Erratum to "Optimum two-dimensional uniform spatial sampling for microwave SAR-based NDE imaging systems" [Dec 11 3816-3815]

2013 ◽  
Vol 62 (6) ◽  
pp. 1865-1865
Author(s):  
J.T. Case ◽  
M.T. Ghasr ◽  
R. Zoughi
Keyword(s):  
Spatial Sampling ◽  
Imaging Systems ◽  
Two Dimensional

scholarly journals Design of Ultrasonic Synthetic Aperture Imaging Systems Based on a Non-Grid 2D Sparse Array

Sensors ◽  
2021 ◽  
Vol 21 (23) ◽  
pp. 8001
Author(s):  
Júlio Cesar Eduardo de Souza ◽  
Montserrat Parrilla Romero ◽  
Ricardo Tokio Higuti ◽  
Óscar Martínez-Graullera
Keyword(s):  
Experimental Data ◽  
Imaging System ◽  
Computational Cost ◽  
Imaging Systems ◽  
Synthetic Aperture ◽  
Two Dimensional ◽  
System Complexity ◽  
Sparse Arrays ◽  
Sparse Array ◽  
Spiral Array

This work provides a guide to design ultrasonic synthetic aperture systems for non-grid two-dimensional sparse arrays such as spirals or annular segmented arrays. It presents an algorithm that identifies which elements have a more significant impact on the beampattern characteristics and uses this information to reduce the number of signals, the number of emitters and the number of parallel receiver channels involved in the beamforming process. Consequently, we can optimise the 3D synthetic aperture ultrasonic imaging system for a specific sparse array, reducing the computational cost, the hardware requirements and the system complexity. Simulations using a Fermat spiral array and experimental data based on an annular segmented array with 64 elements are used to assess this algorithm.

scholarly journals FPGA-based two-dimensional matched filter design for vein imaging systems

2021 ◽  
pp. 1-1
Author(s):  
Wenxin Xiang ◽  
Deliang Li ◽  
Jiabing Sun ◽  
Jiawei Liu ◽  
Guowei Zhou ◽  
...  
Keyword(s):  
Filter Design ◽  
Matched Filter ◽  
Imaging Systems ◽  
Two Dimensional ◽  
Vein Imaging

An Automatic Calculation Method of MTF and the Application in Blurred Images Restoration

2015 ◽  
Vol 731 ◽  
pp. 141-146 ◽  
Author(s):  
Yuan Yuan ◽  
Yao Hua Yi ◽  
Min Jing Miao
Keyword(s):  
Calculation Method ◽  
Modulation Transfer Function ◽  
Imaging Systems ◽  
Wiener Filtering ◽  
Two Dimensional ◽  
Modulation Transfer ◽  
Comprehensive Index ◽  
Edge Method ◽  
Blurred Images

Modulation transfer function (MTF) is a comprehensive index for the objective reflection of the quality of the imaging systems. In the field of image processing, the slanted-edge method is usually adopted to compute MTF for images. However, the sub-images with slanted edges are extracted from original image by subjective judgment and manually operation, which is bound to lead to inefficiency of calculation, low accuracy and instability of results with the participation of humans. Aiming at the above problem, this paper presents an automatic MTF calculation method for blurred images and applies it to the process of image restoration by developing a two-dimensional MTF filter and utilizing it into conventional restoration methods such as the Wiener filtering, least squares filtering and Lucy-Richardson algorithm. Experiment results indicate the proposed method achieved an automatic, fast and accurate MTF computation for blurred images, and MTF-based restoration methods were superior to traditional ones in restoration effects.

scholarly journals Three-dimensional ultrasound scanning

2011 ◽  
Vol 1 (4) ◽  
pp. 503-519 ◽  
Author(s):  
Aaron Fenster ◽  
Grace Parraga ◽  
Jeff Bax
Keyword(s):  
Carotid Atherosclerosis ◽  
Imaging Techniques ◽  
Three Dimensional ◽  
Cost Effective ◽  
Imaging Systems ◽  
Two Dimensional ◽  
Effective Technique ◽  
The Past ◽  
Cost Effective Technique ◽  
Three Dimensional Images

The past two decades have witnessed developments of new imaging techniques that provide three-dimensional images about the interior of the human body in a manner never before available. Ultrasound (US) imaging is an important cost-effective technique used routinely in the management of a number of diseases. However, two-dimensional viewing of three-dimensional anatomy, using conventional two-dimensional US, limits our ability to quantify and visualize the anatomy and guide therapy, because multiple two-dimensional images must be integrated mentally. This practice is inefficient, and may lead to variability and incorrect diagnoses. Investigators and companies have addressed these limitations by developing three-dimensional US techniques. Thus, in this paper, we review the various techniques that are in current use in three-dimensional US imaging systems, with a particular emphasis placed on the geometric accuracy of the generation of three-dimensional images. The principles involved in three-dimensional US imaging are then illustrated with a diagnostic and an interventional application: (i) three-dimensional carotid US imaging for quantification and monitoring of carotid atherosclerosis and (ii) three-dimensional US-guided prostate biopsy.

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