Paper Info
Title
Automatic Left Atrial Wall Segmentation from Contrast-Enhanced CT Angiography Images.
Abstract
Assessment of the left atrial (LA) wall can provide valuable information for treatment of atrial fibrillation (AF) patients. In this work, we propose a fully automatic workflow to segment the atrial wall from contrast-enhanced CT angiography (CTA). The workflow consists of 3 steps: (1) global segmentation of LA by multi-atlas image registration approach, (2) selected enhancement of the atrial wall by nonlinear intensity transformation, (3) segmentation of the inner and outer boundary of atrial wall by level-set approach.
Year
DOI
Venue
2016
10.1007/978-3-319-52718-524
Lecture Notes in Computer Science
Keywords
DocType
Volume
CTA,Atrial wall segmentation,Multi-atlas,Level-set
Conference
10124
ISSN
Citations 
PageRank 
0302-9743
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Qian Tao15914.00
Rahil Shahzad200.68
Floris F. Berendsen3853.82
Rob J. Van Der Geest455956.91