The University of Arizona
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Sparsity-based techniques for hybrid imaging modalities with missing low frequencies

Sparsity in Imaging

Sparsity-based techniques for hybrid imaging modalities with missing low frequencies
Series: Sparsity in Imaging
Seminar
Location: Department of Electrical & Computer Engineering ECE 530
Presenter: Leonid Kunyansky, University of Arizona

Several novel hybrid imaging modalities rely on propagating sound waves to deliver spatial information about the properties of the object. Traditional image reconstruction techniques assume that an infinitely wide range of acoustic wavelengths is available. However, commonly utilized piezoelectric transducers emit/receive only a narrow band of frequencies, with both very long and very short wavelengths missing. This leads to a strong distortion in the reconstructed images. We will investigate the use of sparsity-enforcing techniques (such as, for example, L1-regularization) to overcome this problem. (Joint work with N.Do and P.Hoskins)

 

(PLEASE NOTE THE NEW LOCATION: ECE 530)