X-ray imaging for enabling assessment of scoliosis

US10143417B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10143417-B2
Application numberUS-201715430880-A
CountryUS
Kind codeB2
Filing dateFeb 13, 2017
Priority dateMay 30, 2016
Publication dateDec 4, 2018
Grant dateDec 4, 2018

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  1. Title

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  2. Abstract

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  5. First independent claim

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  6. CPC / IPC classifications

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Abstract

Official abstract text for this publication.

There is provided an arrangement ( 100 ) for enabling assessment of scoliosis. The arrangement ( 100 ) is configured to obtain at least one x-ray image by means of one or more photon-counting x-ray detectors. The arrangement ( 100 ) is further configured to determine at least one characteristic of the spine of a patient having possible scoliosis based on said at least one x-ray image obtained by means of the photon-counting x-ray detector(s) to enable assessment of scoliosis.

First claim

Opening claim text (preview).

The invention claimed is: 1. An x-ray imaging system, comprising: an x-ray source; one or more photon-counting and energy discriminating x-ray detectors, each said detector configured to transfer incident x-ray photons into electrical pulses with pulse amplitudes proportional to photon energies of the incident x-ray photons; read-out circuitry integrated or associated with the photon-counting and energy discriminating x-ray detector or detectors, wherein the read-out circuitry is configured to compare the pulse amplitudes of the electrical pulses to a number of thresholds for classifying the electrical pulses according to pulse amplitude, wherein a minimal threshold of the read-out circuitry is set above a noise floor to reduce electronic noise, wherein the read-out circuitry is configured to read-out at least one x-ray image free of the photons with the electrical pulses below the minimal threshold; and a processor and a memory, the memory comprising instructions executable by the processor, whereby the processor is operative to: i) perform material basis decomposition based on said at least one x-ray image whereby materials identified in said at least one x-ray image are separated by their energy dependent attenuation and tissue surrounding the spine is removed by image processing to produce an image containing only energy dependent attenuations indicating bone with energy dependent attenuations not indicating bone being removed from the resulting final x-ray image, facilitating the identification of a spine of a patient having scoliosis, and ii) from the final x-ray image containing only energy dependent attenuations indicating bone, determine at least one characteristic of the spine of the patient having scoliosis. 2. The x-ray imaging system of claim 1 , wherein said at least one x-ray image includes one or more 2D projection images. 3. The x-ray imaging system of claim 2 , wherein the processor is operative to determine at least one characteristic of the spine by 2D positioning of the spine based on at least one 2D projection image. 4. The x-ray imaging system of claim 2 , wherein the processor is operative to determine at least one characteristic of the spine by 3D positioning of the spine based on a set of coupled 2D projection images with known relative orientation. 5. The x-ray imaging system of claim 2 , wherein the x-ray imaging system is based on a projection radiography source-detector system. 6. The x-ray imaging system of claim 1 , wherein said at least one x-ray image includes one or more 2D tomographic images. 7. The x-ray imaging system of claim 6 , wherein the processor is operative to determine at least one characteristic of the spine by 2D positioning of the spine based on at least one 2D tomographic slice image. 8. The x-ray imaging system of claim 6 , wherein the processor is operative to determine at least one characteristic of the spine by 3D positioning of the spine based on a set of 2D tomographic slice images. 9. The x-ray imaging system of claim 6 , wherein the x-ray imaging system is based on at least two coupled projection radiography source-detector systems. 10. The x-ray imaging system of claim 1 , wherein said at least one x-ray image includes one or more 3D tomographic images. 11. The x-ray imaging system of claim 10 , wherein the processor is operative to determine at least one characteristic of the spine by 3D positioning of the spine based on 3D tomographic images. 12. The x-ray imaging system of claim 1 , wherein said at least one characteristic of the spine includes the Cobb angle. 13. The x-ray imaging system of claim 12 , wherein said at least one characteristic of the spine includes the maximal tilted angle in 3D, i.e. the Cobb angle as seen from a direction where it is maximal. 14. The x-ray imaging system of claim 1 , wherein said at least one characteristic of the spine includes an indication of the apical vertebra. 15. The x-ray imaging system of claim 1 , wherein said at least one characteristic of the spine includes an indication of a vertebra with a maximal tilt. 16. The x-ray imaging system of claim 1 , wherein said at least one characteristic of the spine includes an indication of a vertebral rotation.

Assignees

Inventors

Classifications

  • extracting a diagnostic or physiological parameter from medical diagnostic data · CPC title

  • A61B6/505Primary

    for diagnosis of bone · CPC title

  • A61B5/4561Primary

    Evaluating static posture, e.g. undesirable back curvature (A61B5/1116 takes precedence) · CPC title

  • for calculating health indices; for individual health risk assessment · CPC title

  • involving control of exposure · CPC title

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What does patent US10143417B2 cover?
There is provided an arrangement ( 100 ) for enabling assessment of scoliosis. The arrangement ( 100 ) is configured to obtain at least one x-ray image by means of one or more photon-counting x-ray detectors. The arrangement ( 100 ) is further configured to determine at least one characteristic of the spine of a patient having possible scoliosis based on said at least one x-ray image obtained b…
Who is the assignee on this patent?
Prismatic Sensors Ab
What technology area does this patent fall under?
Primary CPC classification A61B6/505. Mapped technology areas include Human Necessities.
When was this patent published?
Publication date Tue Dec 04 2018 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 1 related publication on this page (citations in our corpus or others sharing the same primary CPC).