Follow up image acquisition planning and/or post processing

US9675311B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9675311-B2
Application numberUS-201214126276-A
CountryUS
Kind codeB2
Filing dateJun 28, 2012
Priority dateJul 6, 2011
Publication dateJun 13, 2017
Grant dateJun 13, 2017

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Abstract

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A method includes planning a follow up three dimensional image acquisition of tissue of interest of a patient based on first and second two dimensional surview projection images, wherein the first two dimensional surview projection image was used to plan a previously performed baseline three dimensional image acquisition of the tissue of interest of the patient, wherein the first two dimensional surview projection image includes information corresponding to at least one region of interest identified in the first two dimensional surview projection image for the previously performed baseline three dimensional image acquisition, wherein the first two dimensional surview projection image includes information corresponding to a z-axis scanning extent identified in the first two dimensional surview projection image for the previously performed baseline three dimensional baseline image acquisition, and wherein the second two dimensional surview projection image was acquired for planning the follow up three dimensional image acquisition.

First claim

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What is claimed is: 1. A method, comprising: generating an acquisition plan for a follow up three dimensional image acquisition of tissue of interest of a patient by computer tomography (CT) acquisition based on a first two dimensional surview projection image registered with a second two dimensional surview projection image, wherein the first two dimensional surview projection image was used to plan a previously performed baseline three dimensional image acquisition of the tissue of interest of the patient, wherein the first two dimensional surview projection image includes information corresponding to at least one region of interest identified in the first two dimensional surview projection image for the previously performed baseline three dimensional image acquisition, wherein the first two dimensional surview projection image includes information corresponding to a z-axis scanning extent identified in the first two dimensional surview projection image for the previously performed baseline three dimensional baseline image acquisition, and the information corresponding to the z-axis scanning extent includes a first position scanned and a last position scanned of the previously performed baseline three dimensional image acquisition, and wherein the second two dimensional surview projection image was acquired for planning the follow up three dimensional image acquisition, and wherein the z-axis scanning extent including the first position scanned and the last position scanned of the previously performed three dimensional image acquisition is transferred from the first two dimensional surview projection image to the second two dimensional surview projection image according to the registration. 2. The method of claim 1 , further comprising: registering the first and second two dimensional surview projection images, wherein the planning of the follow up three dimensional image acquisition is based on the registered first and second two dimensional surview projection images and the registration includes anatomical structures of the tissues of interest represented in the registered first and second two dimensional surview projection images. 3. The method of claim 2 , the registering, comprising: using an elastic image registration algorithm to register first and second two dimensional surview projection images. 4. The method of claim 2 , the registering, comprising: transferring the information corresponding to the at least one region of interest and the information corresponding to the z-axis scanning extent that includes the first position scanned and the last position scanned from the first two dimensional surview projection image to the second two dimensional surview projection image according to the registration. 5. The method of claim 2 , wherein the registering of the first and second two dimensional surview projection images is performed automatically without user interaction. 6. The method of claim 2 , further comprising: performing the follow up three dimensional image acquisition based on the registered second two dimensional surview projection image with the transferred information; and wherein the acquisition plan includes replicating scan geometry of the tissue of interest with respect to position and orientation. 7. The method of claim 6 , the registering of the slice images, comprising: transferring information corresponding to a volume of interest identified in the subset of images from the subset to the registered plurality of thin slice images. 8. The method of claim 7 , further comprising: reformatting the plurality of thin slice images, producing a three dimensional image dataset that substantially matches anatomy in each of the subset of images corresponding to the previously performed three dimensional baseline image acquisition. 9. The method of claim 1 , further comprising: reconstructing data acquired during the follow up three dimensional image acquisition, generating a plurality of slice images of the follow up three dimensional image acquisition; and registering the slice images of the follow-up three dimensional image acquisition with a subset of images corresponding to the previously performed three dimensional baseline image acquisition slice-by-slice. 10. The method of claim 9 , wherein the subset of images is derived from a set of slice images generated from the previously performed three dimensional baseline image acquisition. 11. The method of claim 9 , wherein the subset of images have slice thicknesses greater than the slice images generated from the previously performed three dimensional baseline image acquisition. 12. The method of claim 1 , wherein the first two dimensional surview projection image, the second two dimensional surview projection image and the previously performed three dimensional imaging acquisition include image data generated from a computed tomography scanner. 13. A system, comprising: an acquisition planner which comprises one or more processors configured to generate an acquisition plan for a follow up three dimensional image acquisition of a patient by a computed tomography acquisition based on a first two dimensional surview projection image registered with a second two dimensional surview projection image, wherein the first two dimensional surview projection image was used to plan a previously performed three dimensional image acquisition, wherein the first two dimensional surview projection image includes information corresponding to a z-axis scanning extent identified in the first two dimensional surview projection image for the previously performed three dimensional image acquisition and the information corresponding to the z-axis scanning extent includes a first position scanned and a last position scanned of the previously performed three dimensional image acquisition, wherein the second two dimensional surview projection image was acquired for planning the follow up three dimensional image acquisition, wherein the acquisition planner includes a scan extent transferor configured to transfer the z-axis scanning extent including the first position scanned and the last position scanned of the previously performed three dimensional image acquisition from the first two dimensional surview projection image to the second two dimensional surview projection image. 14. The system of claim 13 , the acquisition planner, comprising: a 2D registration component that registers the first and second two dimensional surview projection images and the registration includes anatomical structures of the tissue of interest represented in the registered first and second two dimensional surview projection images. 15. The system of claim 14 , the acquisition planner, further comprising: a region of interest transferor that transfers information corresponding to at least one region of interest identified in the first two dimensional surview projection image to the second two dimensional surview projection image. 16. The system of claim 13 , further comprising: an image processor that matches thin slice images of the follow up three dimensional image acquisition with a subset of thicker slice images derived from the thin slice images of the previously performed three dimensional image acquisition. 17. The system of claim 16 , the image processor, comprising: a 3D registration component configured to register the thin slice images and the thicker slice images. 18. The system of claim 17 , the image processor, comprising: a volume of interest transferor configured to transfer information corresponding

Assignees

Inventors

Classifications

  • Determination of transform parameters for the alignment of images, i.e. image registration · CPC title

  • involving automatic set-up of acquisition parameters · CPC title

  • for selecting a region of interest [ROI] · CPC title

  • Transmission computed tomography [CT] · CPC title

  • A61B6/488Primary

    involving pre-scan acquisition · CPC title

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What does patent US9675311B2 cover?
A method includes planning a follow up three dimensional image acquisition of tissue of interest of a patient based on first and second two dimensional surview projection images, wherein the first two dimensional surview projection image was used to plan a previously performed baseline three dimensional image acquisition of the tissue of interest of the patient, wherein the first two dimensiona…
Who is the assignee on this patent?
Von Berg Jens, Senegas Julien, Fahoum Luna, and 3 more
What technology area does this patent fall under?
Primary CPC classification A61B6/488. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Tue Jun 13 2017 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).