Scan Science and Technology
Contact Leading Edge Experts & Companies
The Experts below are selected from a list of 321 Experts worldwide ranked by ideXlab platform
Zhongping Chen – One of the best experts on this subject based on the ideXlab platform.
Acoustic Radiation Force Optical Coherence Elastography2014 Asia Communications and Photonics Conference (ACP), 2014Co-Authors: Zhongping ChenAbstract:
An Acoustic Radiation force optical coherence elastography (ARF-OCE) system was developed that combines high speed ARF with high resolution of phase resolved optical coherence tomography to image and quantify tissues biomechanical properties.
phase resolved Acoustic Radiation force optical coherence elastographyJournal of Biomedical Optics, 2012Co-Authors: Wenjuan Qi, Ruimin Chen, Lidek Chou, Jun Zhang, Qifa Zhou, Zhongping ChenAbstract:
Many diseases involve changes in the biomechanical properties of tissue, and there is a close correlation between tissue elasticity and pathology. We report on the development of a phase-resolved Acoustic Radiation force optical coherence elastography method (ARF-OCE) to evaluate the elastic properties of tissue. This method utilizes chirped Acoustic Radiation force to produce excitation along the sample’s axial direction, and it uses phase-resolved optical coherence tomography (OCT) to measure the vibration of the sample. Under 500-Hz square wave modulated ARF signal excitation, phase change maps of tissue mimicking phantoms are generated by the ARF-OCE method, and the resulting Young’s modulus ratio is correlated with a standard compression test. The results verify that this technique could efficiently measure sample elastic properties accurately and quantitatively. Furthermore, a three-dimensional ARF-OCE image of the human atherosclerotic coronary artery is obtained. The result indicates that our dynamic phase-resolved ARF-OCE method can delineate tissues with different mechanical properties.
Zhaoling Lu Wei Meng, Wenzhong Du, Guangchen Zhang, Guozhu Wu, – One of the best experts on this subject based on the ideXlab platform.
Acoustic Radiation force impulse (ARFI) ultrasound imaging of breast lesions.European journal of radiology, 2011Co-Authors: Zhaoling Lu Wei Meng, Wenzhong Du, Guangchen Zhang, Guozhu Wu,Abstract:
The aim of this study was to determine the appearance of breast lesions using Acoustic Radiation force impulse (ARFI) imaging and to correlate the Acoustic Radiation force impulse values with the pathological results. The Virtual Touch tissue quantification (VTQ) values were analyzed in 86 patients (mean age 45.6 years, range 17-78 years) with 92 breast lesions (65 benign, 27 malignant; mean size 25.7mm). The diagnostic performance of Acoustic Radiation force impulse values were evaluated with respect to sensitivity, specificity, and area under the curve using a receiver operating characteristic curve analysis. The mean Virtual Touch tissue quantification values of the benign lesions (3.25±2.03m/s) differed from that of the malignant lesions (8.22±1.72m/s; P
Mark L. Palmeri – One of the best experts on this subject based on the ideXlab platform.
Intravascular Acoustic Radiation force imaging2015 IEEE International Ultrasonics Symposium (IUS), 2015Co-Authors: Carl D. Herickhoff, Jeremy J. Dahl, Mark L. PalmeriAbstract:
Atherosclerosis is a disease in which plaque builds up in the arterial wall, narrowing and hardening the vessel and restricting the supply of blood and oxygen to the heart muscle. Plaques characterized by a thin fibrous cap and a soft, lipid-rich necrotic core are vulnerable to rupture, which can result in a heart attack or stroke. Our long-term goal is the development of an intravascular ultrasound (IVUS) probe capable of high-resolution Acoustic Radiation force imaging in the coronary arteries, to identify and characterize vulnerable plaque. We investigate the feasibility of this approach through construction of a prototype transducer and finite-element simulation of soft plaque response to an Acoustic Radiation force excitation.
Acoustic Radiation force elasticity imaging in diagnostic ultrasoundIEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control, 2013Co-Authors: Joshua R Doherty, Kathryn R Nightingale, Gregg E Trahey, Mark L. PalmeriAbstract:
The development of ultrasound-based elasticity imaging methods has been the focus of intense research activity since the mid-1990s. In characterizing the mechanical properties of soft tissues, these techniques image an entirely new subset of tissue properties that cannot be derived with conventional ultrasound techniques. Clinically, tissue elasticity is known to be associated with pathological condition and with the ability to image these features in vivo; elasticity imaging methods may prove to be invaluable tools for the diagnosis and/or monitoring of disease. This review focuses on ultrasound-based elasticity imaging methods that generate an Acoustic Radiation force to induce tissue displacements. These methods can be performed noninvasively during routine exams to provide either qualitative or quantitative metrics of tissue elasticity. A brief overview of soft tissue mechanics relevant to elasticity imaging is provided, including a derivation of Acoustic Radiation force, and an overview of the various Acoustic Radiation force elasticity imaging methods.
Acoustic Radiation force based elasticity imaging methodsInterface Focus, 2011Co-Authors: Mark L. Palmeri, Kathryn R NightingaleAbstract:
Conventional diagnostic ultrasound images portray differences in the Acoustic properties of soft tissues, whereas ultrasound-based elasticity images portray differences in the elastic properties of soft tissues (i.e. stiffness, viscosity). The benefit of elasticity imaging lies in the fact that many soft tissues can share similar ultrasonic echogenicities, but may have different mechanical properties that can be used to clearly visualize normal anatomy and delineate pathological lesions. Acoustic Radiation force-based elasticity imaging methods use Acoustic Radiation force to transiently deform soft tissues, and the dynamic displacement response of those tissues is measured ultrasonically and is used to estimate the tissue’s mechanical properties. Both qualitative images and quantitative elasticity metrics can be reconstructed from these measured data, providing complimentary information to both diagnose and longitudinally monitor disease progression. Recently, Acoustic Radiation force-based elasticity imaging techniques have moved from the laboratory to the clinical setting, where clinicians are beginning to characterize tissue stiffness as a diagnostic metric, and commercial implementations of Radiation force-based ultrasonic elasticity imaging are beginning to appear on the commercial market. This article provides an overview of Acoustic Radiation force-based elasticity imaging, including a review of the relevant soft tissue material properties, a review of Radiation force-based methods that have been proposed for elasticity imaging, and a discussion of current research and commercial realizations of Radiation force based-elasticity imaging technologies.