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Acoustical Imaging: Volume 28 (Acoustical Imaging) by Michael P. Andre PDF

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By Michael P. Andre

ISBN-10: 1402057202

ISBN-13: 9781402057205

Because 1968, the overseas Acoustical Imaging Symposium has supplied a special discussion board for complicated study, selling the sharing of expertise, advancements, equipment and conception between all parts of acoustics. quantity 28 of the complaints deals a superb selection of papers awarded in six significant different types, delivering either a large viewpoint at the cutting-edge within the box in addition to an in-depth examine its innovative examine.

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Extra resources for Acoustical Imaging: Volume 28 (Acoustical Imaging)

Sample text

After scanning in the acoustic microscope, the embryos have been dissected and examined with a light microscope, with x20 magnification. 3. RESULTS AND DISCUSSION In the left part of Fig. 1 there is an acoustical image, called B-scan that corresponds to the image of the surface of the slice performed through the head of the 7-day quail embryo in one plane with the acoustic lens axis. At the B-scan one is able to determine the form of eyeballs, sclera and retina thickness. The width of the image corresponds to the transversal dimension of the embryo’s head in millimeters, and the height of the image corresponds to the depth of the “acoustical cut” in microseconds.

The investigation has been conducted with short focused ultrasound signal, using a frequency 50 MHz that provides lateral resolution of about 30 microns and depth of ultrasound penetration up to 10 millimeters. After scanning in the acoustic microscope, the embryos have been dissected and examined with a light microscope, with x20 magnification. 3. RESULTS AND DISCUSSION In the left part of Fig. 1 there is an acoustical image, called B-scan that corresponds to the image of the surface of the slice performed through the head of the 7-day quail embryo in one plane with the acoustic lens axis.

Relation between the autocorrelation function and synthetic images. We used Fourier transform based autocorrelation estimation where R(m, n) = F −1[S (kx, ky )]   S (kx, ky ) = I (kx, ky ) I * (kx, ky )  I (kx, ky ) = F [ I ( x, y )] In the above equations I(x,y) denotes the image intensity, while F and F-1 denote the forward and inverse Fourier transforms. The 2-d Fourier  transform of the image I(x,y) is denoted by I ( kx , ky ) where kx, ky are the spatial wavenumbers in the Fourier domain.

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Acoustical Imaging: Volume 28 (Acoustical Imaging) by Michael P. Andre


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