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About this Abstract
Meeting	2021 TMS Annual Meeting & Exhibition
Symposium	Characterization of Materials through High Resolution Imaging
Presentation Title	Optimization Based Approach for 3D Alignment in X-ray Nano-tomography
Author(s)	Kanupriya Pande
On-Site Speaker (Planned)	Kanupriya Pande
Abstract Scope	The goal of tomography is to reconstruct an unknown 3D object from a series of 2D projections that are acquired as the object is rotated about one or more axes. As the resolution of tomography X-ray microscopes improves, calibration errors such as offsets of the X-rays and undesired wobble of the rotation stage result in a loss of spatial resolution and an enhancement of image artifacts. Here we present an algorithmic approach to correct misalignments in tomographic data that alternates between a reconstruction step based on regularized iterative algorithms, and an alignment step based on non-linear least squares optimization. We discuss strategies to avoid local minima, and demonstrate the performance of the algorithm on simulated and measured datasets.
Proceedings Inclusion?	Planned:

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