An Inverse Approach for Ultrasonic Imaging From Full Matrix Capture Data: Application to Resolution Enhancement in NDT.

In the context of nondestructive testing (NDT), this article proposes an inverse problem approach for the reconstruction of high-resolution ultrasonic images from full matrix capture (FMC) data sets. We build a linear model that links the FMC data, i.e.

Fundamental wave amplitude difference imaging for detection and characterization of embedded cracks.

An ultrasonic technique for imaging nonlinear scatterers, such as partially-closed cracks, buried in a medium has been recently proposed. The method called fundamental wave amplitude difference (FAD) consists of a sequence of acquisitions with different subsets of elements for each line of the image. An image revealing nonlinear scatterers in the medium is reconstructed line by line by subtracting the responses measured with the subsets of elements from the response obtained with all elements transmitting.

A linear model approach for ultrasonic inverse problems with attenuation and dispersion.

Ultrasonic inverse problems such as spike train deconvolution, synthetic aperture focusing, or tomography attempt to reconstruct spatial properties of an object (discontinuities, delaminations, flaws, etc.) from noisy and incomplete measurements. They require an accurate description of the data acquisition process.

Rangewide variation of the maritime pine bast scale matsucoccus feytaudi duc. (Homoptera: matsucoccidae) in relation to the genetic structure of its host.

The bast scale Matsucoccus feytaudi is a specific pest of maritime pine, but the damage inflicted by the insect on the host trees is variable, ranging from no apparent effect to severe decline of the maritime pine stands. Rangewide variation of mitochondrial DNA among M. feytaudi populations was analysed by polymerase chain reaction-restriction fragment length-single-strand conformation polymorphism (PCR-RFLP-SSCP) analysis and the results compared with the genetic information already available for its host.