Left Atrium Wall-mapping Application for Wall Thickness Visualisation

Jing-Yi Sun, Chun-Ho Yun, Greta S P Mok, Yi-Hwa Liu, Chung-Lieh Hung, Tung-Hsin Wu, Mohamad Amer Alaiti, Brendan L Eck, Anas Fares, Hiram G Bezerra, Jing-Yi Sun, Chun-Ho Yun, Greta S P Mok, Yi-Hwa Liu, Chung-Lieh Hung, Tung-Hsin Wu, Mohamad Amer Alaiti, Brendan L Eck, Anas Fares, Hiram G Bezerra

Abstract

The measurement method for the LA wall thickness (WT) using cardiac computed tomography (CT) is observer dependent and cannot provide a rapid and comprehensive visualisation of the global LA WT. We aim to develop a LA wall-mapping application to display the global LA WT on a coplanar plane. The accuracy, intra-observer, and inter-observer reproducibility of the application were validated using digital/physical phantoms, and CT images of eight patients. This application on CT-based LA WT measures were further validated by testing six pig cardiac specimens. To evaluate its accuracy, the expanded maps of the physical phantom and pig LA were generated from the CT images and compared with the expanded map of the digital phantom and LA wall of pig heart. No significant differences (p > 0.05) were found between physical phantom and digital phantom as well as pig heart specimen and CT images using our application. Moreover, the analysis was based on the LA physical phantom or images of clinical patients; the results consistently demonstrated high intra-observer reproducibility (ICC > 0.9) and inter-observer reproducibility (ICC > 0.8) and showed good correlation between measures of pig heart specimen and CT data (r = 0.96, p < 0.001). The application can process and analyse the LA architecture for further visualisation and quantification.

Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
Sectional views of the LA digital phantoms with (A) a homogeneous wall thickness of 1.0 mm from the roof to the base, (B) a homogeneous wall thickness of 2.0 mm, (C) an inhomogeneous gradient wall thickness with a wall thickness of 0.5 mm at the roof and a gradual increase to 1.6 mm at the base. (D) Sectional view of the physical acryl phantom corresponding to LA digital phantom (A). (E) LA physical phantom fixed in a cylindrical water phantom with a 10-cm diameter. (F) Cylindrical water phantom placed in the QRM cardio phantom. H: height; CCL: central circumference length; BCL: basal circumference length; LSPV: left superior pulmonary vein; LIPV: left inferior pulmonary vein; RSPV: right superior pulmonary vein; RIPV: right inferior pulmonary vein.
Figure 2
Figure 2
The study design flowchart.
Figure 3
Figure 3
Schematic diagram of the image-space transformation. (A) The 3D image-space. White voxels belong to the LA wall, grey voxels belong to the background, and the blue voxel is the initial tracking point for the location of the LA wall thickness in the 3D image space. The red rectangleis the weighting matrix controlling the moving direction of the tracking point. (B) The 2D mapping space. The red arrow indicates the moving direction of mapping the LA wall thickness data onto the 2D mapping space in a certain slice.
Figure 4
Figure 4
Procedures for processing and analysing the LA physical phantom using the LA wall-mapping application. (A) LA delineation; (B) inner-boundary segmentation; (C) outer-boundary segmentation; (D) wall thickness calculation; and (E) 2D wall map generation (four holes on the map are the pulmonary vein ostium). The colour bar shows the wall thickness.
Figure 5
Figure 5
Comparison of the LAgold standard (first column) with the LAmeasurement (second column). The third column shows the corresponding wall-map profile. The blue dashed line is for LAgold standard andthe red solid line for LAmeasurement. The last column showsthe difference map between the LAgold standard and LAmeasurement. The results for the 1 mm, 2 mm, and gradient wall thicknessare shown in the top, middle, and bottom row, respectively. The colour bar shows thewall thickness.
Figure 6
Figure 6
Partial volume effect on the LA wall. The horizontal bar indicates a CT slice, and the blue voxelsshow the LA wall thickness is overestimated, especially in the roof region.
Figure 7
Figure 7
Comparison of (A) the pig heart specimen and (B) the fusion image with (C) the LA wall map. The LA wall thickness between specimen and CT image was (a) 0.31 mm vs. 0.51 mm, (b) 2.88 mm vs 2.76 mm, (c) 1.51 mm vs 1.53 mm, and (d) 3.13 mm vs 3.21 mm.
Figure 8
Figure 8
The correlation of LA wall thickness between the pig heart specimen and cardiac CT image.
Figure 9
Figure 9
Procedures for processing and analysing a set of clinical CT images using the LA wall-mapping application. (A) LA delineation; (B) inner-boundary segmentation; (C) outer-boundary segmentation; (D) wall thickness calculation; and (E) 2D wall map generation. The colour bar shows the wall thickness. 1: right superior pulmonary vein (RSPV); 2 right inferior pulmonary vein (RIPV); 3 left superior pulmonary vein (LSPV); and 4: left inferior pulmonary vein (LIPV). The red dashed line indicates the annulus of mitral valve (MV).
Figure 10
Figure 10
Sampleclinical results. The columns (A) and (B) show the results of the two patients without AF, and the columns (C) and (D) show the results of the two AF patients.The axial CT images, the LA surface-rendered model, and the wall map results are shown in the top, middle, and bottom row, respectively. The LA wall is marked in blue, and the black solid line represents the intersectionbetween the LA and PV. Labels 1-4 indicatethe ostium of pulmonary veins.The colour bar shows the wall thickness.
Figure 11
Figure 11
A specific position on the (A) LA wall map can be simultaneously localised on the corresponding cardiac CT images in (B) a 4-chamber view, (C) a 2-chamber view, and (D) a short-axis view. RIPV: right inferior pulmonary vein.

References

    1. Cabrera JA, Ho SY, Climent V, Sanchez-Quintana D. The architecture of the left lateral atrial wall: a particular anatomic region with implications for ablation of atrial fibrillation. European heart journal. 2008;29:356–362. doi: 10.1093/eurheartj/ehm606.
    1. Nakahara S, et al. Impact of left atrial appendage ridge ablation on the complex fractionated electrograms in persistent atrial fibrillation. Journal of interventional cardiac electrophysiology: an international journal of arrhythmias and pacing. 2014;41:55–64. doi: 10.1007/s10840-014-9902-2.
    1. Hunter RJ, Liu Y, Lu Y, Wang W, Schilling RJ. Left atrial wall stress distribution and its relationship to electrophysiologic remodeling in persistent atrial fibrillation. Circulation. Arrhythmia andelectrophysiology. 2012;5:351–360. doi: 10.1161/CIRCEP.111.965541.
    1. Platonov PG, Ivanov V, Ho SY, Mitrofanova L. Left atrial posterior wall thickness in patients with and without atrial fibrillation: data from 298 consecutive autopsies. Journal of cardiovascular electrophysiology. 2008;19:689–692. doi: 10.1111/j.1540-8167.2008.01102.x.
    1. Wang TJ, et al. Temporal relations of atrial fibrillation and congestive heart failure and their joint influence on mortality: the Framingham Heart Study. Circulation. 2003;107:2920–2925. doi: 10.1161/01.CIR.0000072767.89944.6E.
    1. Rosenberg MA, Manning WJ. Diastolic dysfunction and risk of atrial fibrillation: a mechanistic appraisal. Circulation1. 2012;26:2353–2362. doi: 10.1161/CIRCULATIONAHA.112.113233.
    1. Beinart R, et al. Left atrial wall thickness variability measured by CT scans in patients undergoing pulmonary vein isolation. Journal of cardiovascular electrophysiology. 2011;22:1232–1236. doi: 10.1111/j.1540-8167.2011.02100.x.
    1. Rohner A, et al. Functional assessment of the left atrium by real-time three-dimensional echocardiography using a novel dedicated analysis tool: initial validation studies in comparison with computed tomography. European journal of echocardiography: the journal of the Working Group on Echocardiography of the European Society of Cardiology. 2011;12:497–505.
    1. Ho SY, Cabrera JA, Sanchez-Quintana D. Left atrial anatomy revisited. Circulation. Arrhythmia andelectrophysiology. 2012;5:220–228. doi: 10.1161/CIRCEP.111.962720.
    1. Hayashi H, et al. Left atrial wall thickness and outcomes of catheter ablation for atrial fibrillation in patients with hypertrophic cardiomyopathy. J Interv Card Electrophysiol. 2014;40:153–160. doi: 10.1007/s10840-014-9894-y.
    1. Hansen BJ, et al. Atrial fibrillation driven by micro-anatomic intramural re-entry revealed by simultaneous sub-epicardial and sub-endocardial optical mapping in explanted human hearts. European heart journal. 2015;36:2390–2401. doi: 10.1093/eurheartj/ehv233.
    1. Yefeng Z, Dong Y, John M, Comaniciu D. Multi-part modeling and segmentation of left atrium in C-arm CT for image-guided ablation of atrial fibrillation. IEEE transactions on medical imaging. 2014;33:318–331. doi: 10.1109/TMI.2013.2284382.
    1. Kojodjojo P, Davies DW. Atrial fibrillation ablation: contemporary practice and future potential. Heart. 2011;97:610–611. doi: 10.1136/hrt.2010.206888.
    1. Koppert, M. M. J., Rongen, P. M. J., Prokop, M., Romeny, B. M. t. H. & Assen, H. C. v. In 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro. 480–483 (2010).
    1. Suenari K, et al. Left atrial thickness under the catheter ablation lines in patients with paroxysmal atrial fibrillation: insights from 64-slice multidetector computed tomography. Heart Vessels. 2013;28:360–368. doi: 10.1007/s00380-012-0253-6.
    1. Nakamura K, et al. Left atrial wall thickness in paroxysmal atrial fibrillation by multislice-CT is initial marker of structural remodeling and predictor of transition from paroxysmal to chronic form. International journal of cardiology. 2011;148:139–147. doi: 10.1016/j.ijcard.2009.10.032.
    1. Bishop M, et al. Three-dimensional atrial wall thickness maps to inform catheter ablation procedures for atrial fibrillation. Europace. 2016;18:376–383. doi: 10.1093/europace/euv073.
    1. Ecabert O, et al. Automatic model-based segmentation of the heart in CT images. IEEE transactions on medical imaging. 2008;27:1189–1201. doi: 10.1109/TMI.2008.918330.
    1. Zhu L, Gao Y, Yezzi A, Tannenbaum A. Automatic segmentation of the left atrium from MR images via variational region growing with a moments-based shape prior. IEEE transactions on image processing: a publication of the IEEE Signal Processing Society. 2013;22:5111–5122. doi: 10.1109/TIP.2013.2282049.
    1. Hall B, et al. Variation in left atrial transmural wall thickness at sites commonly targeted for ablation of atrial fibrillation. J Interv Card Electrophysiol. 2006;17:127–132. doi: 10.1007/s10840-006-9052-2.
    1. Lazoura O, Nicol ED. Commentary on atrial masses on multidetector computed tomography. Clinical radiology. 2013;68:e291–292. doi: 10.1016/j.crad.2012.11.018.
    1. Schmidt B, et al. External and endoluminal analysis of left atrial anatomy and the pulmonary veins in three-dimensional reconstructions of magnetic resonance angiography: the full insight from inside. Journal of cardiovascular electrophysiology. 2006;17:957–964. doi: 10.1111/j.1540-8167.2006.00548.x.
    1. Wongcharoen W, et al. Morphologic characteristics of the left atrial appendage, roof, and septum: implications for the ablation of atrial fibrillation. Journal of cardiovascular electrophysiology. 2006;17:951–956. doi: 10.1111/j.1540-8167.2006.00549.x.
    1. Ho SY, Sanchez-Quintana D, Cabrera JA, Anderson RH. Anatomy of the left atrium: implications for radiofrequency ablation of atrial fibrillation. Journal of cardiovascular electrophysiology. 1999;10:1525–1533. doi: 10.1111/j.1540-8167.1999.tb00211.x.
    1. McCollough CH, et al. Coronary artery calcium: a multi-institutional, multimanufacturer international standard for quantification at cardiac CT. Radiology. 2007;243:527–538. doi: 10.1148/radiol.2432050808.
    1. Fahmi R, et al. Quantitative myocardial perfusion imaging in a porcine ischemia model using a prototype spectral detector CT system. Physics in medicine and biology. 2016;61:2407–2431. doi: 10.1088/0031-9155/61/6/2407.
    1. Gonzalez, R. C. & Woods, R. E. Digital Image Processing (3rd Edition). (Prentice-Hall, Inc., 2006).
    1. Deza, M. M. & Deza, E. 1–583 (Springer Berlin Heidelberg, 2009).
    1. Jerrold, T., Bushberg, J. A. S., Edwin, M. Leidholdt Jr. & John, M. Boone. The Essential Physics of Medical Imaging. 3 edn. 1048 (Lippincott, Williams and Wilkins, Baltimore, 2011).
    1. Oakes RS, et al. Detection and quantification of left atrial structural remodeling with delayed-enhancement magnetic resonance imaging in patients with atrial fibrillation. Circulation. 2009;119:1758–1767. doi: 10.1161/CIRCULATIONAHA.108.811877.
    1. Bisbal F, et al. CMR-guided approach to localize and ablate gaps in repeat AF ablation procedure. JACC. Cardiovascularimaging. 2014;7:653–663. doi: 10.1016/j.jcmg.2014.01.014.
    1. Arentz T, et al. “Dormant” pulmonary vein conduction revealed by adenosine after ostial radiofrequency catheter ablation. Journal of cardiovascular electrophysiology. 2004;15:1041–1047. doi: 10.1046/j.1540-8167.2004.04031.x.
    1. Taclas JE, et al. Relationship between intended sites of RF ablation and post-procedural scar in AF patients, using late gadolinium enhancement cardiovascular magnetic resonance. Heart rhythm. 2010;7:489–496. doi: 10.1016/j.hrthm.2009.12.007.
    1. Sramko M, et al. Clinical value of assessment of left atrial late gadolinium enhancement in patients undergoing ablation of atrial fibrillation. International journal of cardiology. 2015;179:351–357. doi: 10.1016/j.ijcard.2014.11.072.
    1. Lin E, Alessio A. What are the basic concepts of temporal, contrast, and spatial resolution in cardiac CT? Journal of cardiovascular computed tomography. 2009;3:403–408. doi: 10.1016/j.jcct.2009.07.003.
    1. Heckel F, et al. Segmentation-based partial volume correction for volume estimation of solid lesions in CT. IEEE transactions on medical imaging33, 462-480. 2014
    1. Corradi D. Atrial fibrillation from the pathologist’s perspective. Cardiovascular pathology: the official journal of the Society for Cardiovascular Pathology. 2014;23:71–84. doi: 10.1016/j.carpath.2013.12.001.
    1. Zhao J, et al. An image-based model of atrial muscular architecture: effects of structural anisotropy on electrical activation. Circulation. Arrhythmia andelectrophysiology. 2012;5:361–370. doi: 10.1161/CIRCEP.111.967950.
    1. Papez JW. Heart musculature of the atria. American Journal of Anatomy. 1920;27:255–285. doi: 10.1002/aja.1000270302.
    1. Nattel S, Harada M. Atrial remodeling and atrial fibrillation: recent advances and translational perspectives. Journal of the American College of Cardiology. 2014;63:2335–2345. doi: 10.1016/j.jacc.2014.02.555.
    1. Schotten U, Verheule S, Kirchhof P, Goette A. Pathophysiological mechanisms of atrial fibrillation: a translational appraisal. Physiologicalreviews. 2011;91:265–325.
    1. Chugh SS, et al. Worldwide epidemiology of atrial fibrillation: a Global Burden of Disease 2010 Study. Circulation1. 2014;29:837–847. doi: 10.1161/CIRCULATIONAHA.113.005119.
    1. Goette A, et al. EHRA/HRS/APHRS/SOLAECE expert consensus on Atrial cardiomyopathies: Definition, characterisation, and clinical implication. Journal of arrhythmia. 2016;32:247–278. doi: 10.1016/j.joa.2016.05.002.
    1. De Jong AM, et al. Mechanisms of atrial structural changes caused by stretch occurring before and during early atrial fibrillation. Cardiovascular research. 2011;89:754–765. doi: 10.1093/cvr/cvq357.
    1. Cury RC, et al. CAD-RADS(TM) Coronary Artery Disease - Reporting and Data System. An expert consensus document of the Society of Cardiovascular Computed Tomography (SCCT), the American College of Radiology (ACR) and the North American Society for Cardiovascular Imaging (NASCI). Endorsed by the American College of Cardiology. Journal of cardiovascular computedtomography. 2016;10:269–281.

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