US2023260140A1PendingUtilityA1

Systems and methods for image fusion

Assignee: SHANGHAI UNITED IMAGING HEALTHCARE CO LTDPriority: Dec 27, 2018Filed: Apr 23, 2023Published: Aug 17, 2023
Est. expiryDec 27, 2038(~12.4 yrs left)· nominal 20-yr term from priority
G06T 7/30G06T 5/50G06T 7/0012G06T 2207/30016G06T 2207/20221G06T 2207/10088A61B 6/5235
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Claims

Abstract

The present disclosure provides a system and method for image generation. The method may include obtaining a first image of a first modality representing a first region of a subject. The method may further include determining a second image of a second modality representing a second region of the subject based on the first image. The second region may include at least part of the first region of the subject. A slice direction of the first image may be the same as a slice direction of the second image. The method may further include generating a fused image by fusing the first image and the second image.

Claims

exact text as granted — not AI-modified
What is claimed is: 
     
         1 . A system, comprising:
 at least one storage device storing executable instructions, and   at least one processor in communication with the at least one storage device, when executing the executable instructions, causing the system to perform operations including:
 obtaining a first image representing a first region of a subject; 
 generating a pseudocolor image based on the first image, wherein the pseudocolor image includes a plurality of pixels each of which corresponds to a pixel of the first image, each of the pixels in the pseudocolor image has a color that demonstrates a concentration value of a metabolite at a portion or position of the subject, and a color serves as an index or code of the pixel, in which the index or code points to an entry of a color look-up table (CLUT); 
 obtaining a second image; and 
 generating a fused image by fusing the pseudocolor image and the second image. 
   
     
     
         2 . The system of  claim 1 , wherein the second image represents a second region of the subject, and the second region includes at least part of the first region of the subject. 
     
     
         3 . The system of  claim 2 , wherein the second image includes a structural image indicative of one or more structural characteristics of the second region. 
     
     
         4 . The system of  claim 2 , wherein the obtaining the second image includes:
 obtaining one or more third images of the second region, the one or more third images and the first image being of different modalities; and   generating, based on the first image and the one or more third images, the second image.   
     
     
         5 . The system of  claim 4 , wherein the generating, based on the first image and the one or more third images, the second image includes:
 for each third image of the one or more third images,
 determining whether the third image and the first image misalign; 
 in response to determining that the third image and the first image misalign, determining the second image by processing the one or more third images using an interpolation technique. 
   
     
     
         6 . The system of  claim 4 , wherein the generating, based on the first image and the one or more third images, the second image includes:
 for a third image of the one or more third images,
 determining whether the third image and the first image misalign; 
 in response to determining that the third image and the first image align, designating the third image as the second image. 
   
     
     
         7 . The system of  claim 2 , wherein the obtaining the second image includes:
 causing an imaging device to acquire the second image by scanning the second region of the subject associated with the first image.   
     
     
         8 . The system of  claim 1 , wherein the obtaining the first image representing the first region of the subject includes:
 obtaining one or more scout images of the first region of the subject; and   causing an imaging device to acquire the first image by scanning the first region of the subject according to the one or more scout images.   
     
     
         9 . The system of  claim 8 , wherein the obtaining the second image includes:
 obtaining the second image by processing the one or more scout images using an interpolation technique.   
     
     
         10 . The system of  claim 8 , wherein the obtaining the second image includes:
 determining whether one of the one or more scout images and the first image misalign; and   in response to a determination that the one of the one or more scout images and the first image misalign, determining, based on the first image, the second image.   
     
     
         11 . The system of  claim 10 , wherein the determining whether one of the one or more scout images and the first image misalign includes:
 determining whether slice information of the one of the one or more scout images matches slice information of the first image, the slice information including at least one of a slice position or a slice direction; and   in response to a determination that the slice information of the one of the one or more scout images fails to match the slice information of the first image, determining that the one of the one or more scout images and the first image misalign.   
     
     
         12 . The system of  claim 8 , wherein the obtaining the second image includes:
 generating, based on the first image and the one of the one or more scout images, the second image.   
     
     
         13 . The system of  claim 1 , wherein the generating the fused image by fusing the pseudocolor image and the second image includes:
 assigning a value or a color of each of at least some of a plurality of pixels in the pseudocolor image to a corresponding second pixel of a plurality of second pixels in the second image to obtain the fused image.   
     
     
         14 . The system of  claim 1 , wherein the generating the fused image by fusing the pseudocolor image and the second image includes:
 generating a registered pseudocolor image by registering the pseudocolor image with the second image; and   fusing the registered pseudocolor image and the second image to obtain the fused image.   
     
     
         15 . The system of  claim 1 , wherein the first image includes a magnetic resonance spectroscopy (MRS) image. 
     
     
         16 . The system of  claim 1 , wherein the second image and the first image are of different modalities. 
     
     
         17 . The system of  claim 1 , wherein a slice direction of the first image is same as a slice direction of the second image. 
     
     
         18 . A method implemented on a computing device having at least one processor and at least one storage device, the method comprising:
 obtaining a first image representing a first region of a subject;   generating a pseudocolor image based on the first image, wherein the pseudocolor image includes a plurality of pixels each of which corresponds to a pixel of the first image, each of the pixels in the pseudocolor image has a color that demonstrates a concentration value of a metabolite at a portion or position of the subject, and a color serves as an index or code of the pixel, in which the index or code points to an entry of a color look-up table (CLUT);   obtaining a second image; and   generating a fused image by fusing the pseudocolor image and the second image.   
     
     
         19 . The method of  claim 15 , the second image represents a second region of the subject, and the second region includes at least part of the first region of the subject. 
     
     
         20 . A non-transitory computer readable medium, comprising a set of instructions, wherein when executed by at least one processor, the set of instructions direct the at least one processor to effectuate a method, the method comprising:
 obtaining a first image representing a first region of a subject;   generating a pseudocolor image based on the first image, wherein the pseudocolor image includes a plurality of pixels each of which corresponds to a pixel of the first image, each of the pixels in the pseudocolor image has a color that demonstrates a concentration value of a metabolite at a portion or position of the subject, and a color serves as an index or code of the pixel, in which the index or code points to an entry of a color look-up table (CLUT);   obtaining a second image; and   generating a fused image by fusing the pseudocolor image and the second image.

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