Searched for: contributor%3A%22Ruppel%2C+Clemens+%28editor%29%22
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Paridar, Roya (author), Mozaffarzadeh, M. (author), Basij, Maryam (author), Mehrmohammadi, Mohammad (author), Orooji, Mahdi (author)
Delay-and-Sum (DAS), as a non-adaptive beamforming method, is one of the most common algorithms used in Photoacoustic imaging due to its simple implementation. The results obtained from this algorithm suffer from low resolution and high sidelobes. The adaptive Minimum variance (MV) method improves the image quality compared to DAS in terms of...
conference paper 2018
document
Fool, F. (author), de Wit, J. (author), Vos, H.J. (author), Bera, D. (author), de Jong, N. (author), Verweij, M.D. (author)
The huge amount of data that needs to be transferred between probe and imaging system becomes a major issue when the data transfer capacity is limited, e.g. in handheld systems, wireless probes and miniaturized probes. The amount of data can be significantly reduced by using two-stage beamforming. The first stage consists of a fixed focus...
conference paper 2018
document
Koekkoek, S. K.E. (author), Soloukeytbalvandany, S. (author), Generowicz, B.S. (author), Vanhoogstraten, W. S. (author), Deoude, N. L. (author), Boele, H. J. (author), Strydis, C. (author), Leus, G.J.T. (author), De Zeeuw, C. I. (author)
Functional ultrasound (fUS) is a relatively new imaging modality to study the brain with a high spatiotemporal resolution and a wide field-of-view. In fUS detailed images of cerebral blood flow and volume are used to derive functional information, as changes in local flow and/or volume may reflect neuronal activation through neurovascular...
conference paper 2018
document
Generowicz, B.S. (author), Leus, G.J.T. (author), Tbalvandanv, S. Soloukey (author), Van Hoogstraten, W. S. (author), Strvdis, C. (author), Bosch, J. G. (author), van der Steen, A.F.W. (author), De Zeeuwl, C. I. (author), Koekkoek, S. K.E. (author), Kruizinga, P. (author)
Current methods to measure blood flow using ultrafast Doppler imaging often make use of a Singular Value Decomposition (SVD). The SVD has been shown to be an effective way to remove clutter signals associated with slow moving tissue. Conventionally, the SVD is calculated from an ensemble of frames, after which the first dominant eigenvectors...
conference paper 2018
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