Fei Comapny

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Trond Karsten Varslot

Andrew M Kingston

Adrian Paul Sheppard

Shane Jamie Latham

Glenn Robert Myers

Benoit Recur

Heyang Li

Ondrej R Baco

Martin Schneider

Robert Martin Sok

Mark Alexander Knackstedt

Maarten Kuijper

Tonni Franke Johansen

Bjørn A J Angelsen

Ondrej Ludmil Shanel

Olaf Delgado-Friedrichs

Wilfred Kelsham Fullagar

Mahsa Paziresh

Petr Strelec

Arthur Sakellariou

Václav Batelka

Ondrej L Shánel

Shane Latham

Andrew Maurice Kingston

Methods and systems for generation and use of an accelerated tomographic reconstruction preconditioner (ATRP) for accelerated iterative tomographic reconstruction are disclosed. An example method for generating an ATRP for accelerated iterative tomographic reconstruction includes accessing data for a tomography investigation of a sample and determining a trajectory of the tomography investigation of a sample. At least one toy model sample depicting a feature characteristic of the sample are accessed and at least one candidate preconditioner is selected. A first performance of each of the at least one candidate preconditioner on the one or more toy samples is determined, where the candidate preconditioners are then updated to create updated candidate preconditioners. A second performance of each of the updated candidate preconditioners on the one or more toy samples is determined determining. An ATRP is then generated based on at least the first performance and the second performance.

System and method for accelerated convergence of iterative tomographic reconstruction

A method of investigating a specimen using tomographic imaging, comprising the steps of providing a specimen and a source, directing a beam of radiation from said source to said specimen, and detecting a flux of radiation transmitted through said specimen. The method further comprises the steps of moving at least one of said specimen and said source for providing relative motion of the source with respect to the specimen; and imaging the specimen along a series of different viewing axes, which intersect a virtual reference surface that surrounds the specimen and is substantially centered thereon, wherein said combined steps of moving and imaging generate a sampling geometry on said virtual reference surface. As defined herein, the steps of moving and imaging are coordinated in such a way that said sampling geometry comprises a plurality of spaced apart line segments.

Method of investigating a specimen using a tomographic imaging apparatus

Methods include holding a sample with a movement stage configured to rotate the sample about a rotation axis, directing an imaging beam to a first sample location with the sample at a first rotational position about the rotation axis and detecting a first transmitted imaging beam image, rotating the sample using the movement stage about the rotation axis to a second rotational position, and directing the imaging beam to a second sample location by deflecting the imaging beam in relation to an optical axis of the imaging beam and detecting a second transmitted imaging beam image, wherein the second sample location is spaced apart from the first sample location at least at least in relation to the optical axis. Related systems and apparatus are also disclosed.

Beam trajectory via combination of image shift and hardware alpha tilt

A method of investigating a specimen using a tomographic imaging apparatus comprising:

Acquisition and processing of data in a tomographic imaging apparatus

Apertures having references edges are situated to define a sample irradiation zone and a shielded zone. The sample irradiation zone includes a portion proximate the shielded zone that is conjugate to a detector. A sample is scanned into the sample irradiation zone from the shielded zone so that the sample can remain unexposed until situated properly with respect to the detector for imaging. Irradiation exposure of the sample is reduced, permitting superior imaging.

Illumination apertures for extended sample lifetimes in helical tomography

Methods and apparatuses are disclosed herein to correct for inconsistencies in CT scans based on pi-lines. An example method at least includes acquiring a plurality of projections of a sample, each projection of the plurality of projections acquired at a different location around the sample based on a trajectory, determining pairs of opposing projections from the plurality of projections based on a respective pi-line, and determining an amount of inconsistency between respective pi-line data for each pair of opposing projections, where the pi-line data is based, at least in part, on attenuation data.

Geometric alignment, sample motion correction, and intensity normalization of computed tomography projections using pi-line optimization

A method of analyzing a specimen using X-rays, comprising the steps of:

Statistical analysis in X-ray imaging

A method of investigating a specimen using a tomographic imaging apparatus using a stage for producing relative motion of a source with respect to a specimen, so as to allow the source and a detector to image the specimen along a series of different viewing axes and a processing apparatus for assembling a tomographic image of at least part of the specimen. The investigation is carried out by considering a virtual reference surface that surrounds the specimen and is substantially centered thereon, considering an incoming point of intersection of each of said viewing axes with this reference surface, thereby generating a set of such intersection points corresponding to the series of viewing axes, choosing discrete viewing axes in the series so as to cause the set to comprise a two-dimensional lattice of points located areally on the reference surface in a substantially uniform distribution.

A method for investigating a specimen using a tomographic imaging apparatus, comprising acquiring a set of input images of the specimen taken at a corresponding set of source positions that are intended to lie on an ideal locus but are instead caused by positioning errors to lie on a distorted locus, using the images to construct an initial tomographic image, dissociating the initial tomographic image into a set of reference images referenced to said ideal locus, comparing the given input images to the corresponding reference images, calculating a set of transformations necessary to map the input images onto the reference images, and using the set of transformations to construct a modified tomographic image.

Positional error correction in a tomographic imaging apparatus

A method for processing image data of a sample is disclosed. The method comprises registering a first and a second images of at least partially overlapping spatial regions of the sample and processing data from the registered images to obtain integrated image data comprising information about the sample, said information being additional to that available from said first and second images.

Image data processing

A computed tomography imaging process, including: acquiring projection images of an object by detecting radiation that has passed through the object for respective different relative orientations of the object and the radiation; and processing the projection images to generate a tomogram of the object; wherein the radiation passes through the object in the form of a diverging beam, and the different relative orientations of the object and the beam of radiation define two or more complete trajectories of the beam along the object, the complete trajectories being mutually offset to reduce the degradation of spatial resolution in portions of the generated tomogram due to the divergence of the beam through the object.

Computed tomography imaging process and system

Disclosed is a method of reconstructing a multi-dimensional data set representing a dynamic sample at a series of reconstruction instants. The multi-dimensional data set comprises a static component and a dynamic component. The method comprises acquiring a plurality of projection images of the dynamic sample; reconstructing a static component of the multi-dimensional data set from the acquired projection images; acquiring a further plurality of projection images of the dynamic sample; and reconstructing a dynamic component of the multi-dimensional data set at each reconstruction instant from the further plurality of acquired projection images using a priori information about the sample. The multi-dimensional data set is the sum of the static component and the dynamic component at each reconstruction instant.

Reconstruction of dynamic multi-dimensional image data

A computed tomography imaging process, including: accessing projection data representing two-dimensional projection images of an object acquired using a misaligned tomographic imaging apparatus; and processing the projection data to generate misalignment data representing one or more values that quantify respective misalignments of the tomographic imaging apparatus.

An estimation method for correction filters for wavefront aberration correction in ultrasound imaging is given. The aberration is introduced due to spatial variations of the ultrasound propagation velocity in heterogeneous tissue. The correction filters are found as eigenvectors of the cross-correlation matrix of the element signals. In particular, the eigenvectors with a small spatial linear/plane phase component is sought. Detailed methods for calculating the eigenvectors are given.

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Vuku, Norway

Trond Karsten Varslot