Method and workstation for generating a joint-visualization image based on multiple functional imaging datasets

Patent metadata

Field	Value
Publication number	US-12295777-B2
Application number	US-202217720584-A
Country	US
Kind code	B2
Filing date	Apr 14, 2022
Priority date	Apr 14, 2022
Publication date	May 13, 2025
Grant date	May 13, 2025

Abstract

A method and workstation for combining multiple functional imaging datasets into a joint-visualization image. In one aspect, a method of functional imaging includes accessing a plurality of functional imaging datasets acquired from a volume-of-interest, wherein each of the plurality of functional imaging datasets is a different one of a plurality of functional imaging data types. The method includes registering the plurality of functional imaging datasets and determining a visualization priority for each of a plurality of pixels in a joint-visualization image based on a logical comparison of corresponding information in each of the plurality of functional imaging datasets. The method includes generating the joint-visualization image based on the visualization priority and at least a portion of each of the plurality of functional imaging datasets, wherein each of a plurality of pixels in the joint-visualization image represents only a single one of the plurality of functional imaging data types.

First claim

The invention claimed is:

1. A method of functional imaging comprising:
accessing a plurality of functional imaging datasets acquired from a volume-of-interest, wherein each of the plurality of functional imaging datasets is a different one of a plurality of functional imaging data types;
registering the plurality of functional imaging datasets to each other;
determining a visualization priority for each of a plurality of pixels in a joint-visualization image based on a logical comparison of corresponding information in each of the plurality of functional imaging dataset, wherein the visualization priority defines which one of the plurality of functional imaging data types will be represented by each of the plurality of pixels, wherein the joint-visualization image includes one of a maximum-intensity-projection (MIP) image or a minimum-intensity-projection (MinIP) image, and wherein said performing the logical comparison of corresponding information includes either: comparing a first maximum-intensity-projection (MIP) value calculated from a first of the plurality of functional imaging datasets with a second maximum-intensity-projection (MIP) value calculated from a second of the plurality of functional imaging datasets when the joint-visualization image is a maximum-intensity projection (MIP) image; or comparing a first minimum-intensity-projection (MinIP) value calculated from the first of the plurality of functional imaging datasets with a second minimum-intensity-projection (MinIP) value calculated from the second of the plurality of functional imaging datasets when the joint-visualization image is a minimum-intensity-projection (MinIP) image;
generating the joint-visualization image based on the visualization priority determined for each of the plurality of pixels and at least a portion of each of the plurality of functional imaging datasets, wherein the joint-visualization image represents information from each of the plurality of functional imaging data types at the same time, and wherein each of the plurality of pixels in the joint-visualization image represents only a single one of the plurality of functional imaging data types; and
displaying the joint-visualization image on a display device.

2. The method of claim 1 , wherein the joint-visualization image is selected from the list consisting of a maximum-intensity-projection (MIP) image, a minimum-intensity-projection (MinIP) image, and a multiplanar reformation image.

3. The method of claim 1 , wherein determining the visualization priority for each of the plurality of pixels is based on a highest standard uptake value of each of the plurality of functional imaging data types.

4. The method of claim 1 , wherein said generating the joint-visualization image comprises using a first color-mapping scheme to represent a first of the plurality of functional imaging datasets and using a second color-mapping scheme that is different than the first color-mapping scheme to represent a second of the plurality of functional imaging datasets.

5. The method of claim 4 , further comprising:
adjusting the first color-mapping scheme;
generating an updated joint-visualization image using the adjusted first color-mapping scheme and the second color-mapping scheme;
displaying an updated joint-visualization image on the display device.

6. The method of claim 4 , further comprising:
adjusting both the first color-mapping scheme and the second color-mapping scheme;
generating an updated joint-visualization image on the display device using the adjusted first color-mapping scheme and the adjusted second color-mapping scheme; and
displaying the updated joint-visualization image on the display device.

7. The method of claim 1 , wherein a first of the plurality of functional imaging datasets was acquired using a first radiotracer and a second of the plurality of functional imaging datasets was acquired using a second radiotracer, wherein the second radiotracer includes a different ligand than the first radiotracer.

8. The method of claim 1 , wherein a first of the plurality of functional imaging datasets was acquired using a first functional imaging modality and a second of the plurality of functional imaging datasets was acquired using a second functional imaging modality, wherein the second functional imaging modality is different than the first functional imaging modality.

9. The method of claim 1 , further comprising:
accessing an anatomical imaging dataset;
wherein said registering the plurality of functional imaging datasets to each other comprises registering each of the plurality of functional imaging datasets to the anatomical imaging dataset; and
generating an anatomical image from the anatomical imaging dataset;
wherein said displaying the joint-visualization image comprises displaying the joint-visualization image as an overlay on the anatomical image in a fusion mode.

10. A workstation comprising:
a display device; and
a processor coupled to a memory, wherein the processor is configured to apply rules stored in the memory to:
access a plurality of functional imaging datasets acquired from a volume-of-interest, wherein each of the plurality of functional imaging datasets is a different one of a plurality of functional imaging data types;
register the plurality of functional imaging datasets to each other;
determine a visualization priority for each of a plurality of pixels in a joint-visualization image based on a logical comparison of corresponding information in each of the plurality of functional imaging datasets, wherein the visualization priority defines which one of the plurality of functional imaging data types will be represented by each of the plurality of pixels, wherein the joint-visualization image comprises one of a maximum-intensity-projection (MIP) image or a minimum-intensity-projection (MinIP) image, and wherein the processor is configured to perform the logical comparison by either: comparing a first maximum-intensity-projection (MIP) value calculated from a first of the plurality of functional imaging datasets with a second maximum-intensity-projection (MIP) value calculated from a second of the plurality of functional imaging datasets when the joint-visualization image is a maximum-intensity projection (MIP) image; or comparing a first minimum-intensity-projection (MinIP) value calculated from the first of the plurality of functional imaging datasets with a second minimum-intensity-projection (MinIP) value calculated from the second of the plurality of functional imaging datasets when the joint-visualization image is a minimum-intensity-projection (MinIP) image;
generate the joint-visualization image based on the visualization priority determined for each of the plurality of pixels and at least a portion of each of the plurality of functional imaging datasets, wherein the joint-visualization image represents information from each of the plurality of functional imaging data types at the same time, and wherein each of the plurality of pixels in the joint-visualization image represents only a single one of the plurality of functional imaging data types; and
display the joint-visualization image on the display device.

11. The workstation of claim 10 , wherein the joint-visualization image is selected from the list consisting of a maximum-intensity-projection (MIP) image, a minimum-intensity-projection (MinIP) image, and a multiplanar reformation image.

12. The workstation of claim 10 , wherein the processor is configured to individually determine the visualization priority for each of the plurality of pixels based on a highest standard uptake value of each of the plurality of functional imaging da

Assignees

• Ge Prec Healthcare Llc

Inventors

• Carmi Raz
• Sachs Jonathan

Classifications

• G06T3/14

  Transformations for image registration, e.g. adjusting or mapping for alignment of images · CPC title

• G06T2207/20221

  Image fusion; Image merging · CPC title

• G06T5/50

  using two or more images, e.g. averaging or subtraction · CPC title

• G06T2207/10072

  Tomographic images · CPC title

• A61B6/461

  Displaying means of special interest · CPC title