Analytical phase tracking based strain estimation
A new strain estimator for quasi-static elastography is presented, based on tracking of the analytical signal phase as a function of the external force. Two implementations are introduced: zero-phase search with moving window (SMW) and zero-phase band tracking using connected component labeling (CCL). Low analytical signal amplitude caused by local destructive interference is associated with large error in the phase trajectories, and amplitude thresholding can thus be used to terminate the phase tracking along a particular path. Interpolation is then applied to estimate displacement in the eliminated path.
The paper describes first a mathematical analysis based on 1-D multi-scatter modeling, followed by a statistical study of the displacement and strain error. Simulation and experiment with an inhomogeneous phantom indicate that SMW and CCL are capable of reliably estimating tissue displacement and strain over a larger range of deformation than standard timedomain cross-correlation (SCC). Results also show that SMW is roughly 40 times faster than SCC with comparable or even better accuracy. CCL is slower than SMW, but more noise robust. Simulation assessment at compression level 3% and 6% with SNR 20 dB demonstrates average strain error for SMW and CCL of 10%, whereas SCC achieves 18%.
Related Image Processing Project Titles:
- Pyramid of Spatial Relatons for Scene-Level Land Use Classification.
- A Survey on Spectral–Spatial Classification Techniques Based on Attribute Profiles.
- Semiautomated Extraction of Street Light Poles From Mobile LiDAR Point-Clouds.
- Blind Image Quality Assessment Using the Joint Statistics of Generalized Local Binary Pattern.
- Contributions to Automatic Target Recognition Systems for Underwater Mine Classification.
- Sparse Hierarchical Clustering for VHR Image Change Detection.
- Neural Networks and Support Vector Machine Algorithms for Automatic Cloud Classification of Whole-Sky Ground-Based Images.
- Progress Toward a Deployable SQUID-Based Ultra-Low Field MRI System for Anatomical Imaging.
- Saliency-Guided Unsupervised Feature Learning for Scene Classification.
- Missing Data and Regression Models for Spatial Images.
- Dynamic Low-Level Context for the Detection of Mild Traumatic Brain Injury.
- Characterization of Macrolesions Induced by Myocardial Cavitation-Enabled Therapy.
- Elitist Chemical Reaction Optimization for Contour-Based Target Recognition in Aerial Images.
- Parallel Style-Aware Image Cloning for Artworks.
- Real-Time Electrical Impedance Variations in Women With and Without Breast Cancer.
- Improved Variational Denoising of Flow Fields with Application to Phase-Contrast MRI Data.
- Joint Source-Channel Coding and Unequal Error Protection for Video Plus Depth.
- Automated Aesthetic Analysis of Photographic Images.
- Phase Offset Calculation for Airborne InSAR DEM Generation Without Corner Reflectors.
Subscribe Our Youtube Channel
You can Watch all Subjects Matlab & Simulink latest Innovative Project Results
We want to support Uncompromise Matlab service for all your Requirements Our Reseachers and Technical team keep update the technology for all subjects ,We assure We Meet out Your Needs.
- Matlab Research Paper Help
- Matlab assignment help
- Matlab Project Help
- Matlab Homework Help
- Simulink assignment help
- Simulink Project Help
- Simulink Homework Help
- Matlab Research Paper Help
- NS3 Research Paper Help
- Omnet++ Research Paper Help
- Customised Matlab Assignments
- Global Assignment Knowledge
- Best Assignment Writers
- Certified Matlab Trainers
- Experienced Matlab Developers
- Over 400k+ Satisfied Students
- Ontime support
- Best Price Guarantee
- Plagiarism Free Work
- Correct Citations
Expert Matlab services just 1-click
Unlimited support we offer you
For better understanding purpose we provide following Materials for all Kind of Research & Assignment & Homework service.
- Result snapshot
- Video Tutorial
- Instructions Profile
- Sofware Install Guide
- Execution Guidance
- Implement Plan
Matlab projects innovators has laid our steps in all dimension related to math works.Our concern support matlab projects for more than 10 years.Many Research scholars are benefited by our matlab projects service.We are trusted institution who supplies matlab projects for many universities and colleges.
Reasons to choose Matlab Projects .org???
Our Service are widely utilized by Research centers.More than 5000+ Projects & Thesis has been provided by us to Students & Research Scholars. All current mathworks software versions are being updated by us.
Our concern has provided the required solution for all the above mention technical problems required by clients with best Customer Support.
- Novel Idea
- Ontime Delivery
- Best Prices
- Unique Work