Automatic left and right heart segmentation using power watershed and active contour model without edge
- Authors
- Kang, H.C.; Kim, B.; Lee, J.; Shin, J.; Shin, Y.-G.
- Issue Date
- 2014
- Publisher
- Springer Verlag
- Keywords
- Active contour model without edge; Chan-Vese model; CT image; Heart segmentation; Image segmentation; K-means clustering; Power watershed
- Citation
- Biomedical Engineering Letters, v.4, no.4, pp.355 - 361
- Journal Title
- Biomedical Engineering Letters
- Volume
- 4
- Number
- 4
- Start Page
- 355
- End Page
- 361
- URI
- http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/10898
- DOI
- 10.1007/s13534-014-0164-9
- ISSN
- 2093-9868
- Abstract
- Conclusions: The proposed method extracts the left and right heart accurately, demonstrating that this approach can assist the cardiologist.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. © 2014, Korean Society of Medical and Biological Engineering and Springer.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - College of Information Technology > School of Computer Science and Engineering > 1. Journal Articles
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.