and transmurality.
Main Methods:
- Diffusion tensor imaging (DTI) was performed on fixed ex-vivo mouse hearts (normal and ischemic heart failure models).
- Hearts were processed using a tissue-clearing technique for intact 3D histological analysis.
- Cardiomyocyte orientation, helix angle (HA), and global HA transmurality (HAT) were quantified and compared between DTI and 3D histology.
Main Results:
- DTI successfully mapped cardiomyocyte orientation and was validated by 3D histology.
- Global HAT was significantly reduced in the ischemic heart failure group compared to controls (p < 0.001).
- Strong correlations were observed between DTI and 3D histology for cardiomyocyte orientation assessment (R²=0.803 per-sample, R²=0.872 per-segment).
Conclusions:
- DTI is a capable and accurate tool for mapping cardiomyocyte orientation in the myocardium.
- The study demonstrates the potential of DTI for noninvasive characterization of cardiac microstructure in disease states.
- This approach provides valuable insights into the architectural changes associated with cardiovascular disease.
Abstract:
We characterized the microstructural response of the myocardium to cardiovascular disease using diffusion tensor imaging (DTI) and performed histological validation by intact, un-sectioned, three-dimensional (3D) histology using a tissue-clearing technique. The approach was validated in normal (n = 7) and ischemic (n = 8) heart failure model mice. Whole heart fiber tracking using DTI in fixed ex-vivo mouse hearts was performed, and the hearts were processed with the tissue-clearing technique. Cardiomyocytes orientation was quantified on both DTI and 3D histology. Helix angle (HA) and global HA transmurality (HAT) were calculated, and the DTI findings were confirmed with 3D histology. Global HAT was significantly reduced in the ischemic group (DTI: 0.79 ± 0.13°/% transmural depth [TD] and 3D histology: 0.84 ± 0.26°/%TD) compared with controls (DTI: 1.31 ± 0.20°/%TD and 3D histology: 1.36 ± 0.27°/%TD, all p < 0.001). On direct comparison of DTI with 3D histology for the quantitative assessment of cardiomyocytes orientation, significant correlations were observed in both per-sample (R2 = 0.803) and per-segment analyses (R2 = 0.872). We demonstrated the capability and accuracy of DTI for mapping cardiomyocytes orientation by comparison with the intact 3D histology acquired by tissue-clearing technique. DTI is a promising tool for the noninvasive characterization of cardiomyocytes architecture.
More Related Videos
Related Concept Videos
Inertia Tensor
The diagonal components of the inertia tensor matrix represent the moments of inertia concerning the principal axes of the object. These primary axes are defined as the axes where the object experiences the least...
Diffusion
Diffusion
Reliability and Validity
Structures of Solids
Data Validation
Key parameters for method validation include:

