Difference between revisions of "Projects:AFibLongitudinalAnalysis"

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(Created page with 'Back to Boston University Algorithms __NOTOC__ = Description = To segment the scaring tissue from DE-MRI images, we proposed an effective method that utilizes …')
 
 
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Back to [[Algorithm:BU|Boston University Algorithms]]
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Back to [[Algorithm:Stony Brook|Stony Brook University Algorithms]]
 
__NOTOC__
 
__NOTOC__
  
 
= Description =  
 
= Description =  
To segment the scaring tissue from DE-MRI images, we proposed an effective method that utilizes the geometric and intensity information of the left atrial wall. The key
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The shape evolution of the left atrium in the atrial fibrillation patiens is studied longitudinally to reveal the difference between recover group (CG) and the AFib recurrence group (RG).
observation is that the scaring tissue lies around a thin layer outside the LA chamber and has high intensity values. In order to identify the scar in the
 
image, we first extract the wall region of the LA. Then, the extraction of the scar is restricted in the wall region.
 
  
*[[File:ScarIntensities.png|800px]]
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= Method =
Scars in a DE-MRI image. The LA is highlighted with red contour. From left to right: scars in axial, sagittal, and coronal views, respectively.
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Four sets of shapes are input to the algorithm. The first set contains the shapes of the CG group taken at time 0. The second set contains the shapes of the same group taken at time 1. The third sets are the shapes of the RG group at time 0 and the fourth sets are the RG group at time 1.
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Subsequently, the shapes evolution profiles between two time points, for both groups, are constructed. This enables a continuous evolution path for both shape groups.
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The evolution paths are then traced and statistical tests are performed to evaluate the p-value maps indicating the differences between the two groups.
  
 
= Results =
 
= Results =
*[[File:LAWall.png|800px]]
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[[File:LongitudinalAFib.png|800px]]
Extracted LA wall. From left to right: LA wall in axial, sagittal, and coronal views, respectively.
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Shape difference. From left to right: mean shapes with p-value map at time 0, 0.1, ..., 1.0.
  
*[[File:LAScar.png|800px]]
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From the evolution of the p-value maps from time 0 to time 1, we can observe the longitudinal shape differences between the cured group and the AFib recurrent group.
From left to right: scars in axial, sagittal, and coronal views, respectively.
 
  
 
= Key Investigators =
 
= Key Investigators =
*Georgia Tech: Liangjia Zhu and Anthony Yezzi
 
 
*BWH: Yi Gao and Sylvain Bouix
 
*BWH: Yi Gao and Sylvain Bouix
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*Georgia Tech: Liangjia Zhu
 
*Boston University: Allen Tannenbaum
 
*Boston University: Allen Tannenbaum
  
 
= Publications =
 
= Publications =
Y. Gao, L. Zhu, A. Yezzi, S. Bouix , A. Tannenbaum. Scar Segmentation in DE-MRI, IEEE International Symposium on Biomedical Imaging (ISBI) , 2012.
 

Latest revision as of 01:04, 16 November 2013

Home < Projects:AFibLongitudinalAnalysis

Back to Stony Brook University Algorithms


Description

The shape evolution of the left atrium in the atrial fibrillation patiens is studied longitudinally to reveal the difference between recover group (CG) and the AFib recurrence group (RG).

Method

Four sets of shapes are input to the algorithm. The first set contains the shapes of the CG group taken at time 0. The second set contains the shapes of the same group taken at time 1. The third sets are the shapes of the RG group at time 0 and the fourth sets are the RG group at time 1.

Subsequently, the shapes evolution profiles between two time points, for both groups, are constructed. This enables a continuous evolution path for both shape groups.

The evolution paths are then traced and statistical tests are performed to evaluate the p-value maps indicating the differences between the two groups.

Results

LongitudinalAFib.png

Shape difference. From left to right: mean shapes with p-value map at time 0, 0.1, ..., 1.0.

From the evolution of the p-value maps from time 0 to time 1, we can observe the longitudinal shape differences between the cured group and the AFib recurrent group.

Key Investigators

  • BWH: Yi Gao and Sylvain Bouix
  • Georgia Tech: Liangjia Zhu
  • Boston University: Allen Tannenbaum

Publications