@inproceedings{4d70601f368445748c577da57c7150b1,
title = "Robust shape-constrained active contour for whole heart segmentation in 3-D CT images for radiotherapy planning",
abstract = "Automatic segmentation of the whole heart in computed tomography(CT) image is crucial for efficient treatment planning of thoracic radiotherapy. In this paper, we propose a fully automatic method for whole heart segmentation of thoracic CT images. A robust active shape model (Robust ASM) is proposed using shape models developed from training data to reduce outliers due to similar intensity of neighboring organs. A novel shape constrained active contour model is presented to further improve the segmentation result. A mean point-to-surface error of 2.37mm was measured based on 38 images. The averaged Dice index is 0.90.",
keywords = "CT image, Radiotherapy, Whole heart segmentation",
author = "Xuan Zhao and Yao Wang and Gabor Jozsef",
year = "2014",
month = jan,
day = "28",
doi = "10.1109/ICIP.2014.7024999",
language = "English (US)",
series = "2014 IEEE International Conference on Image Processing, ICIP 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--5",
booktitle = "2014 IEEE International Conference on Image Processing, ICIP 2014",
}