Eastman-kodak Company

Carestream Health, Inc.

Carestream Dental Technology Topco Limited

Other

Boundary Life Sciences

Lawrence Allen Ray

Shoupu Chen

Richard Alan Simon

Nathan D Cahill

Richard N Ellson

Edward B Gindele

Levon O Vogelsang

Jay S Schildkraut

Louis R Gabello

Marvin M Goodgame

Jean-Marc Inglese

Henry Nicponski

Chris W Honsinger

Joseph F Revelli, Jr

James R Sullivan

Andre Souza

Kenneth J Repich

Kevin Edward Spaulding

Victor C Wong

James R Milch

Peter D Burns

Krishnamoorthy Subramanyan

Zhaohui Sun

Bhavan R Gandhi

Jacques Treil

Gene E Pios

Alexandre X Falcao

Andrew Charles Gallagher

Rongguang Liang

Marek W Kowarz

Zhimin Huo

Paul W Jones

Sreeram Dhurjaty

Rajan L Joshi

John C Brazas

Dong Yang

Carl N Schauffele

Gabriel Fielding

Mark R Bolin

Paul W Melnychuck

Brett Vansprewenburg

James Geoffrey Chase

Daoxian Heidi Zhang

Richard D Lucitte

Yue Shen

Yong Chu

David J Kroth

Cranos M Williams

Dennis J Whipple

Timothy P Mathers

Christopher Eric Hann

Marc Olano

Joseph J Murray

Jacques Faure

Yajie Sun

Yang Zheng

Method and/or apparatus embodiments for 3-D cephalometric analysis of a patient, acquires reconstructed volume image data from a computed tomographic scan of a patient's head including one or more dentition elements within the mouth of the patient, and computes one or more cephalometric parameters for the patient according to the reconstructed volume image data and the one or more dentition elements. One or more results generated from cephalometric analysis of the one or more computed cephalometric parameters can be stored, transmitted or displayed. The reconstructed volume image data is updated with 3D surface model from a subsequent optical scan of the patient's dentition and the one or more cephalometric parameters for the patient are re-computed based on the updated reconstructed volume image data.

Method and system for 3D cephalometric analysis

An imaging method, accesses a set of low-energy projection images and performs a low-energy reconstruction using the low-energy projection images. A synthesized intermediate low-energy projection image is generated. A high-energy reconstruction is performed using a set of high-energy projection images. A synthesized intermediate high-energy projection image is generated. A dual-energy reconstruction is performed using at least one low-energy projection image, the synthesized intermediate low-energy projection image, at least one high-energy projection image, and the synthesized intermediate high-energy projection image.

Imaging system and method for dual-energy and computed tomography

A method for geometric calibration of a radiography apparatus disposes at least one radio-opaque marker in the field of view of the radiography apparatus. A series of tomosynthesis projection images of patient anatomy is acquired from the detector with the x-ray source at different positions along a scan path. For at least three projection images showing the position of the radio-opaque marker, the spatial and angular geometry of the x-ray source and detector are calculated according to the positions of the marker. A tomosynthesis image is reconstructed according to the calculated geometry. A rendering of the reconstructed image is displayed.

Fiducial marker for geometric calibration of bed-side mobile tomosynthesis system

A method for geometric calibration of a radiography apparatus acquires tomosynthesis projection images of patient anatomy from a detector and an x-ray source translated along a scan path. An epipolar geometry is calculated according to the relative position of the detector to the scan path by estimating a direction for epipolar lines that extend along an image plane that includes the detector. A region of interest of the patient anatomy that is a portion of each projection image and is fully included within each projection image in the series is defined. A consistency metric is calculated for estimated epipolar lines extending within the ROI. The method iteratively adjusts the epipolar line estimation until the consistency metric indicates accuracy to within a predetermined threshold. A portion of a tomosynthesis volume is reconstructed and displayed.

Mobile radiography calibration for tomosynthesis using epipolar data consistency

A method for geometric calibration of a mobile radiography apparatus, executed at least in part by a computer, acquires a series of tomosynthesis projection images of a patient positioned between an x-ray source of the mobile radiography apparatus and a detector that is positionally uncoupled from the x-ray source. A vector field is generated having a first set of vectors indicative of feature movement between a first acquired projection image and a second acquired projection image. The generated vector field is associated with an epipolar geometry according to an optimization of an energy relationship between an epipolar model and the generated vector field values. The mobile radiography apparatus is calibrated according to the associated model epipolar geometry. At least a portion of the tomosynthesis image is reconstructed and displayed.

Mobile radiography calibration for tomosynthesis using epipolar geometry

A method for tomosynthesis volume reconstruction acquires at least a prior projection image of the subject at a first angle and a subsequent projection image of the subject at a second angle. A synthetic image corresponding to an intermediate angle between the first and second angle is generated by a repeated process of relating an area of the synthetic image to a prior patch on the prior projection image and to a subsequent patch on the subsequent projection image according to a bidirectional spatial similarity metric, wherein the prior patch and subsequent patch have n&#xd7;m pixels; and combining image data from the prior patch and the subsequent patch to form a portion of the synthetic image. The generated synthetic image is displayed, stored, processed, or transmitted.

Virtual projection images for tomosynthesis artifact reduction

A method for imaging a subject obtains a first set of acquired projection images of a subject volume, wherein each projection image in the first set has a corresponding acquisition angle and forms an initial reconstructed volume image. A second set of synthetic projection images is generated according to processing of the acquired projection images and combined with the first set to form a combined set of projection images. The method augments the initial reconstructed image to form an improved reconstructed image by at least a first iteration of an iterative reconstruction process using the initial reconstructed image with the combined set of acquired and synthetic projection images and at least a subsequent iteration of the iterative reconstruction process using the first set of acquired projection images and fewer than, or none of, the second set of synthetic projection images. The improved reconstruction image is rendered on a display.

Iterative volume image reconstruction using synthetic projection images

An apparatus captures radiographic images of an animal standing proximate the apparatus. A moveable x-ray source and a digital radiographic detector are hidden from view of the animal and are revolved about a portion of the animal's body to capture one or a sequence of radiographic images of the animal's body.

Extremity imaging for animals

A method for 3-D cephalometric analysis acquires reconstructed volume image data from a computed tomographic scan of a patient's head. The acquired volume image data simultaneously displays from at least a first 2-D view and a second 2-D view. For an anatomical feature of the head, an operator instruction positions a reference mark corresponding to the feature on either the first or the second displayed 2-D view and the reference mark displays on each of the at least first and second displayed 2-D views. In at least the first and second displayed 2-D views, one or more connecting lines display between two or more of the positioned reference marks. One or more cephalometric parameters are derived according to the positioned reference marks, the derived parameters are displayed.

Method and system for user interaction in 3-D cephalometric analysis

A method for forming an image reconstructs a volume image according to X-ray projection images acquired at acquisition angles. The full volume image is partitioned to form at least a first and a second non-overlapping sub-volume. Within each sub-volume, forward projection images for the sub-volume are calculated, with the corresponding forward projection images computed at the acquisition angles, and with intermediate forward projection images at angles between the acquisition angles. A weight factor relates the contribution of each pixel in the X-ray projection images to each sub-volume at each acquisition angle. Synthesized sub-volume projection images are formed according to the calculated weight factors and acquired projection images in each sub-volume. Synthesized sub-volume projection images form synthesized projection images for the full volume image. A second volume image is reconstructed according to the acquired X-ray projection images and the synthesized projection images. The reconstructed second volume image is displayed, stored, or transmitted.

Volume image reconstruction using projection decomposition

Method and/or apparatus embodiments can process volume image data of a subject. An exemplary method includes obtaining a first group of two-dimensional radiographic images of the subject, wherein each of the images is obtained with a detector and a radiation source at a different scan angle. The method arranges image data from the first group of images in an image stack so that corresponding pixel data from the detector is in register for each of the images in the image stack. Pixels that represent metal objects are segmented from the image stack and data replaced for at least some of the segmented pixels to generate a second group of modified two-dimensional radiographic images. The second group of images is combined with the first group to generate a three-dimensional volume image according to the combined images and an image slice from the three-dimensional volume image is displayed.

Metal artifacts reduction for cone beam CT using image stacking

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 analyzing a subject tooth. The method includes obtaining volume image data including at least the subject tooth and segments the subject tooth from within the volume data according to one or more operator instructions. An index is generated that is indicative of a suspected fracture or lesion identified for the segmented subject tooth. The subject tooth is displayed with the suspected fracture or lesion highlighted. The generated index also displays.

Detection of tooth fractures in CBCT image

A method of generating a synthesized digital projection image, executed at least in part by a computer, acquires x-ray projection images at corresponding acquisition angles, and reconstructs a first volume image. Forward projection generates a preceding forward projection image at a first acquisition angle; a following forward projection image at an adjacent second acquisition angle; and an intermediate forward projection image for an intermediate angle. A synthesized projection image is formed by identifying a candidate patch of pixels from the intermediate forward projection image, matching a first patch of pixels from the preceding forward projection image and identifying a corresponding first acquired patch of pixels from the first acquired x-ray projection image, matching a second patch of pixels from the following forward projection image and matching a second acquired patch of pixels from the forward projection image. The first and second acquired patches are combined.

Virtual projection image method

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.

Metal artifacts reduction in cone beam reconstruction

Growing community of inventors

Rochester, NY, United States of America

Lawrence Allen Ray