2,130 research outputs found
The average singular value of a complex random matrix decreases with dimension
We obtain a recurrence relation in for the average singular value of a complex valued \ matrix with
random i.i.d., N( 0,1) entries, and use it to show that decreases
monotonically with to the limit given by the Marchenko-Pastur
distribution.\ The monotonicity of has been recently conjectured
by Bandeira, Kennedy and Singer in their study of the Little Grothendieck
problem over the unitary group \cite{BKS}, a combinatorial
optimization problem. The result implies sharp global estimates for , new bounds for the expected minimum and maximum singular values, and a
lower bound for the ratio of the expected maximum and the expected minimum
singular value. The proof is based on a connection with the theory of Tur\'{a}n
determinants of orthogonal polynomials. We also discuss some applications to
the problem that originally motivated the conjecture.Comment: 11 page
Simultaneous control of volumetric light distribution through turbid media using real-time three-dimensional optoacoustic feedback
Focusing light through turbid media presents a highly fascinating challenge
in modern biophotonics. The unique capability of optoacoustics for high
resolution imaging of light absorption contrast in deep tissues can provide a
natural and efficient feedback to control light delivery in scattering medium.
While basic feasibility of using optoacoustic readings as a feedback mechanism
for wavefront shaping has been recently reported, the suggested approaches may
require long acquisition times making them challenging to be translated into
realistic tissue environments. In an attempt to significantly accelerate
dynamic wavefront shaping capabilities, we present here a feedback-based
approach using real-time three-dimensional optoacoustic imaging assisted with
genetic-algorithm-based optimization. The new technique offers robust
performance in the presence of noisy measurements and can simultaneously
control the scattered wave field in an entire volumetric region.Comment: 4 pages, 3 figure
A -linear analogue of the plane wave expansion
We obtain a -linear analogue of Gegenbauer's expansion of the plane wave.
It is expanded in terms of the little -Gegenbauer polynomials and the
\textit{third} Jackson -Bessel function. The result is obtained by using a
method based on bilinear biorthogonal expansions.Comment: 12 pages, to appear in Adv. in Appl. Math. arXiv admin note: text
overlap with arXiv:0909.006
Visual Quality Enhancement in Optoacoustic Tomography using Active Contour Segmentation Priors
Segmentation of biomedical images is essential for studying and
characterizing anatomical structures, detection and evaluation of pathological
tissues. Segmentation has been further shown to enhance the reconstruction
performance in many tomographic imaging modalities by accounting for
heterogeneities of the excitation field and tissue properties in the imaged
region. This is particularly relevant in optoacoustic tomography, where
discontinuities in the optical and acoustic tissue properties, if not properly
accounted for, may result in deterioration of the imaging performance.
Efficient segmentation of optoacoustic images is often hampered by the
relatively low intrinsic contrast of large anatomical structures, which is
further impaired by the limited angular coverage of some commonly employed
tomographic imaging configurations. Herein, we analyze the performance of
active contour models for boundary segmentation in cross-sectional optoacoustic
tomography. The segmented mask is employed to construct a two compartment model
for the acoustic and optical parameters of the imaged tissues, which is
subsequently used to improve accuracy of the image reconstruction routines. The
performance of the suggested segmentation and modeling approach are showcased
in tissue-mimicking phantoms and small animal imaging experiments.Comment: Accepted for publication in IEEE Transactions on Medical Imagin
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