DLL-Based Transmit Beamforming IC for High -Frequency Ultrasound Medical Imaging System

Author(s):  
Duo Sheng ◽  
Chih-Hao Liu ◽  
Sih-Ying Chen ◽  
Bin-Yang Song ◽  
Ying-Chi Chiu ◽  
...  
2020 ◽  
Author(s):  
Azaam Aziz ◽  
Joost Holthof ◽  
Sandra Meyer ◽  
Oliver G. Schmidt ◽  
Mariana Medina-Sánchez

AbstractThe fast evolution of medical micro- and nanorobots in the endeavor to perform non-invasive medical operations in living organisms boosted the use of diverse medical imaging techniques in the last years. Among those techniques, photoacoustic (PA) tomography has shown to be promising for the imaging of microrobots in deep-tissue (ex vivo and in vivo), as it possesses the molecular specificity of optical techniques and the penetration depth of ultrasound imaging. However, the precise maneuvering and function control of microrobots, in particular in living organisms, demand the combination of both anatomical and functional imaging methods. Therefore, herein, we report the use of a hybrid High-Frequency Ultrasound (HFUS) and PA imaging system for the real-time tracking of magnetically driven micromotors (single and swarms) in phantoms, ex vivo, and in vivo (in mice bladder and uterus), envisioning their application for targeted drug-delivery.


2017 ◽  
pp. 337-364
Author(s):  
Insoo Kim ◽  
Hyunsoo Kim ◽  
Flavio Griggio ◽  
Richard L. Tutwiler ◽  
Thomas N. Jackson ◽  
...  

2017 ◽  
pp. 217-252
Author(s):  
Insoo Kim ◽  
Hyunsoo Kim ◽  
Flavio Griggio ◽  
Richard L. Tutwiler ◽  
Thomas N. Jackson ◽  
...  

2018 ◽  
Vol 141 (1) ◽  
Author(s):  
John J. Boyle ◽  
Arvin Soepriatna ◽  
Frederick Damen ◽  
Roger A. Rowe ◽  
Robert B. Pless ◽  
...  

Quantifying dynamic strain fields from time-resolved volumetric medical imaging and microscopy stacks is a pressing need for radiology and mechanobiology. A critical limitation of all existing techniques is regularization: because these volumetric images are inherently noisy, the current strain mapping techniques must impose either displacement regularization and smoothing that sacrifices spatial resolution, or material property assumptions that presuppose a material model, as in hyperelastic warping. Here, we present, validate, and apply the first three-dimensional (3D) method for estimating mechanical strain directly from raw 3D image stacks without either regularization or assumptions about material behavior. We apply the method to high-frequency ultrasound images of mouse hearts to diagnose myocardial infarction. We also apply the method to present the first ever in vivo quantification of elevated strain fields in the heart wall associated with the insertion of the chordae tendinae. The method shows promise for broad application to dynamic medical imaging modalities, including high-frequency ultrasound, tagged magnetic resonance imaging, and confocal fluorescence microscopy.


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