scholarly journals Computational Shape Models Characterize Shape Change of the Left Atrium in Atrial Fibrillation

2014 ◽  
Vol 8s1 ◽  
pp. CMC.S15710 ◽  
Author(s):  
Joshua Cates ◽  
Erik Bieging ◽  
Alan Morris ◽  
Gregory Gardner ◽  
Nazem Akoum ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Left Atrium ◽  
Shape Change ◽  
Three Dimensional ◽  
Shape Variation ◽  
Mr Images ◽  
Significant Group ◽  
Empirical Observation ◽  
Shape Models ◽  
Statistical Shape

Shape change of the left atrium (LA) and LA appendage in atrial fibrillation (AF) patients is hypothesized to be linked to AF pathology and to play a role in thrombogenesis; however, many aspects of shape variation in the heart are poorly understood. To date, studies of the LA shape in AF have been limited to empirical observation and summary metrics, such as volume and its likeness to a sphere. This paper describes a more comprehensive approach to the study of the LA shape through the use of computationally derived statistical shape models. We describe practical approaches that we have developed to extract shape parameters automatically from the three-dimensional MR images of the patient. From these images and our techniques, we can produce a more comprehensive description of LA geometric variability than that has been previously possible. We present the methodology and results from two examples of specific analyses using shape models: (1) we describe statistically significant group differences between the normal control and AF patient populations ( n = 137) and (2) we describe characteristic shapes of the LA appendage that are associated with the risk of thrombogenesis determined by transesophageal echocardiography ( n = 203).

Abstract 12471: Optimal Prediction of Atrial Fibrillation Recurrence After Ablation: A Computational Anatomy Study

Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Marta Varela ◽  
Felipe Bisbal ◽  
Ernesto Zacur ◽  
Esther Guiu ◽  
Antonio Berruezo ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Left Atrial ◽  
Complete Characterization ◽  
Statistical Shape Model ◽  
Patient Specific ◽  
Shape Variation ◽  
Global Features ◽  
Linear Discriminant ◽  
Af Ablation ◽  
Statistical Shape

Background: Left atrial structural remodelling, assessed by left atrial (LA) sphericity or antero-posterior diameter, has been shown to predict recurrence after atrial fibrillation (AF) ablation. The study aimed to perform a computational shape analysis of the LA to quantitatively characterise the LA shape remodelling process and identify metrics that optimally predict recurrence. Methods: Pre-procedural bright-blood MRIs of the LA of patients undergoing AF ablation were segmented. Patient-specific smooth 3D meshes were fitted to the segmentations. A statistical shape model of the LA was created and the global features underpinning the observed shape variation extracted as principal components (PCs). PCs were optimally combined to create non-empirical atlas-based metrics using linear discriminant analysis. Meshes depicting mean and extreme recurrent and non-recurrent LA shapes were also synthetized. The capability of different metrics to predict recurrence was evaluated using the area under the ROC curve (AUC) of a leave 1 out cross validation test. Results: In total, 111 patients were included. At 12 months follow-up, LA sphericity was the best predictor of recurrence (AUC: 0.66) over novel atlas-based metrics (AUC: 0.65). At 24 months, atlas-based metrics were the best predictors of recurrence (AUC: 0.66), outperforming a combination of sphericity and volume (AUC: 0.64), sphericity alone (AUC: 0.63) and any other traditional metric. Conclusions: Novel atlas-based metrics improve the prediction of recurrence at 2 years post-AF ablation. They allow a more complete characterization of the LA shape remodelling process, for example by allowing the synthesis of recurrent and non-recurrent LA shapes, which may contribute to patient stratification for AF ablation.

scholarly journals Linear ablation of left atrium for the treatment of atrial fibrillation guided by double Lasso catheters and three dimensional electroanatomical mapping

2006 ◽  
Vol 119 (24) ◽  
pp. 2042-2048 ◽  
Author(s):  
Jian MA ◽  
Kai TANG ◽  
Fu-sheng MA ◽  
Yu-he JIA ◽  
Shu ZHANG ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Left Atrium ◽  
Three Dimensional ◽  
Electroanatomical Mapping ◽  
Linear Ablation

Intervertebral Disc Shape Variation and its Relationship to Degeneration Using Principal Components Analysis of a Population of MR Images

2012 ◽  
Author(s):  
John M. Peloquin ◽  
Jonathon H. Yoder ◽  
Nathan T. Jacobs ◽  
Sung M. Moon ◽  
Alexander C. Wright ◽  
...  
Keyword(s):  
Stress Distribution ◽  
Intervertebral Disc ◽  
Material Properties ◽  
Three Dimensional ◽  
Low Back ◽  
Shape Variation ◽  
Mr Images ◽  
Physiological Basis ◽  
Prevalent Disease ◽  
Components Analysis

Degeneration of the intervertebral disc (IVD) is implicated in low back pain, which is a costly and prevalent disease. Since the IVD is a mechanically active organ, it is important to consider its mechanical behavior as one factor in the degenerate pathology. Strain can be measured directly by imaging methods, but the stress distribution within the disc must be calculated. The stress distribution for a particular strain state is dependent on the IVD’s material properties and its geometry. While the material properties of the tissues comprising IVD have been extensively studied, its three-dimensional geometry remains incompletely characterized. Prior whole-disc models have been constructed from single IVDs. While this approach ensures that the geometry has a physiological basis, it is uncertain the degree to which results from a single IVD shape can be generalized to the entire population.

Automated detection, 3D segmentation and analysis of high resolution spine MR images using statistical shape models

2012 ◽  
Vol 57 (24) ◽  
pp. 8357-8376 ◽  
Author(s):  
A Neubert ◽  
J Fripp ◽  
C Engstrom ◽  
R Schwarz ◽  
L Lauer ◽  
...  
Keyword(s):  
High Resolution ◽  
Automated Detection ◽  
Mr Images ◽  
3D Segmentation ◽  
Statistical Shape Models ◽  
Shape Models ◽  
Statistical Shape ◽  
Spine Mr

Three-Dimensional Anatomy of the Left Atrium by Magnetic Resonance Angiography: Implications for Catheter Ablation for Atrial Fibrillation

2006 ◽  
Vol 17 (7) ◽  
pp. 719-723 ◽  
Author(s):  
MOUSSA MANSOUR ◽  
MARWAN REFAAT ◽  
EDWIN KEVIN HEIST ◽  
THEOFANIE MELA ◽  
RICARDO CURY ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Catheter Ablation ◽  
Magnetic Resonance ◽  
Magnetic Resonance Angiography ◽  
Left Atrium ◽  
Three Dimensional

GW24-e2989 Linear ablation of left atrium for treatment atrial fibrillation guided by three dimensional electroanatomical mapping but without lasso catheter

Heart ◽  
2013 ◽  
Vol 99 (Suppl 3) ◽  
pp. A194.2-A195
Author(s):  
JuXiang Li ◽  
jianxin Hu ◽  
Xiao Shu Cheng ◽  
Pekka Raatikainen ◽  
Li juxiang
Keyword(s):  
Atrial Fibrillation ◽  
Left Atrium ◽  
Three Dimensional ◽  
Electroanatomical Mapping ◽  
Linear Ablation

scholarly journals Three dimensional measurement of minimum joint space width in the knee from stereo radiographs using statistical shape models

2016 ◽  
Vol 5 (8) ◽  
pp. 320-327 ◽  
Author(s):  
E. A. van IJsseldijk ◽  
E. R. Valstar ◽  
B. C. Stoel ◽  
R. G. H. H. Nelissen ◽  
N. Baka ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Joint Space Width ◽  
Joint Space ◽  
Statistical Shape Models ◽  
Dimensional Measurement ◽  
Shape Models ◽  
Three Dimensional Measurement ◽  
Statistical Shape ◽  
Minimum Joint Space Width ◽  
Space Width

scholarly journals Statistical shape modeling of the left atrium from MRI of patients with atrial fibrillation

2011 ◽  
Vol 13 (Suppl 1) ◽  
pp. P57 ◽  
Author(s):  
Christopher Gloschat ◽  
Joshua Cates ◽  
Brett Walker ◽  
Robert S MacLeod
Keyword(s):  
Atrial Fibrillation ◽  
Left Atrium ◽  
Shape Modeling ◽  
Statistical Shape ◽  
Statistical Shape Modeling
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