US6298112B1
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Methods and apparatus for helical multi-frame image reconstruction in a computed tomography fluoro system including data communications over a network
Assignee: GE Medical Systems Global Technology Co LLC
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Filing: 1999-12-27
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Granted: 2001-10-02
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Expires: 2019-12-27
Abstract
Abstract A method for producing a base tomographic image and a subsequent tomographic image of an object using projection data acquired in a scan with a system which includes an x-ray source and a detector array which includes a plurality of detectors. The method includes applying a segmentation algorithm to the projection data to generate base image data comprising a plurality of segments; generating image data for each segment; generate subsequent image data based on image data of each segment; and communicating image data, segments, subsequent image data, or base image data to a remote facility via a network. The remote facility provides remote services.
Inventors
- 👤 Kishore Acharya
- 👤 Sandeep Dutta
- 👤 Jiang Hsieh
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-10-23 05:11
CPC Classifications
A; A61; A61B; A61B6/00; A61B6/02; A61B6/03; A61B6/032; A61B6/40; A61B6/4064; A61B6/4085; A61B6/54; A61B6/548; A61B6/58; A61B6/581; G; G06; G06T; G06T12/00; G06T12/10; A61B6/027; Y; Y10; Y10S; Y10S378/00; Y10S378/901
Claims Analysis
Total Claims: 18
Claim 1
Independent Claim
101 words
A method for producing a base tomographic image and a subsequent tomographic image of an object using projection data acquired in a scan with a system comprising an x-ray source and a detector array, the detector array, the method comprising: applying a segmentation algorithm to the projection data to generate base image data comprising a plurality of segments; generating image data for each segment; generating subsequent image data based on the image data of each segment; and communicating image data, segments, subsequent image data, or base image data to a remote facility via a network, the remote facility providing remote services.
Claim 2
Independent Claim
101 words
A method for producing a base tomographic image and a subsequent tomographic image of an object using projection data acquired in a scan with a system comprising an x-ray source and a detector array, the detector array, the method comprising: applying a segmentation algorithm to the projection data to generate base image data comprising a plurality of segments; generating image data for each segment; generating subsequent image data based on the image data of each segment; and communicating image data, segments, subsequent image data, or base image data to a remote facility via a network, the remote facility providing remote services.
Claim 3
Dependent Claim
29 words
A method in accordance with claim 1 wherein generating the image data for each segment comprises generating overscan weighted image data and unity weighted image data for each segment.
Claim 4
Dependent Claim
27 words
A method in accordance with claim 2 wherein generating the base image data comprises dividing the base image data into M segments for every 2π angular span.
Claim 5
Dependent Claim
64 words
A method in accordance with claim 3 wherein the subsequent image data P of segment k is: P k = O k - O k + M + ∑ i = k + 1 k + M U i where: O k is overscan weighted image data for segment k; U i is unity weighted image data for segment i; and k≦1.
Claim 6
Dependent Claim
58 words
A method in accordance with claim 3 wherein the subsequent image data P of segment k is: P k =P k −1−O k −1−U k +O k +O k +M−1+U k +M−O k +M where: O k is overscan weighted image data for segment k; U k is unity weighted image data for segment k; k>1; and M>6.
Claim 7
Dependent Claim
15 words
A method in accordance with claim 3 wherein each segment comprises multiple number of views.
Claim 8
Dependent Claim
25 words
A method in accordance with claim 6 wherein the number of views in k th segment equals the number of views in (k+M) th segment.
Claim 9
Dependent Claim
60 words
A method in accordance with claim 7 further comprising a number of processor pipes D and wherein the number of views in each segment is greater than or equal to the number of views in 0≦β≦β 0 , where: β is a view angle; and β 0 is an angle of gantry rotation in excess of 360° for image reconstruction.
Claim 10
Dependent Claim
46 words
A method in accordance with claim 8 further comprising a data acquisition system (DAS) and wherein to select the number of views per segment, the system is configured to adjust a DAS data sampling rate so that the selected number of views per segment are collected.
Claim 11
Dependent Claim
33 words
A method in accordance with claim 9 wherein the adjusted sampling rate is: R=V/(D*M), where: R is a whole integer number; and V is a number of views per 2π rotation of gantry.
Claim 12
Dependent Claim
33 words
A method in accordance with claim 8 wherein the selected number of views in each processor pipe is: v k =(number of views in segment k)/D where: v k is a whole integer.
Claim 13
Dependent Claim
20 words
A method in accordance with claim 2 further comprising a convolution algorithm to simultaneously generate two views of image data.
Claim 14
Dependent Claim
100 words
A method in accordance with claim 12 wherein the convolution algorithm is configured to: form a sequence y(n); determine Y(k); and determine an extended frequency domain response to N−1 points, where: y(n)=v i (n)+jv m (n); Y(k) is a complex FFT of y(n); n is a number of sample points ranging from 0 to N−1; i is a view number ranging from 0 to N v−1 ; m is a view number ranging from 0 to N v−1 ; v i corresponds to the i th zero padded view; and v m corresponds to the m th zero padded view.
Claim 15
Dependent Claim
14 words
A method in accordance with claim 13 wherein i is not equal to m.
Claim 16
Dependent Claim
21 words
A method in accordance with claim 13 wherein v i and v m correspond to different slices of a volumetric scan.
Claim 17
Dependent Claim
32 words
A method in accordance with claim 13 wherein the extended frequency domain response is: H(k)=H(N−k), where: k=N/2 . . . N−1; and spatial response of a h(n) kernel is an even function.
Claim 18
Dependent Claim
41 words
A method in accordance with claim 13 wherein the convolution algorithm is further configured to: determine a Z(k); determine a inverse complex FFT, z(k), of Z(k); and isolate real part Cv i and imaginary part Cv m of z(n); where: Z(k)=Y(k)·H(k).
References Cited (Backward Citations)
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