Shanghai United Imaging Healthcare Co., Ltd.

Uih America, Inc.

Stanislav Zabic

Zhicong Yu

Wenjing Cao

Patrick Joseph Kling

Alexander Zamyatin

Haohua Sun

The present disclosure provides a system and method for CT image reconstruction. The method may include combining an analytic image reconstruction technique with an iterative reconstruction algorithm of CT images. The image reconstruction may be performed on or near a region of interest.

System and method for computed tomography

The disclosure relates to systems and methods for iterative reconstruction. Raw data detected from a plurality of angles by an imaging device may be obtained. A first seed image may be generated by performing a filtered back projection on the raw data. A first air mask may be determined by performing a minimum value back projection (BP) on the raw data. One or more images may be reconstructed by performing an iterative reconstruction based on the first seed image, the first air mask, and the raw data.

Systems and methods for iterative reconstruction

A system and method for reducing streak artifacts in a multiplanar reconstruction image are provided. The method may include: retrieving a first image volume from image data, the first image volume including multiple images, at least one of which includes a streak artifact including multiple streaks of a streak width along a first direction; determining a second image volume and a third image volume based on the first image volume; determining an initial error image volume based on the second image volume and the third image volume; determining a revised error image volume based on the initial error image volume; smoothing the revised error image volume to generate a final error image volume; correcting the first image volume according to the final error image volume; and, generating, based on the corrected first image volume, a corrected image volume.

System and method for MPR streak reduction

The disclosure relates to system and method for CT image reconstruction. The method may include: obtaining scanning data, wherein the scanning data is generated by at least one detector via a plurality of axial scans; obtaining a scanning parameter wherein the scanning parameter include a detector size; obtaining a requested reconstruction parameter; determining a plurality of requested image locations based on the scanning parameter and the requested reconstruction parameter; determining an intermediate reconstruction parameter based on the requested reconstruction parameter; determining a plurality of intermediate image locations based on the plurality of requested image locations and the intermediate reconstruction parameter; determining a intermediate image volume based on the plurality of intermediate images and the scanning data; determining a final image volume based on the intermediate image volume and a filter; reconstructing an image of the subject based on the final image volume and the requested reconstruction parameters.

System and method for 3D image reconstruction from axial step-and-shoot CT

The present disclosure directs to a system and method for CT imaging. The method may include acquiring computed tomography (CT) data, wherein the CT data is generated by scanning a subject using a CT scanner, the CT scanner including a focal spot and a detector, and the detector including a plurality of detector units. The method may also include obtaining a forward projection model and a back projection model, wherein the forward projection model and the back projection model are associated with sizes of the detector units and a size of the focal spot of the CT scanner. The method may further include reconstructing a CT image of the subject iteratively based on the CT data, the forward projection model, and the back projection model.

System and method for computed tomographic imaging

The present disclosure relates to systems and methods for image reconstruction. The systems may perform the methods to obtain image data, at least a portion of the image data relating to a region of interest (ROI); determine local information of the image data, the local information relating to orientation information of the image data; determine a regularization item based on the local information; and modify the image data based on the regularization item.

System and method for image reconstruction

The present disclosure relates to systems and methods for reconstructing an image in an imaging system. The methods may include obtaining scan data representing an intensity distribution of energy detected at a plurality of detector elements and determining an image estimate. The methods may further include determining an objective function based on the scan data and the image estimate. The objective function may include a regularization parameter. The methods may further include iteratively updating the image estimate until the objective function satisfies a termination criterion, and for each update, updating the regularization parameter based on a gradient of an updated image estimate. The methods may further include outputting a final image based on the updated image estimate when the objective function satisfies the termination criterion.

Systems and methods for image reconstruction

Systems and methods for image noise reduction are provided. The methods may include obtaining first image data, determining a restriction or a gradient of the first image data, determining a regularization parameter for the first image data based on the restriction or the gradient, generating second image data based on the regularization parameter and the first image data, and generating a regularized image based on the second image data.

System and method for image denoising

The disclosure relates to system and method for CT image reconstruction. The method may include: obtaining scanning data, wherein the scanning data is generated by at least one detector via a plurality of axial scans; obtaining a scanning parameter wherein the scanning parameter include a detector size; obtaining a requested reconstruction parameter; determining a plurality of requested image locations based on the scanning parameter and the requested reconstruction parameter; determining an intermediate reconstruction parameter based on the requested reconstruction parameter; determining a plurality of intermediate image locations based on the plurality of requested image locations and the intermediate reconstruction parameter; determining a intermediate image volume based on the plurality of intermediate images and the scanning data determining a final image volume based on the intermediate image volume and a filter; reconstructing an image of the subject based on the final image volume and the requested reconstruction parameters.

A system and method for reducing streak artifacts in a multiplanar reconstruction image are provided. The method may include: retrieving a first image volume from image data, the first image volume including multiple images, at least one of which includes a streak artifact including multiple streaks of a streak width along a first direction; down sampling the first image volume along the first direction at an image increment equal to the streak width to generate a second image volume; equalizing the second image volume along a second direction to generate a third image volume; up sampling the third image volume along the first direction to generate a fourth image volume; determining an error image volume based on the fourth image volume and the first image volume; correcting the first image volume according to the error image volume; and generating, based on the corrected first image volume, a corrected image volume.

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Houston, TX, United States of America

Stanislav Zabic