Eastman-kodak Company

Carestream Health, Inc.

Other

Carestream Dental Technology Topco Limited

Carestream Dental LLC

Jay S Schildkraut

Michael Scozzafava

Jean-Marc Inglese

Douglas Robert Robello

David J Williams

Lawrence Allen Ray

Christopher B Rider

Joseph F Revelli, Jr

Krishnamoorthy Subramanyan

Shoupu Chen

Thomas L Penner

Kevin Edward Spaulding

Rodney L Miller

Ralph H Young

Sanwal P Sarraf

Robert T Gray

Vincent Loustauneau

Craig S Willand

Alan C Nutt

Chih-Li Chuang

David A Roberts

Phat T Dao

Andrew Charles Gallagher

Jiebo Luo

Edward B Gindele

Robert James Perry

Victor C Wong

John Gasper

Eric J Lim

Timothy John Wojcik

David R Cok

Dennis G Howe

Mark D Bedzyk

Nathan D Cahill

John Patrick Spence

Robert Allen Senn

Sreeram Dhurjaty

Michael D Heath

Nancy J Armstrong

Edward R Shellard

Eric T Prince

Abraham Ulman

Edward J Urankar

Joseph P DiVincenzo

Quinton Lamar Sowell

Subramanyan Krishnamoorthy

Brette Luck

Victor Wong

A method for geometric calibration of a volume imaging apparatus disposes calibration phantom in a radiation path that includes a subject positioned between an x-ray source and a detector. The phantom has a number of radio-opaque markers formed of a marker material. In a repeated sequence, at each of a number of positional relationships of the x-ray source to the detector: 2D projection image data is acquired for the subject and the phantom, wherein the 2D projection image data distinguishes at least first and second x-ray energy distributions; source-to-detector geometry of the imaging apparatus is calculated, corresponding to the acquired 2D projection image data for the first and second x-ray energy distributions. The method reconstructs and displays a 3D volume image of the subject according to acquired anatomy image data from the subject and source-to-detector geometry within the 2D projection images.

Geometric calibration marker detection in spectral tomosynthesis system

An intraoral tomosynthesis imaging apparatus having an intraoral detector coupled to a frame or radio-opaque marker attached to its radiation facing surface without any frame attached, wherein the frame defines a target aperture for an incident radiation beam. An enclosure seats against the target aperture and houses at least one x-ray source configured to emit a radiation beam from each of a plurality of focal points within the enclosure A collimator is disposed to form a collimated radiation beam and direct the collimated beam through the target aperture and to the detector. A geometric calibration phantom having a plurality of radio-opaque markers is disposed in the path of the collimated beam. This arrangement is modified to operate as a regular intraoral imaging device by accommodating a high-power central source at the same or different distances as other sources from the detector and displacing the phantom from the field of view.

Movable and static collimators and x-ray source arrangements for intraoral tomosynthesis

An intraoral imaging apparatus for tomosynthesis imaging has an x-ray source having a primary collimator that defines boundaries of a radiation field. A transport apparatus translates the x ray source along a path for tomographic imaging. An intraoral x-ray detector defines an imaging area for the radiation field. A positioning apparatus correlates the position of the intraoral detector to the position of a secondary collimator. One or more radio-opaque markers provided on a detector attachment is coupled to the detector, the one or more markers configured to condition acquired x-ray images to relate the spatial position of the intraoral x-ray detector to the x-ray source position, wherein the one or more markers are disposed within the defined imaging area. A control logic processor accepts image data from the detector and determines the relative location of the source with respect to the detector according to detected marker position.

Dental chair-side tomosynthesis system

The present disclosure describes methods for calibrating a spectral X-ray system to perform material decomposition with a single scan of an energy discriminating detector or with a single scan at each used X-ray spectrum. The methods may include material pathlengths exceeding the size of the volume reconstructable by the system. Example embodiments include physical and matching calibration phantoms. The physical calibration phantom is used to measure the attenuation of X-rays passing therethrough with all combinations of pathlengths through the calibration's basis materials. The matching digital calibration phantom is registered with the physical calibration phantom and is used to calculate the pathlength though each material for each measured attenuation value. A created data structure includes the X-ray attenuation for each X-ray spectrum or detector energy bin for all combinations of basis material pathlengths. The data structure is usable to perform a material decomposition on the X-ray projection of an imaged object.

Methods for calibrating a spectral X-ray imaging system to perform material decomposition

The present disclosure describes methods and apparatuses for reducing metal artifacts in cone beam computed tomography (CBCT) reconstructions. The methods use multiple imaging modalities to identify and locate metal present in a region of dental patients mouth and to generate a reconstructed 3-D volume image of the region with reduced metal artifacts using data obtained by the multiple modalities. According to example embodiments, the methods include creating a metal map using data from a first imaging modality and an initial 3-D reconstruction from data obtained from a second imaging modality including CBCT imaging. The metal map is registered to the initial 3-D reconstruction with a reconstructed metal map and projection metal maps being subsequently produced and applied to projections from the CBCT imaging to generate interpolated projections. An artifact reduced 3-D reconstruction is produced from the interpolated projections and a final 3-D reconstruction is created therefrom including merged metal information.

Metal artifacts reduction in cone beam reconstruction

A method for rendering metal obscured regions in a volume radiographic image reconstructs a first 3D image using a plurality of 2D projection images obtained over a scan angle range relative to the subject and identifies metal in the first 3D image or metal shadows in the plurality of 2D projection images. Then, metal obscured regions are determined in a reconstructed 3D image of the object, and an alternative reconstruction being a limited angle reconstruction is performed for the metal obscured regions and displayed to the user with an indication of the spatial relationship to a corresponding metal obscured region.

System for the detection and display of metal obscured regions in cone beam CT

A method for characterizing bone structure for a patient, method executed at least in part on a computer, acquires one or more 2D x-ray projection images of a volume, wherein image content is acquired at two or more spectral frequencies. The acquired x-ray image content is processed to calculate one or more metrics that characterize bone structure within the imaged volume. The one or more calculated metrics are displayed.

Method for local x-ray bone density tomography

A method for displaying a paranasal sinus region of a patient is executed at least in part on a computer, acquiring volume image data of the paranasal sinus region of the patient, identifying one or more airways within the paranasal sinus region from the volume image data, displaying the at least one or more airways, and highlighting one or more portions of the displayed airways that are constricted below a predetermined value.

System for paranasal sinus and nasal cavity analysis

A method for reducing metal artifacts in a volume radiographic image reconstructs a first 3-D-image using measured projection images and forms a 3-D image metal mask that contains metal voxels. For each measured projection image, a projection metal mask is a projection of the 3-D image metal mask. A 3-D prior image contains voxels within the 3-D image metal mask. Voxel values of the first 3-D image outside the 3-D image metal mask are replaced with a value representative of air or soft tissue. Non-metal voxels of the 3-D prior image are modified according to a difference between a pixel value related to the nonmetal voxel and the corresponding pixel value in a calculated projection image. Composite projection images are formed by replacing measured projection image data for pixels within the projection metal mask with calculated projection image data. A metal artifact reduced 3-D image is reconstructed from composite projections.

A method for generating a 3-dimensional reconstruction model of an object of interest that lies within a volume, the method executed at least in part by a computer, acquires a first set of projection images of the volume at a first exposure and a first field of view and a second set of projection images of the object of interest within the volume at a second exposure that is higher than the first exposure and a second field of view that is narrower than the first field of view. An object of interest is reconstructed from the second set of projection images according to information related to portions of the volume that lie outside the object of interest. The reconstructed object of interest is displayed.

Reconstruction of a cone beam scanned object

A method for forming a three-dimensional reconstructed image acquires two dimensional measured radiographic projection images over a set of projection angles, wherein the measured projection image data is obtained from an energy resolving detector that distinguishes first and second energy bands. A volume reconstruction has image voxel values representative of the scanned object by back projection of the measured projection data. Volume reconstruction values are iteratively modified to generate an iterative reconstruction by repeating, for angles in the set of projection angles and for each of a plurality of pixels of the detector: generating a forward projection that includes calculating an x-ray spectral distribution at each volume voxel, calculating an error value by comparing the generated forward projection value with the corresponding measured projection image value, and adjusting one or more voxel values using the calculated error value and the x-ray spectral distribution. The generated iterative reconstruction displays.

Volume image reconstruction using data from multiple energy spectra

A method for determining a location of an object in a radiographic image by segmentation of a region in the image comprises the steps of: determining a first image intensity that is characteristic of high image intensities in the region; determining a second image intensity that is characteristic of low image intensities outside of the region; and determining if a pixel is added to or removed from the region based on the similarity of the pixel's intensity to the first and second intensity.

Localization of nodules in a radiographic image

An image fusion method for medical applications, comprising:

Image fusion for radiation therapy

In a method and system for correcting redeye in a digital image of a human, a defect pair separation is measured. The members of the defect pair are each redeye defects in the image. Each defect has one or more pixels. The defects are adjusted, that is, retained unchanged or reduced in size to provide adjusted defects. The adjustment can follow growth of initial seed defects. The adjustment is responsive to the defect pair separation and can include trimming of pixels beyond a size limit calculated using the defect pair separation. Following the adjustment, the color of the adjusted defects is changed to reduce redeye.

Correction of redeye defects in images of humans

A method of generating a pulmonary nodule image from a chest radiograph. The method includes the steps of: producing a map of a clear lung field; removing low frequency variation from the clear lung field to generate a level image; and performing at least one grayscale morphological operation on the level image to generate a nodule-bone image. Pulmonary nodules can be detected using the nodule-bone image by the further steps of: pulmonary nodules from a chest radiograph. The method includes the steps of: identifying candidate nodule locations in the nodule-bone image; segmenting a region around each candidate nodule location in the nodule-bone image; and using the features of the segmented region to determine if a candidate is a nodule.

Pulmonary nodule detection in a chest radiograph

Growing community of inventors

Rochester, NY, United States of America

Jay S Schildkraut