Model-Based Iterative Reconstruction for One-Sided Ultrasonic Nondestructive Evaluation

Improving the Ultrasonic Nondestructive Evaluation Signals by Iterative Wiener Filtering

abstract-Signals measured in ultrasonic nondestructive evaluation (NDE) of materials are masked by the characteristics of the measuring instruments, the propagation paths taken by the ultrasonic waves, and noise originating from various sources, including the electrical noise. Due to the band-limited characteristics of ultrasonic transducers, the received echoes are degraded by the transducer i...

Ultrasonic Signal Processing Platform for Nondestructive Evaluation

Model-based, one-sided, time-of-flight terahertz image reconstruction

In the last decade, terahertz-mode imaging has received increased attention for non-destructive testing applications due to its ability to penetrate many materials while maintaining a small wavelength. This paper describes a model-based reconstruction algorithm that is able to image defects in the spray-on foam insulation (SOFI) used in aerospace applications that has been sprayed on a reflecti...

Model-based iterative reconstruction

Realizing this, GE Healthcare has developed a powerful class of new reconstruction techniques designed to explicitly include the modeling of data statistics into the reconstruction. ASiR,* introduced in 2008, fi rst demonstrated the potential of advanced statistical algorithms. In 2011, Veo*§ builds upon the foundation laid by ASiR by now including accurate modeling of X-ray physics and system ...

A Sparse Reconstruction Algorithm for Ultrasonic Images in Nondestructive Testing

Ultrasound imaging systems (UIS) are essential tools in nondestructive testing (NDT). In general, the quality of images depends on two factors: system hardware features and image reconstruction algorithms. This paper presents a new image reconstruction algorithm for ultrasonic NDT. The algorithm reconstructs images from A-scan signals acquired by an ultrasonic imaging system with a monostatic t...