29,788 research outputs found
Automatic alignment for three-dimensional tomographic reconstruction
In tomographic reconstruction, the goal is to reconstruct an unknown object
from a collection of line integrals. Given a complete sampling of such line
integrals for various angles and directions, explicit inverse formulas exist to
reconstruct the object. Given noisy and incomplete measurements, the inverse
problem is typically solved through a regularized least-squares approach. A
challenge for both approaches is that in practice the exact directions and
offsets of the x-rays are only known approximately due to, e.g. calibration
errors. Such errors lead to artifacts in the reconstructed image. In the case
of sufficient sampling and geometrically simple misalignment, the measurements
can be corrected by exploiting so-called consistency conditions. In other
cases, such conditions may not apply and we have to solve an additional inverse
problem to retrieve the angles and shifts. In this paper we propose a general
algorithmic framework for retrieving these parameters in conjunction with an
algebraic reconstruction technique. The proposed approach is illustrated by
numerical examples for both simulated data and an electron tomography dataset
Practical characterization of quantum devices without tomography
Quantum tomography is the main method used to assess the quality of quantum
information processing devices, but its complexity presents a major obstacle
for the characterization of even moderately large systems. The number of
experimental settings required to extract complete information about a device
grows exponentially with its size, and so does the running time for processing
the data generated by these experiments. Part of the problem is that tomography
generates much more information than is usually sought. Taking a more targeted
approach, we develop schemes that enable (i) estimating the fidelity of an
experiment to a theoretical ideal description, (ii) learning which description
within a reduced subset best matches the experimental data. Both these
approaches yield a significant reduction in resources compared to tomography.
In particular, we demonstrate that fidelity can be estimated from a number of
simple experimental settings that is independent of the system size, removing
an important roadblock for the experimental study of larger quantum information
processing units.Comment: (v1) 11 pages, 1 table, 4 figures. (v2) See also the closely related
work: arXiv:1104.4695 (v3) method extended to continuous variable systems
(v4) updated to published versio
Insight into the fundamental trade-offs of diffusion MRI from polarization-sensitive optical coherence tomography in ex vivo human brain
In the first study comparing high angular resolution diffusion MRI (dMRI) in the human brain to axonal orientation measurements from polarization-sensitive optical coherence tomography (PSOCT), we compare the accuracy of orientation estimates from various dMRI sampling schemes and reconstruction methods. We find that, if the reconstruction approach is chosen carefully, single-shell dMRI data can yield the same accuracy as multi-shell data, and only moderately lower accuracy than a full Cartesian-grid sampling scheme. Our results suggest that current dMRI reconstruction approaches do not benefit substantially from ultra-high b-values or from very large numbers of diffusion-encoding directions. We also show that accuracy remains stable across dMRI voxel sizes of 1 ​mm or smaller but degrades at 2 ​mm, particularly in areas of complex white-matter architecture. We also show that, as the spatial resolution is reduced, axonal configurations in a dMRI voxel can no longer be modeled as a small set of distinct axon populations, violating an assumption that is sometimes made by dMRI reconstruction techniques. Our findings have implications for in vivo studies and illustrate the value of PSOCT as a source of ground-truth measurements of white-matter organization that does not suffer from the distortions typical of histological techniques.Published versio
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