Paper Info
Title
Reconstruction Of Patient-Specific Left Atrial Geometry From Cmr Imaging
Abstract
Clinical quantification of left atrial (LA) volumes is currently performed using either the biplane area-length method or the method of discs (Simpson's method) on 2-D cardiac images or 3D echocardiography. However, these methods tend to underestimate LA volumes as compared to cardiovascular magnetic resonance (CMR) imaging.In this paper, we propose a geometry-based reconsfruction algorithm for computing the LA volume automatically for the entire cardiac cycle by combining information from both the short- and long-axis from CUR imaging. The inputs to our reconsfruction algorithm are as follows: (i) a set of segmented short-axis contours and (ii) a set of segmented long-axis contours from the standard 2-chamber and 4-chamber views. Our approach consists of a series of iterative steps where the most basal short-axis contour is projected in the atrial direction and subsequently morph to the patient-specific LA shape using the long-axis contours as guide. These series of morphing generate a left heart comprising both the LV and LA geometries with a planar basal surface. To reconsfruct the LA cap, this planar basal surface is morphed into a hemisphere representing the closed surface of the LA using the long-axis contours as guide, thereby allowing us to reconsfruct the closed LA shape and to calculate its volume.
Year
DOI
Venue
2018
10.22489/CinC.2018.169
2018 COMPUTING IN CARDIOLOGY CONFERENCE (CINC)
Field
DocType
Volume
Morphing,Biplane,Left atrial,Computer science,Planar,Reconstruction algorithm,Cardiac cycle,Geometry,3d echocardiography,Magnetic resonance imaging
Conference
45
ISSN
Citations 
PageRank 
2325-8861
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Soo Kng Teo1146.97
Xiaodan Zhao214.20
Ru-San Tan323922.37
Liang Zhong444.21
Y. Su52010.55