Document Detail


An effective non-rigid registration approach for ultrasound image based on "demons" algorithm.
MedLine Citation:
PMID:  23053907     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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.
Authors:
Yan Liu; H D Cheng; Jianhua Huang; Yingtao Zhang; Xianglong Tang; Jiawei Tian
Related Documents :
11311027 - Reliability of power output measurements during repeated treadmill sprinting in rugby p...
25134487 - Computational mitral valve evaluation and potential clinical applications.
23736237 - Experimental investigation of the quality of ghost imaging via sparsity constraints.
24348747 - Gpu-based block-wise nonlocal means denoising for 3d ultrasound images.
22672927 - The potential role of the striatum in antisocial behavior and psychopathy.
16944187 - Redistribution of the neurosensory retina in inferior limited macular translocation: an...
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    
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:
Algorithms*
Breast Neoplasms / ultrasonography*
Diagnosis, Computer-Assisted / methods*
Female
Humans
Ultrasonography, Mammary / methods*
Comments/Corrections

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  Automatic retrieval of bone fracture knowledge using natural language processing.
Next Document:  Using a high-speed movie camera to evaluate slice dropping in clinical image interpretation with sta...