Development of a Wireless and Near Real-Time 3D Ultrasound Strain Imaging System

2016 ◽  
Vol 10 (2) ◽  
pp. 394-403 ◽  
Author(s):  
Zhaohong Chen ◽  
Yongdong Chen ◽  
Qinghua Huang
Author(s):  
Shreya Das ◽  
Hendrik H.G. Hansen ◽  
Gijs A.G.M. Hendriks ◽  
Frieda van den Noort ◽  
Claudia Manzini ◽  
...  

2017 ◽  
Vol 2017 ◽  
pp. 1-20 ◽  
Author(s):  
Qinghua Huang ◽  
Zhaozheng Zeng

Real-time three-dimensional (3D) ultrasound (US) has attracted much more attention in medical researches because it provides interactive feedback to help clinicians acquire high-quality images as well as timely spatial information of the scanned area and hence is necessary in intraoperative ultrasound examinations. Plenty of publications have been declared to complete the real-time or near real-time visualization of 3D ultrasound using volumetric probes or the routinely used two-dimensional (2D) probes. So far, a review on how to design an interactive system with appropriate processing algorithms remains missing, resulting in the lack of systematic understanding of the relevant technology. In this article, previous and the latest work on designing a real-time or near real-time 3D ultrasound imaging system are reviewed. Specifically, the data acquisition techniques, reconstruction algorithms, volume rendering methods, and clinical applications are presented. Moreover, the advantages and disadvantages of state-of-the-art approaches are discussed in detail.


2002 ◽  
Vol 24 (3) ◽  
pp. 161-176 ◽  
Author(s):  
Yanning Zhu ◽  
Timothy J. Hall

This manuscript reports a technical innovation that has been developed for real-time, freehand strain imaging. This work is based on a well-known block-matching algorithm with two significant modifications. First, since displacements are estimated row-by-row, displacement estimates from the previous row are used to predict the displacement estimates in the current row, thereby drastically reducing the search-region size and increasing computational efficiency. Second, a displacement error detection and correction method is developed to overcome the local tracking errors that may be more severe with freehand scanning and thereby improve the robustness of the algorithm. This algorithm has been implemented on a clinical ultrasound imaging system, and with real-time imaging feedback, long sequences of high quality strain images are observed using freehand compression. Displacement estimation errors with this method are experimentally measured and compared with results from simulation. We report only a specific implementation, with no comparison to other displacement estimators in the literature and no optimization of this specific technique. Images of tissue-mimicking phantoms with small spherical targets are used to test the ability to detect small lesions using the strain imaging technique. In vivo strain images of breast and thyroid are also shown.


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