|
KMID : 1144120140040040355
|
|
Biomedical Engineering Letters
2014 Volume.4 No. 4 p.355 ~ p.361
|
|
|
Automatic left and right heart segmentation using power watershed and active contour model without edge
|
|
Kang Ho-Chul
Kim Bo-Hyoung
Lee Jeong-Jin
Shin June-Seuk
Shin Yeong-Gil
|
|
|
Abstract
|
|
|
Purpose: In this paper, we present an automatic method to segment a whole heart and separate left and right heart regions in cardiac computed tomography angiography (CTA) efficiently.
Methods: First, we smooth the images by applying filters to remove noise. Second, the volume of interest (VOI) is detected by using k-means clustering. In this step, the whole heart is coarsely extracted, and it is used for seed volumes in the next step. Third, we detect seed volumes using a geometric analysis based on anatomical information and separate the left and right heart with power watershed. Finally, we refine the left and right sides of the heart using active contour model without edge, which used region-based information for a more accurate segmentation.
Results: In experimental results using twenty clinical datasets, the average segmentation error was less than 5%. The average processing time was 51.66±3.35 s.
Conclusions: The proposed method extracts the left and right heart accurately, demonstrating that this approach can assist the cardiologist.
|
|
|
KEYWORD
|
|
|
Image segmentation, Heart segmentation, CT image, K-means clustering, Power watershed, Active contour model without edge, Chan-Vese model
|
|
|
FullTexts / Linksout information
|
|
|
|
|
|
Listed journal information
|
|
|
|
|