University of Central Florida Research Foundation, Inc.

Itomography Corporation

Baker Hughes Corporation

Western Atlas International, Inc.

Canon Medical Systems Corporation

Perkinelmer Health Sciences, Inc.

Michael A Frenkel

Alexander Katsevich

Alberto G Mezzatesta

Ingo M Geldmacher

Igor Frenkel

Zhou Yu

Xiaoming Tang

Kurt-M Strack

Seongjin Yoon

Victor Prieto

Jeff Meganck

Keeva Vozoff

In various embodiments, the present invention provides an improved system and method for motion estimation and motion compensation in cone beam computer tomography (CBCT). The present invention utilizes a method for alternating minimization between volume and motion sub-iterations and results in an improved system and method for motion estimation and compensation in CBCT.

Motion estimation and compensation in cone beam computed tomography (CBCT)

An improved system and method for estimating and compensating for motion by reducing motion artifacts produced during image reconstruction from helical computed tomography (CT) scan data. In a particular embodiment, the reconstruction may be based on helical partial angle reconstruction (PAR) and the registration may be performed utilizing one or more artificial intelligence (AI) based methods.

System and method for motion estimation using artificial intelligence in helical computed tomography

Described herein are systems and methods for automated completion, combination, and completion by combination of sinograms. In certain embodiments, sinogram completion is based on a photographic (e.g. spectral or optical) acquisition and a CT acquisition (e.g., micro CT). In other embodiments, sinogram completion is based on two CT acquisitions. The sinogram to be completed may be truncated due to a detector crop (e.g., a center-based crop or an offset based crop). The sinogram to be completed may be truncated due to a subvolume crop (e.g., based on low resolution image projected onto sinogram).

Systems and methods for automated sinogram completion, combination, and completion by combination

An improved system and method for estimating and compensating for motion by reducing motion artifacts produced during image reconstruction from helical computed tomography (CT) scan data. In a particular embodiment, the reconstruction may be based on helical partial angle reconstruction (PAR).

System and method for motion estimation and compensation in helical computed tomography

Systems, apparatus and methods for collecting, storing, processing, reconstructing, and interpreting raw scan data from a medical diagnostic imaging scan. Raw data after a scan such as a Computed Tomography (CT) scan is sent to a raw scan database system and image reconstruction system, where image volumes are reconstructed using software from the software bank and sent to a data management system. Raw scan data generated once by a scanner is continuously used at later times to reconstruct images of the patient without having to perform additional patient scans.

Systems, apparatus and methods for collecting and storing raw scan data and software for performing data processing, image reconstruction and interpretation

Methods, processes and systems of image reconstruction utilizing a hybrid local tomography (HLT) methodology for reconstructing internal body images in medical applications, and the like. The system and method of the present invention provides an image with emphasized edges, and the image provides estimations of the attenuation coefficient inside the object being scanned.

System and method for hybrid local tomography image reconstruction

Methods, processes and systems of image reconstruction using variable filter length local tomography, for reconstructing internal body images in medical applications, and the like. The system and method of the present invention utilizes less radiation and less computer power than the prior art, without using iteration algorithms so that all target sizes from large to small can be reconstructed.

System and method of variable filter length local tomography

Methods, processes and systems of image reconstruction using variable filter length local tomography, for reconstructing internal body images in medical applications, and the like. Algorithm uses less radiation, less computer power than prior art, and without using iteration algorithms so that all target sizes from large to small can be reconstructed.

Variable filter length local tomography

A system and a method for estimating a model of a geological formation are provided. The geological formation has a wellbore extending therethrough. The method includes obtaining a first resistivity log associated with the geological formation from a LWD sensor in the wellbore. The method further includes obtaining a second resistivity log associated with the geological formation from a WL sensor in the wellbore. The method further includes calculating a plurality of horizontal resistivity values associated with the geological formation by utilizing a first inversion technique and the first resistivity log. The method further includes obtaining a plurality of invaded zone resistivity values obtained from a micro-resistivity measurement device in the WL sensor. The method further includes calculating a plurality of invaded zone thickness values proximate the wellbore by utilizing a second inversion technique and the second resistivity log.

System and method for determining a more accurate resistivity model of a geological formation using time-lapse well logging data

A method and apparatus for real-time well-site interpretation of array resistivity log data. An inversion of data with different depths of investigation is carried out after data shoulder-bed correction. The formation model used by inversion is constructed with the layer boundaries obtained from an imaging tool or other log measurements.

Method for real-time well-site interpretation of array resistivity log data in vertical and deviated wells

Different subsets of multiarray resistivity measurements are inverted using a corresponding resistivity model. The models are selected based at least in part on the resolution of the measurements. Results of the inversion are combined to give a single model consistent with the resolution and depth of penetration of each subset of the multiarray data.

Multiscale multidimensional well log data inversion and deep formation imaging method

A method is disclosed for real-time (well-site) resistivity anisotropy determination using array lateral logs or any other unfocused, lateral-type measurements, and array induction logs or any other focused, induction-type measurements. Near-vertical wells with a deviation angle of less than 30 degrees are considered. Since with a lateral log, at each logging depth the injected current has both horizontal and vertical components, the data contains information related to both horizontal (R) and vertical (R) resistivities. With array induction tool, the induced current in near-vertical wells has only a horizontal component, and the induction data contain information related to Ronly. Having those two data sets acquired in the same well, it is possible to instantly estimate the formation resistivity anisotropy using square of a ratio between borehole and invasion corrected lateral and induction focused logs.

Method for resistivity anisotropy determination in near vertical wells

A method for determining formation resistivity anisotropy in a wellbore environment. The method of the present invention effectively extends the dynamic range of the existing well logging service of the multi-component induction tool, allowing the use of this service in wells drilled with conductive WBM systems. A sequential inversion processing of galvanic array lateral log HDLL/MLL data or DLL/MLL and also multi-component induction log (3DEX) data is used. The formation resistivity structure of the near wellbore environment is determined using the galvanic measurements of the array lateral log tool. The formation resistivity anisotropy of the undisturbed zone is determined using the result of the inversion of the galvanic array data and inversion of measurements of the multi-component induction tool

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Houston, TX, United States of America

Michael A Frenkel