System and methods for identification of implanted medical devices and/or detection of retained surgical foreign objects from medical images

US9317920B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9317920-B2
Application numberUS-201214361386-A
CountryUS
Kind codeB2
Filing dateNov 29, 2012
Priority dateNov 30, 2011
Publication dateApr 19, 2016
Grant dateApr 19, 2016

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  1. Title

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  2. Abstract

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

A computer-based system and method(s) are described which detects and identifies implanted medical devices (“IMDs”) and/or retained surgical foreign objects (“RSFOs”) from diagnostic medical images. In some embodiments, the system provides further identification—information on the particular IMD and/or RSFO that has been recognized. For example, the system could be configured to provide information feedback regarding the IMD, such as detailed manual information, safety alerts, recalls, assess its' structural integrity, and/or suggested courses of action in a specific clinical setting/troubleshooting. Embodiments are contemplated in which the system is configured to report possible 3D locations of RSFOs in the surgical field/images.

First claim

Opening claim text (preview).

What is claimed is: 1. A computer system comprising: a memory; a data source including one or more electronic medical images representative of a portion of a physical body and object data representative of a plurality of pre-determined surgical implements; a processor electrically coupled with the memory; wherein the memory has a machine-executable code stored thereon that causes the processor to: acquire at least one medical image from the data source depicting an unidentified object; analyze the medical image by comparing the medical image with at least a portion of the object data; and identify one or more characteristics of the unidentified object in the medical image responsive to the analysis. 2. The computer system as recited in claim 1 , wherein analysis includes a comparison of the medical image with a plurality of orientations of a plurality of surgical implements in the object data. 3. The computer system as recited in claim 1 , wherein the identification of the unidentified object includes an identification of one or more possible locations of foreign objects. 4. The computer system as recited in claim 3 , wherein the surgical implement identified includes a detection of one or more of a needle, a surgical instrument, and/or a sponge. 5. The computer system as recited in claim 1 , wherein the object data is representative of a plurality of implanted medical devices. 6. The computer system as recited in claim 5 , wherein the machine-executable code causes the processor to report any safety alerts and recalls for the particular type of implanted medical device identified in the analysis. 7. The computer system as recited in claim 5 , wherein the machine-executable code causes the processor to report any suggested courses of action for the particular type of implanted medical device identified in the analysis. 8. The computer system as recited in claim 5 , wherein the machine-executable code causes the processor to analyze whether any structural integrity problems exist with the identified implanted medical device. 9. The computer system as recited in claim 5 , wherein the machine-executable code causes the processor to associate the identified implanted medical device with clinical information relating to diagnosis and treatment. 10. The computer system as recited in claim 1 , wherein the machine-executable code causes the processor to acquire the medical image from a picture archiving and communication system (“PACS”) environment. 11. The computer system as recited in claim 10 , wherein the machine-executable code is integrated with a PACS environment. 12. A computer system comprising: a memory; a data source including one or more electronic medical images representative of a portion of a physical body and object data representative of a plurality of pre-determined objects, each of said objects including a plurality of projections; a processor electrically coupled with the memory; wherein the memory has a machine-executable code stored thereon that causes the processor to: acquire at least one medical image from the data source depicting an unidentified object; analyze the medical image by comparing the medical image with at least a portion of the object data; and identify one or more characteristics of the unidentified object in the medical image responsive to the analysis. 13. The computer system of claim 12 , wherein each of said projections includes an axonometric projection. 14. The computer system of claim 13 , wherein each of said axonometric projections includes an affine transformation. 15. The computer system of claim 14 , wherein each of said objects includes a template based on a corresponding plurality of axonometric projections. 16. A computer system comprising: a memory; a data source including one or more electronic medical images representative of a portion of a physical body and object data representative of a plurality of pre-determined radiographic markers of sponges, each of said markers including a plurality of projections; a processor electrically coupled with the memory; wherein the memory has a machine-executable code stored thereon that causes the processor to: acquire at least one medical image from the data source depicting an unidentified object; analyze the medical image by comparing the medical image with at least a portion of the object data; and identify one or more characteristics of the unidentified object in the medical image responsive to the analysis. 17. The computer system of claim 16 , wherein each of said markers includes an intersection point. 18. A computer system comprising: a memory; a data source including one or more electronic medical images representative of a portion of a physical body and object data representative of a plurality of pre-determined objects, said object data representative of a plurality of pre-determined objects having been automatically processed to identify and extract relevant features; a processor electrically coupled with the memory; wherein the memory has a machine-executable code stored thereon that causes the processor to: acquire at least one medical image from the data source depicting an unidentified object; automatically analyze the medical image by comparing the medical image with at least a portion of the object data; and automatically identify one or more characteristics of the unidentified object in the medical image responsive to the analysis without input from a human operator. 19. The computer system as recited in claim 18 , wherein the object data is representative of a plurality of pre-determined surgical implements. 20. The computer system as recited in claim 18 , wherein the object data includes data representative of a plurality of implanted medical devices.

Assignees

Inventors

Classifications

  • X-ray image · CPC title

  • involving reference images or patches · CPC title

  • Tomographic images · CPC title

  • Medical imaging apparatus involving image processing or analysis (A61B1/00009, A61B6/52 and A61B8/52 take precedence) · CPC title

  • Arrangements for detecting or locating foreign bodies · CPC title

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Frequently asked questions

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What does patent US9317920B2 cover?
A computer-based system and method(s) are described which detects and identifies implanted medical devices (“IMDs”) and/or retained surgical foreign objects (“RSFOs”) from diagnostic medical images. In some embodiments, the system provides further identification—information on the particular IMD and/or RSFO that has been recognized. For example, the system could be configured to provide informa…
Who is the assignee on this patent?
Univ Rush Medical Center
What technology area does this patent fall under?
Primary CPC classification G06T7/0014. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Apr 19 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).