Document Detail

An effective non-rigid registration approach for ultrasound image based on "demons" algorithm.
MedLine Citation:
PMID:  23053907     Owner:  NLM     Status:  MEDLINE    
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.
Yan Liu; H D Cheng; Jianhua Huang; Yingtao Zhang; Xianglong Tang; Jiawei Tian
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Journal of digital imaging     Volume:  26     ISSN:  1618-727X     ISO Abbreviation:  J Digit Imaging     Publication Date:  2013 Jun 
Date Detail:
Created Date:  2013-05-09     Completed Date:  2014-01-09     Revised Date:  2014-06-03    
Medline Journal Info:
Nlm Unique ID:  9100529     Medline TA:  J Digit Imaging     Country:  United States    
Other Details:
Languages:  eng     Pagination:  521-9     Citation Subset:  IM    
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MeSH Terms
Breast Neoplasms / ultrasonography*
Diagnosis, Computer-Assisted / methods*
Ultrasonography, Mammary / methods*

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