Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking

Hor, Kan N.; Baumann, Rolf; Pedrizzetti, Gianni; Tonti, G.; Gottliebson, William; Taylor, Michael; Benson, D. Woodrow; Mazur, Wojciech

doi:10.3791/2356-v

Cited by 19 publications

(25 citation statements)

References 1 publication

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“…Myocardial feature tracking was performed based on standard CMR image data (Image-Arena VA Version 3.0 and 2D Cardiac Performance Analysis MR Version 1.1.0; TomTec Imaging Systems, Unterschleissheim, Germany), which has been recently introduced [11,12]. The software does not require specific CMR acquisition such as tagged imaging or HARP analysis.…”

Section: Magnetic Resonance Imagingmentioning

confidence: 99%

“…Measuring myocardial strain by magnetic resonance imaging has required tagged imaging or harmonic phase (HARP) analysis, but the need for additional imaging sequences and the inherent complexity has limited the uptake of these techniques. Recently CMR based feature tracking analysis has become available, providing multi-planar strain data without the need for tagged images [10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

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Cardiac magnetic resonance feature tracking– a novel method to assess myocardial strain: Comparison with echocardiographic speckle tracking in healthy volunteers and in patients with left ventricular hypertrophy

Orwat

Kempny²,

Diller³

et al. 2014

Kardiol Pol

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Section: Magnetic Resonance Imagingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Cardiac magnetic resonance feature tracking– a novel method to assess myocardial strain: Comparison with echocardiographic speckle tracking in healthy volunteers and in patients with left ventricular hypertrophy

Orwat

Kempny²,

Diller³

et al. 2014

Kardiol Pol

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show abstract

“…FT requires that in-plane spatial resolution is sufficient for the displacements of interest to be measured within the ability of the software to measure subpixel displacement. 17 Low temporal resolution can lead to transient spikes in motion being missed, potentially obscuring clinically significant motion. 2 It also causes interframe displacements to be large thus impairing FT, and image decorrelation (the reduction of the similarity of image features from frame to frame) that further impairs FT. 2 Conversely, high temporal resolution may not benefit, and may even impair, FT if not accompanied by increased in-plane spatial resolution, as frame-to-frame displacement is reduced relative to pixel size.…”

Section: Introductionmentioning

confidence: 99%

“… 2 It also causes interframe displacements to be large thus impairing FT, and image decorrelation (the reduction of the similarity of image features from frame to frame) that further impairs FT. 2 Conversely, high temporal resolution may not benefit, and may even impair, FT if not accompanied by increased in-plane spatial resolution, as frame-to-frame displacement is reduced relative to pixel size. 17 …”

Section: Introductionmentioning

confidence: 99%

Effects of spatial and temporal resolution on cardiovascular magnetic resonance feature tracking measurements using a simple realistic numerical phantom

Adams

Boubertakh

Miquel

2023

BJR

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Objectives To develop a single-slice numerical phantom with known myocardial motion, at several temporal and in-plane spatial resolutions, for testing and comparison of Cardiovascular Magnetic Resonance (CMR) feature tracking (FT) software. Methods The phantom was developed based on CMR acquisitions of one volunteer (acquired cine, tagging cine, T1 map, T2 map, proton density weighted image). The numerical MRI simulator JEMRIS was used, and the phantom was generated at several in-plane spatial resolutions (1.4 × 1.4 mm2 to 3.0 × 3.0 mm2) and temporal resolutions (20 to 40 cardiac phases). Two feature tracking software packages were tested: Medical Image Tracking Toolbox (MITT) and two versions of cvi42 (v5.3.8 and v5.13.7). The effect of resolution on strain results was investigated with reference to ground-truth radial and circumferential strain. Results Peak radial strain was consistently under measured more for cvi42 v5.13.7 than for v5.3.8. Increased pixel size produced a trend of increased difference from ground-truth peak strain, with the largest changes for cvi42 obtained using v5.13.7 between 1.4 × 1.4 mm2 and 3.0 × 3.0 mm2, at 9.17 percentage points (radial) and 8.42 percentage points (circumferential). Conclusions The results corroborate the presence of inter vendor differences in feature tracking results and show the magnitude of strain differences between software versions. Advances in knowledge This study shows how temporal and in-plane spatial resolution can affect feature tracking with reference to the ground-truth strain of a numerical phantom. Results reaffirm the need for numerical phantom development for the validation and testing of FT software.

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“…Software developments now permit measurement of cardiac MRI‐derived LV strain from routinely acquired balanced steady‐state free precession (bSSFP) cine images. This has the potential to shorten scan times and streamline analyses compared to previously used methods, such as myocardial tissue tagging and phase velocity mapping 9 . Strain derived from bSSFP methods has good agreement with speckle tracking echocardiography, 10,11 but agreement with cardiac MRI tagging methods has varied between studies, with radial strain showing the poorest agreement 12–16 .…”

Section: Introductionmentioning

confidence: 99%

The Interfield Strength Agreement of Left Ventricular Strain Measurements at 1.5 T and 3 T Using Cardiac MRI Feature Tracking

Ayton

Alfuhied

Gulsin

et al. 2022

Magnetic Resonance Imaging

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Background: Left ventricular (LV) strain measurements can be derived using cardiac MRI from routinely acquired balanced steady-state free precession (bSSFP) cine images. Purpose: To compare the interfield strength agreement of global systolic strain, peak strain rates and artificial intelligence (AI) landmark-based global longitudinal shortening at 1.5 T and 3 T. Study Type: Prospective. Subjects: A total of 22 healthy individuals (mean age 36 AE 12 years; 45% male) completed two cardiac MRI scans at 1.5 T and 3 T in a randomized order within 30 minutes. Field Strength/Sequence: bSSFP cine images at 1.5 T and 3 T. Assessment: Two software packages, Tissue Tracking (cvi42, Circle Cardiovascular Imaging) and QStrain (Medis Suite, Medis Medical Imaging Systems), were used to derive LV global systolic strain in the longitudinal, circumferential and radial directions and peak (systolic, early diastolic, and late diastolic) strain rates. Global longitudinal shortening and mitral annular plane systolic excursion (MAPSE) were measured using an AI deep neural network model. Statistical Tests: Comparisons between field strengths were performed using Wilcoxon signed-rank test (P value < 0.05 considered statistically significant). Agreement was determined using intraclass correlation coefficients (ICCs) and Bland-Altman plots. Results: Minimal bias was seen in all strain and strain rate measurements between field strengths. Using Tissue Tracking, strain and strain rate values derived from long-axis images showed poor to fair agreement (ICC range 0.39-0.71), whereas global longitudinal shortening and MAPSE showed good agreement (ICC = 0.81 and 0.80, respectively). Measures derived from short-axis images showed good to excellent agreement (ICC range 0.78-0.91). Similar results for the agreement of strain and strain rate measurements were observed with QStrain. Conclusion:The interfield strength agreement of short-axis derived LV strain and strain rate measurements at 1.5 T and 3 T was better than those derived from long-axis images; however, the agreement of global longitudinal shortening and MAPSE was good.

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Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking

Cited by 19 publications

References 1 publication

Cardiac magnetic resonance feature tracking– a novel method to assess myocardial strain: Comparison with echocardiographic speckle tracking in healthy volunteers and in patients with left ventricular hypertrophy

Cardiac magnetic resonance feature tracking– a novel method to assess myocardial strain: Comparison with echocardiographic speckle tracking in healthy volunteers and in patients with left ventricular hypertrophy

Effects of spatial and temporal resolution on cardiovascular magnetic resonance feature tracking measurements using a simple realistic numerical phantom

The Interfield Strength Agreement of Left Ventricular Strain Measurements at 1.5 T and 3 T Using Cardiac MRI Feature Tracking

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