A hybrid active contour segmentation method for myocardial D-SPECT images
Huang, Chenxi; Shan, Xiaoying; Lan, Yisha; Liu, Lu; Cai, Haidong; Che, Wenliang; Hao, Yongtao; Cheng, Yongqiang; Peng, Yonghong
Dr Yongqiang Cheng Y.Cheng@hull.ac.uk
Ischaemic heart disease has become one of the leading causes of mortality worldwide. Dynamic single-photon emission computed tomography (D-SPECT) is an advanced routine diagnostic tool commonly used to validate myocardial function in patients suffering from various heart diseases. Accurate automatic localization and segmentation of myocardial regions is helpful in creating a three-dimensional myocardial model and assisting clinicians to perform assessments of myocardial function. Thus, image segmentation is a key technology in preclinical cardiac studies. Intensity inhomogeneity is one of the common challenges in image segmentation and is caused by image artefacts and instrument inaccuracy. In this paper, a novel region-based active contour model that can segment the myocardial D-SPECT image accurately is presented. First, a local region-based fitting image is defined based on information related to the intensity. Second, a likelihood fitting image energy function is built in a local region around each point in a given vector-valued image. Next, the level set method is used to present a global energy function with respect to the neighbourhood centre. The proposed approach guarantees precision and computational efficiency by combining the region-scalable fitting energy (RSF) model and local image fitting energy (LIF) model, and it can solve the issue of high sensitivity to initialization for myocardial D-SPECT segmentation.
|Journal Article Type||Article|
|Publication Date||Jul 10, 2018|
|Journal||IEEE access : practical innovations, open solutions|
|Publisher||Institute of Electrical and Electronics Engineers|
|Peer Reviewed||Peer Reviewed|
|APA6 Citation||Huang, C., Shan, X., Lan, Y., Liu, L., Cai, H., Che, W., …Peng, Y. (2018). A hybrid active contour segmentation method for myocardial D-SPECT images. IEEE access : practical innovations, open solutions, 6, 39334-39343. https://doi.org/10.1109/ACCESS.2018.2855060|
|Keywords||General Engineering; General Materials Science; General Computer Science|
|Copyright Statement||© 2018 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/pub...tions/rights/index.html for more information.|
© 2018 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information.
You might also like
Local keypoint-based Faster R-CNN