Histological validation of myocardial microstructure obtained from diffusion tensor magnetic resonance imaging

Scollan, D. F.; Holmes, Alex; Winslow, Raimond L.; Forder, John R.

doi:10.1152/ajpheart.1998.275.6.h2308

Cited by 360 publications

(459 citation statements)

References 35 publications

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“…Recent studies have demonstrated a direct correlation in fiber orientation (pennation) measured by DTI with direct anatomical inspection of rat lateral gastrocnemius (19), perfused rabbit muscle (22), and formaldehyde-fixed myocardium (23). To date, the clinical application of fiber tracking has been focused primarily on the study of brain white matter.…”

Section: Discussionmentioning

confidence: 99%

Diffusion tensor imaging in evaluation of human skeletal muscle injury

Zaraiskaya

Kumbhare

Noseworthy

2006

Magnetic Resonance Imaging

194

201

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Purpose: To explore the capability and reliability of diffusion tensor magnetic resonance imaging (DTI) in the evaluation of human skeletal muscle injury. Materials and Methods:DTI of four patients with gastrocnemius and soleus muscles injuries was compared to eight healthy controls. Imaging was performed using a GE 3.0T short-bore scanner. A diffusion-weighted 2D spin echo echo-planar imaging (EPI) pulse sequence optimized for skeletal muscle was used. From a series of axially acquired diffusion tensor images the diffusion tensor eigenparameters (eigenvalues and eigenvectors), fractional anisotropy (FA), and apparent diffusion coefficient (ADC) were calculated and compared for injured and healthy calf muscles. Two dimensional (2D) projection maps of the principal eigenvectors were plotted to visualize the healthy and pathologic muscle fiber architectures.Results: Clear differences in FA and ADC were observed in injured skeletal muscle, compared to healthy controls. Mean control FA was 0.23 Ϯ 0.02 for medial and lateral gastrocnemius (mg and lg) muscles, and 0.20 Ϯ 0.02 for soleus (sol) muscles. In all patients FA values were reduced compared to controls, to as low as 0.08 Ϯ 0.02. The ADC in controls ranged from 1.41 to 1.31 ϫ 10 -9 m 2 /second, while in patients this was consistently higher. The 2D projection maps revealed muscle fiber disorder in injured calves, while in healthy controls the 2D projection maps show a well organized (ordered) fiber structure. Conclusion:DTI is a suitable method to assess human calf muscle injury.

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Section: Discussionmentioning

confidence: 99%

Diffusion tensor imaging in evaluation of human skeletal muscle injury

Zaraiskaya

Kumbhare

Noseworthy

2006

Magnetic Resonance Imaging

194

201

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“…DTI has been successfully applied to the analysis and depiction of neuronal fibers in the living human brain (Mori and van Zijl, 2002). Furthermore, qualitative agreement between main diffusion directions and the fiber orientation in myocardium (Garrido et al, 1994;Reese et al, 1995;Scollan et al, 1998;Schmid et al, 2005) and skeletal muscle (Van Donkelaar et al, 1999;Napadow et al, 2001;Damon et al, 2002;Mori and van Zijl, 2002;Heemskerk et al, 2005) was observed.…”

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confidence: 88%

Three‐dimensional fiber architecture of the nonpregnant human uterus determined ex vivo using magnetic resonance diffusion tensor imaging

et al. 2005

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The global muscle and collagen fiber orientation in the human uterus has been analyzed hitherto by various standard microscopic techniques. However, no widely accepted model of the fiber architecture of the myometrium could be acquired. The purpose of the present study was to investigate the uterus by magnetic resonance (MR) diffusion tensor imaging (DTI) in a 3D macroscopic approach. Ex vivo MR DTI measurements were performed on five uteri from nonpregnant patients. The main diffusion directions reflecting the orientation of directional structures in the examined tissues were determined from diffusion-weighted spin-echo measurements. A fiber tracking algorithm was used to extrapolate the fiber architecture. The method was validated against histological slides and indirectly through the analysis of leiomyomas, which exhibit less anisotropy than normal myometrium. Significant anisotropy was found in most regions of all examined nonpregnant human uteri. But only two systems of fibers were found running circularly along the intramural part of the uterine tubes. They merged caudally and built a close fitting envelope of circular layers around the uterine cavity. On the cervix, circular fibers were observed in the outer part as well as mostly longitudinal fibers in the inner part. These results confirm the existence of directional structures in the complex fiber architecture of the human uterus. They also indicate that MR DTI is a beneficial and complementary tool to standard microscopic techniques to determine the intrinsic fiber architecture in human organs.

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“…MRI measurements of the diffusion profile of protons (Brownian motion of water) in tissue are fitted by an ellipsoid [40] with three orthogonal axes. The primary axis (the orientation of the largest eigenvector) has been validated as an unbiased estimate of the local (averaged within the voxel) myocyte orientation [41,42]. The orientation of the tertiary (smallest eigenvector) axis has been proposed as a measure of the orientation of the sheet normal, but the existence of sheets is contested [43] and this is less well validated against histology [42].…”

Section: Diffusion Tensor Magnetic Resonance Imagingmentioning

confidence: 99%

Construction and validation of anisotropic and orthotropic ventricular geometries for quantitative predictive cardiac electrophysiology

et al. 2010

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Reaction -diffusion computational models of cardiac electrophysiology require both dynamic excitation models that reconstruct the action potentials of myocytes as well as datasets of cardiac geometry and architecture that provide the electrical diffusion tensor D, which determines how excitation spreads through the tissue. We illustrate an experimental pipeline we have developed in our laboratories for constructing and validating such datasets. The tensor D changes with location in the myocardium, and is determined by tissue architecture. Diffusion tensor magnetic resonance imaging (DT-MRI) provides three eigenvectors e i and eigenvalues l i at each voxel throughout the tissue that can be used to reconstruct this architecture. The primary eigenvector e 1 is a histologically validated measure of myocyte orientation (responsible for anisotropic propagation). The secondary and tertiary eigenvectors (e 2 and e 3 ) specify the directions of any orthotropic structure if l 2 is significantly greater than l 3 -this orthotropy has been identified with sheets or cleavage planes. For simulations, the components of D are scaled in the fibre and cross-fibre directions for anisotropic simulations (or fibre, sheet and sheet normal directions for orthotropic tissues) so that simulated conduction velocities match values from optical imaging or plunge electrode experiments. The simulated pattern of propagation of action potentials in the models is partially validated by optical recordings of spatio-temporal activity on the surfaces of hearts. We also describe several techniques that enhance components of the pipeline, or that allow the pipeline to be applied to different areas of research: Q ball imaging provides evidence for multi-modal orientation distributions within a fraction of voxels, infarcts can be identified by changes in the anisotropic structure-irregularity in myocyte orientation and a decrease in fractional anisotropy, clinical imaging provides human ventricular geometry and can identify ischaemic and infarcted regions, and simulations in human geometries examine the roles of anisotropic and orthotropic architecture in the initiation of arrhythmias.

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Histological validation of myocardial microstructure obtained from diffusion tensor magnetic resonance imaging

Cited by 360 publications

References 35 publications

Diffusion tensor imaging in evaluation of human skeletal muscle injury

Diffusion tensor imaging in evaluation of human skeletal muscle injury

Three‐dimensional fiber architecture of the nonpregnant human uterus determined ex vivo using magnetic resonance diffusion tensor imaging

Construction and validation of anisotropic and orthotropic ventricular geometries for quantitative predictive cardiac electrophysiology

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