MR segmentation using nuclear emission data in hybrid nuclear imaging/MR

US9271652B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9271652-B2
Application numberUS-201214001690-A
CountryUS
Kind codeB2
Filing dateMar 2, 2012
Priority dateMar 7, 2011
Publication dateMar 1, 2016
Grant dateMar 1, 2016

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Abstract

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When generating a magnetic resonance (MR) attenuation map (39), an MR image is segmented to identify a patient's body outline, soft tissue structures, and ambiguous structures comprising bone and/or air. To distinguish between bone and air in the ambiguous structures, a nuclear emission image (e.g., PET) of the same patient or region of interest is segmented. The segmented functional image data is correlated to the segmented MR image data to distinguish between bone and air in the ambiguous structures. Appropriate radiation attenuation values are assigned respectively to identify air voxels and bone voxels in the segmented MR image, and an MR attenuation map is generated from the enhanced segmented MR image, in which ambiguity between air and bone has been resolved. The MR attenuation map is used to generate an attenuation-corrected nuclear image, which is displayed to a user.

First claim

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The invention claimed is: 1. A system that facilitates resolving ambiguity in a magnetic resonance (MR) image or attenuation map, including: an MR reconstruction processor that generates an MR image from raw MR data acquired during a scan of a subject by an MR scanner; a functional image reconstruction processor that generates a functional image from functional image data acquired during a scan of a subject by a functional image scanner; and a processor programmed to: segment the MR image to generate a segmented MR image having a region of air/bone ambiguity in which ambiguity between air voxels and bone voxels is unresolved; segment the functional image to generate a segmented functional image having bone regions; compare bone regions in the segmented functional image to the bone/air ambiguity region in the segmented MR image to resolve ambiguity between voxels in the bone/air region in the segmented MR image, which correspond to bone and air; assign radiation attenuation values consistent with bone to identified bone voxels, and consistent with air to identified air voxels, in the segmented MR image; and generate an MR attenuation map using the assigned radiation attenuation values. 2. The system according to claim 1 , wherein the functional image data includes emission data from a PET scanner and is acquired using a single radiotracer. 3. The system according to claim 2 , wherein the radiotracer includes an 18F isotope of fluoride. 4. The system according to claim 1 , wherein the processor is programmed to: overlay at least one bone region of the segmented functional image and at least one anatomically corresponding air/bone ambiguity region in the segmented MR image; identify pairs of corresponding voxels in the bone region and in the air/bone ambiguity region; and identify voxels in the air/bone ambiguity region of the segmented MR image that have a corresponding voxel in the bone region of the segmented functional image as bone voxels in the segmented MR image. 5. The system according to claim 1 , wherein the processor is programmed to: overlay at least one air region of the segmented functional image and at least one anatomically corresponding air/bone ambiguity region in the segmented MR image; identify pairs of corresponding voxels in the air region and in the air/bone ambiguity region; subtract the air region from the air/bone ambiguity region; and identify remaining voxels in the air/bone ambiguity region as bone voxels. 6. The system according to claim 1 , wherein the functional image scanner is at least one of: a positron emission tomography (PET) scanner that acquires the functional image data; and a single photon emission computed tomography (SPECT) scanner that acquires the functional image data. 7. The system according to claim 6 , wherein the PET scanner and the MR scanner are included in a single multi-modal PET/MR scanning device. 8. The system according to claim 1 , wherein the processor is further programmed to: execute a thresholding module to segment at least one of the MR image and the functional image. 9. The system according to claim 1 , wherein the processor is further programmed to: execute a region growing module to segment at least one of the MR image and the functional image. 10. The system according to claim 1 , wherein the processor is further programmed to: execute an atlas-based segmentation module to segment at least one of the MR image and the functional image. 11. The system according to claim 1 , wherein the processor is further programmed to: execute a model-based adaptation module to segment at least one of the MR image and the functional image. 12. A method of resolving ambiguity in a magnetic resonance (MR) image or attenuation map, including: generating an MR image from raw MR data acquired during a scan of a subject by an MR scanner; generating a functional image from functional image data acquired during a scan of a subject by a functional image scanner; segmenting the MR image to generate a segmented MR image having a region of air/bone ambiguity in which ambiguity between air voxels and bone voxels is unresolved; segmenting the functional image to generate a segmented functional image having bone regions and other tissue regions; comparing the bone regions in the segmented functional image to the bone/air ambiguity region in the segmented MR image to resolve ambiguity between voxels in the bone/air region in the segmented MR image, which correspond to bone and air; assigning radiation attenuation values consistent with bone to identified bone voxels, and consistent with air to identified air voxels, in the segmented MR image; generating an MR attenuation map using the assigned radiation attenuation values; reconstructing the functional image data into an image using the MR attenuation map to correct attenuation in the functional image data; and displaying the image on a display to a user. 13. The method according to claim 12 , wherein the functional image data includes emission data from a PET scanner and is acquired using a single radiotracer. 14. The method according to claim 13 , wherein the radiotracer includes an 18F isotope of fluoride. 15. The method according to claim 12 , further including: overlaying at least one bone region of the segmented functional image and at least one anatomically corresponding air/bone ambiguity region in the segmented MR image; identifying pairs of corresponding voxels in the bone region and in the air/bone ambiguity region; and identifying voxels in the air/bone ambiguity region of the segmented MR image that have a corresponding voxel in the bone region of the segmented functional image as bone voxels in the segmented MR image. 16. The method according to claim 12 , further including: overlaying at least one air region of the segmented functional image and at least one anatomically corresponding air/bone ambiguity region in the segmented MR image; identifying pairs of corresponding voxels in the air region and in the air/bone ambiguity region; subtracting the air region from the air/bone ambiguity region; and identifying remaining voxels in the air/bone ambiguity region as bone voxels. 17. The method according to claim 12 , wherein the functional scanner is at least one of: a positron emission tomography (PET) scanner that acquires the functional image data; and a single photon emission computed tomography (SPECT) scanner that acquires the functional image data. 18. The method according to claim 17 , wherein the PET scanner and the MR scanner are included in a single multi-modal PET/MR scanning device. 19. The method according to claim 12 , wherein segmenting at least one of the MR image and the functional image is performed using at least one of: a thresholding technique; a region growing technique; an atlas-based segmentation technique; and a model-based adaptation technique. 20. A processor or computer-readable medium carrying a computer program that controls one or more processors to perform the method of claim 12 . 21. A system for generating functional images, comprising: a processor programmed to perform the method according to claim 12 to generate an attenuation map; a reconstruction processor programmed to reconstruct the functional image data using the attenuation map to generate and attenuation-corrected functional image; and a display that displays at least one of the attenuation-corrected functional image and a combined M

Assignees

Inventors

Classifications

  • MR combined with positron emission tomography [PET] or single photon emission computed tomography [SPECT] · CPC title

  • A61B5/0033Primary

    Features or image-related aspects of imaging apparatus, e.g. for MRI, optical tomography or impedance tomography apparatus; Arrangements of imaging apparatus in a room · CPC title

  • with a combination of at least two different types of detectors · CPC title

  • Data processing and visualization specially adapted for MR, e.g. for feature analysis and pattern recognition on the basis of measured MR data, segmentation of measured MR data, edge contour detection on the basis of measured MR data, for enhancing measured MR data in terms of signal-to-noise ratio by means of noise filtering or apodization, for enhancing measured MR data in terms of resolution by means for deblurring, windowing, zero filling, or generation of gray-scaled images, colour-coded images or images displaying vectors instead of pixels (image data processing or generation, in general G06T) · CPC title

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What does patent US9271652B2 cover?
When generating a magnetic resonance (MR) attenuation map (39), an MR image is segmented to identify a patient's body outline, soft tissue structures, and ambiguous structures comprising bone and/or air. To distinguish between bone and air in the ambiguous structures, a nuclear emission image (e.g., PET) of the same patient or region of interest is segmented. The segmented functional image data…
Who is the assignee on this patent?
Hu Zhiqiang, Ojha Navdeep, Tung Chi-Hua, and 1 more
What technology area does this patent fall under?
Primary CPC classification A61B5/0033. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Tue Mar 01 2016 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).