Optimisation of Left Atrial Feature Tracking Using Retrospective Gated Computed Tomography Images

Sillett, Charles; Razeghi, Orod; Strocchi, Marina; Roney, Caroline; O’Brien, H.A.; Ennis, Daniel B.; Haberland, Ulrike; Rajani, Ronak; Rinaldi, Christopher A.; Niederer, Steven

doi:10.1007/978-3-030-78710-3_8

Cited by 2 publications

(3 citation statements)

References 15 publications

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“…The ED-ES pair was chosen since it involves maximal LA expansion during the atrial reservoir phase and therefore is likely to yield the largest errors in LA feature tracking accuracy. Feature tracking accuracy was assessed using the average surface distance (ASD), directed Hausdorff distance (DHD), and Dice score coefficient (DSC) between tracked and ground truth surface meshes and segmentations as previously described in ( 32 ). Equal weighting was used to combine the ASD, DHD, and DSC errors for identifying the optimal (SW, BE) combination, and five-fold cross-validation was used to ensure that hyperparameter optimisation was not specific to the cases used to quantify feature tracking accuracy.…”

Section: Methodsmentioning

confidence: 99%

A three-dimensional left atrial motion estimation from retrospective gated computed tomography: application in heart failure patients with atrial fibrillation

Sillett,

Razeghi,

Lee

et al. 2024

Front. Cardiovasc. Med.

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BackgroundA reduced left atrial (LA) strain correlates with the presence of atrial fibrillation (AF). Conventional atrial strain analysis uses two-dimensional (2D) imaging, which is, however, limited by atrial foreshortening and an underestimation of through-plane motion. Retrospective gated computed tomography (RGCT) produces high-fidelity three-dimensional (3D) images of the cardiac anatomy throughout the cardiac cycle that can be used for estimating 3D mechanics. Its feasibility for LA strain measurement, however, is understudied.AimThe aim of this study is to develop and apply a novel workflow to estimate 3D LA motion and calculate the strain from RGCT imaging. The utility of global and regional strains to separate heart failure in patients with reduced ejection fraction (HFrEF) with and without AF is investigated.MethodsA cohort of 30 HFrEF patients with (n = 9) and without (n = 21) AF underwent RGCT prior to cardiac resynchronisation therapy. The temporal sparse free form deformation image registration method was optimised for LA feature tracking in RGCT images and used to estimate 3D LA endocardial motion. The area and fibre reservoir strains were calculated over the LA body. Universal atrial coordinates and a human atrial fibre atlas enabled the regional strain calculation and the fibre strain calculation along the local myofibre orientation, respectively.ResultsIt was found that global reservoir strains were significantly reduced in the HFrEF + AF group patients compared with the HFrEF-only group patients (area strain: 11.2 ± 4.8% vs. 25.3 ± 12.6%, P = 0.001; fibre strain: 4.5 ± 2.0% vs. 15.2 ± 8.8%, P = 0.001), with HFrEF + AF patients having a greater regional reservoir strain dyssynchrony. All regional reservoir strains were reduced in the HFrEF + AF patient group, in whom the inferior wall strains exhibited the most significant differences. The global reservoir fibre strain and LA volume + posterior wall reservoir fibre strain exceeded LA volume alone and 2D global longitudinal strain (GLS) for AF classification (area-under-the-curve: global reservoir fibre strain: 0.94 ± 0.02, LA volume + posterior wall reservoir fibre strain: 0.95 ± 0.02, LA volume: 0.89 ± 0.03, 2D GLS: 0.90 ± 0.03).ConclusionRGCT enables 3D LA motion estimation and strain calculation that outperforms 2D strain metrics and LA enlargement for AF classification. Differences in regional LA strain could reflect regional myocardial properties such as atrial fibrosis burden.

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Section: Methodsmentioning

confidence: 99%

A three-dimensional left atrial motion estimation from retrospective gated computed tomography: application in heart failure patients with atrial fibrillation

Sillett,

Razeghi,

Lee

et al. 2024

Front. Cardiovasc. Med.

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“…A sphere was used for cropping the LA at the mitral valve and separated left atrial myocardium and blood pool from any other labelled structures. The pulmonary veins and LA appendage were cropped from the segmentation so that the segmentation covered the LA body only, allowing for optimum feature tracking [4]. The mitral valve, cropped pulmonary veins and appendage were then labelled.…”

Section: Segmentation and Mesh Generationmentioning

confidence: 99%

“…Feature tracking using temporal sparse free-form deformation (TSFFD) registration method with retrospective gated CT [9] has been used to perform feature tracking in the LV. More recently, this method has also been optimized for use in the left atrium [4]. Using this optimized method, reference meshes at end-diastole were deformed to simulate LA motion over the cardiac cycle.…”

Section: Motion Tracking and Strain Calculationmentioning

confidence: 99%

The Influence of Left Atrial Wall Thickness and Curvature on Wall Strain in Patient-Specific Atrium Models

Baptiste¹,

Lee²,

Strocchi³

et al. 2022

Computing in Cardiology Conference (CinC)

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Fibrosis is thought to be a major contributor to atrial fibrillation. Strain is a potential signal for fibrosis in the left atrium (LA). Local strain can be impacted by local anatomy. This study investigated correlation of local strain magnitude with local anatomy described by curvature and wall thickness.We created 3D motion models of the LA from retrospective gated computed tomography images from 8 patients. We calculated wall thickness and endocardial curvature across the LA at end-diastole (ED) then calculated LA endocardial area strain throughout the cardiac cycle, using the ED frame as the reference.The average Pearson's correlation of end-systolic strain with inverse wall thickness and curvature was -0.076±0.095 and 0.017±0.081 respectively. The correlations between inverse wall thickness, curvature and the first four principal components of strain showed no greater dependence of strain on wall thickness or curvature. The LA was divided into 18 regions and correlation was calculated regionally. Regionally, the range of correlation of strain at ES with thickness and curvature was (-0.58-0.43) and (-0.49-0.47) respectively.Neither wall thickness nor curvature appear to strongly influence strain. This is consistent with either boundary forces acting on the atria or variations in regional stiffness impacting regional differences in strain.

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Optimisation of Left Atrial Feature Tracking Using Retrospective Gated Computed Tomography Images

Cited by 2 publications

References 15 publications

A three-dimensional left atrial motion estimation from retrospective gated computed tomography: application in heart failure patients with atrial fibrillation

A three-dimensional left atrial motion estimation from retrospective gated computed tomography: application in heart failure patients with atrial fibrillation

The Influence of Left Atrial Wall Thickness and Curvature on Wall Strain in Patient-Specific Atrium Models

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