A Novel Segmentation Approach Combining Region- and Edge-Based Information for Ultrasound Images

المؤلفون المشاركون

Li, Xuelong
Huang, Qing-Hua
Luo, Yaozhong
Liu, Longzhong

المصدر

BioMed Research International

العدد

المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-18، 18ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2017-04-27

دولة النشر

مصر

عدد الصفحات

18

التخصصات الرئيسية

الطب البشري

الملخص EN

Ultrasound imaging has become one of the most popular medical imaging modalities with numerous diagnostic applications.

However, ultrasound (US) image segmentation, which is the essential process for further analysis, is a challenging task due to the poor image quality.

In this paper, we propose a new segmentation scheme to combine both region- and edge-based information into the robust graph-based (RGB) segmentation method.

The only interaction required is to select two diagonal points to determine a region of interest (ROI) on the original image.

The ROI image is smoothed by a bilateral filter and then contrast-enhanced by histogram equalization.

Then, the enhanced image is filtered by pyramid mean shift to improve homogeneity.

With the optimization of particle swarm optimization (PSO) algorithm, the RGB segmentation method is performed to segment the filtered image.

The segmentation results of our method have been compared with the corresponding results obtained by three existing approaches, and four metrics have been used to measure the segmentation performance.

The experimental results show that the method achieves the best overall performance and gets the lowest ARE (10.77%), the second highest TPVF (85.34%), and the second lowest FPVF (4.48%).

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Luo, Yaozhong& Liu, Longzhong& Huang, Qing-Hua& Li, Xuelong. 2017. A Novel Segmentation Approach Combining Region- and Edge-Based Information for Ultrasound Images. BioMed Research International،Vol. 2017, no. 2017, pp.1-18.
https://search.emarefa.net/detail/BIM-1139364

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Luo, Yaozhong…[et al.]. A Novel Segmentation Approach Combining Region- and Edge-Based Information for Ultrasound Images. BioMed Research International No. 2017 (2017), pp.1-18.
https://search.emarefa.net/detail/BIM-1139364

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Luo, Yaozhong& Liu, Longzhong& Huang, Qing-Hua& Li, Xuelong. A Novel Segmentation Approach Combining Region- and Edge-Based Information for Ultrasound Images. BioMed Research International. 2017. Vol. 2017, no. 2017, pp.1-18.
https://search.emarefa.net/detail/BIM-1139364

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1139364