Automated segmentation of three dimensional bony structure images

a three-dimensional image and automatic segmentation technology, applied in the field of automatic segmentation of three-dimensional images of a bony structure, can solve the problems of reducing the accuracy and efficacy of navigated tools and implants, difficulty in adequately addressing, and difficulty in using low-quality image datasets in machine learning applications
US20210369226A1Pending Publication Date: 2021-12-02AUGMEDICS INC
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Patent Information

Authority / Receiving Office
US · United States
Patent Type
Applications(United States)
Current Assignee / Owner
AUGMEDICS INC
Publication Date
2021-12-02

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Abstract

A computer-implemented system: at least one processor communicably coupled to at least one nontransitory processor-readable storage medium storing processor-executable instructions or data receives segmentation learning data comprising a plurality of batches of labeled anatomical image sets, each image set comprising image data representative of a series of slices of a three-dimensional bony structure, and each image set including at least one label which identifies the region of a particular part of the bony structure depicted in each image of the image set, wherein the label indicates one of a plurality of classes indicating parts of the bone anatomy; trains a segmentation CNN, that is a fully convolutional neural network model with layer skip connections, to segment semantically at least one part of the bony structure utilizing the received segmentation learning data; and stores the trained segmentation CNN in at least one nontransitory processor-readable storage medium of the machine learning system.
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Description

CROSS-REFERENCE TO RELATED APPLICATIONS

[0001] This application is a continuation of U.S. patent application Ser. No. 16 / 154,747, filed Oct. 9, 2018, entitled “Automated Segmentation of Three Dimensional Bony Structure Images,” which claims priority under 35 U.S.C. § 119 to European Patent Application No. 17195826.7, filed Oct. 10, 2017, entitled “Automated Segmentation of Three Dimensional Bony Structure images,” the disclosures of each of which are hereby incorporated herein by reference in their entirety.TECHNICAL FIELD

[0002] The present disclosure generally relates to automated segmentation of three dimensional images of a bony structure, useful in particular for the field of computer assisted surgery, diagnostics, and surgical planning.BACKGROUND

[0003] Image guided or computer assisted surgery is a surgical procedure where the surgeon uses tracked surgical instruments in conjunction with preoperative or intraoperative images in order to indirectly guide the procedure. Image guided ...

Claims

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