An Effective Non-rigid Registration Approach for Ultrasound Image Based On “Demons” Algorithm
Abstract Medical image registration is an important component of computer-aided diagnosis system in diagnostics, therapy planning, and guidance of surgery. Because of its low signal/noise ratio (SNR), ultrasound (US) image registration is a difficult task. In this paper, a fully automatic non-rigid image registration algorithm based on demons algorithm is proposed for registration of ultrasound images. In the proposed method, an “inertia force” derived from the local motion trend of pixels in a Moore neighborhood system is produced and integrated into optical flow equation to estimate the demons force, which is helpful to handle the speckle noise and preserve the geometric continuity of US images. In the experiment, a series of US images and several similarity measure metrics are utilized for evaluating the performance. The experimental results demonstrate that the proposed method can register ultrasound images efficiently, robust to noise, quickly and automatically..
Medienart: |
Artikel |
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Erscheinungsjahr: |
2012 |
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Erschienen: |
2012 |
Enthalten in: |
Zur Gesamtaufnahme - volume:26 |
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Enthalten in: |
Journal of digital imaging - 26(2012), 3 vom: 10. Okt., Seite 521-529 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Liu, Yan [VerfasserIn] |
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Links: |
Volltext [lizenzpflichtig] |
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BKL: |
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Anmerkungen: |
© Society for Imaging Informatics in Medicine 2012 |
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doi: |
10.1007/s10278-012-9532-0 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
OLC2065825766 |
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520 | |a Abstract Medical image registration is an important component of computer-aided diagnosis system in diagnostics, therapy planning, and guidance of surgery. Because of its low signal/noise ratio (SNR), ultrasound (US) image registration is a difficult task. In this paper, a fully automatic non-rigid image registration algorithm based on demons algorithm is proposed for registration of ultrasound images. In the proposed method, an “inertia force” derived from the local motion trend of pixels in a Moore neighborhood system is produced and integrated into optical flow equation to estimate the demons force, which is helpful to handle the speckle noise and preserve the geometric continuity of US images. In the experiment, a series of US images and several similarity measure metrics are utilized for evaluating the performance. The experimental results demonstrate that the proposed method can register ultrasound images efficiently, robust to noise, quickly and automatically. | ||
700 | 1 | |a Cheng, H. D. |4 aut | |
700 | 1 | |a Huang, Jianhua |4 aut | |
700 | 1 | |a Zhang, Yingtao |4 aut | |
700 | 1 | |a Tang, Xianglong |4 aut | |
700 | 1 | |a Tian, Jiawei |4 aut | |
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