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    AUTONOMOUS LEVEL IDENTIFICATION OF ANATOMICAL BONY STRUCTURES ON 3D MEDICAL IMAGERY
    1.
    发明公开
    AUTONOMOUS LEVEL IDENTIFICATION OF ANATOMICAL BONY STRUCTURES ON 3D MEDICAL IMAGERY 审中-公开

    公开(公告)号：US20230360313A1

    公开(公告)日：2023-11-09

    申请号：US18062306

    申请日：2022-12-06

    申请人： Holo Surgical Inc.

    发明人： Krzysztof B. SIEMIONOW ,  Cristian J. LUCIANO ,  Michal TRZMIEL ,  Edwing Isaac MEJÍA OROZCO ,  Paul LEWICKI

    IPC分类号： G06T15/08 ,  G06T7/00

    CPC分类号： G06T15/08 ,  G06T7/0012 ,  G06T2207/30012

    摘要： A computer-implemented method for fully-autonomous level identification of anatomical structures within a three-dimensional medical imagery, includes: receiving a set of medical scan images of the anatomical structures; processing the set to perform an autonomous semantic segmentation of anatomical components and to store segmentation results; processing segmentation results by removing the false positives, and smoothing 3D surfaces of the generated anatomical components; determining morphological and spatial relationships of the anatomical components; grouping the anatomical components to form separate levels based on the morphological and spatial relationships of the anatomical components; processing the set using a convolutional neural network to autonomously assign an initial level type; assigning the determined level type to each group of anatomical components by combining the determined morphological and spatial relationships with the determined initial level type; assigning an ordinal identifier to each group of anatomical components; and storing information about the assigned levels with their ordinal identifier.

    GRAPHICAL USER INTERFACE FOR A SURGICAL NAVIGATION SYSTEM AND METHOD FOR PROVIDING AN AUGMENTED REALITY IMAGE DURING OPERATION
    2.
    发明申请
    GRAPHICAL USER INTERFACE FOR A SURGICAL NAVIGATION SYSTEM AND METHOD FOR PROVIDING AN AUGMENTED REALITY IMAGE DURING OPERATION 有权

    公开(公告)号：US20210267698A1

    公开(公告)日：2021-09-02

    申请号：US17145178

    申请日：2021-01-08

    申请人： HOLO SURGICAL INC.

    发明人： Kris B. SIEMIONOW ,  Cristian J. LUCIANO

    IPC分类号： A61B34/00 ,  G02B27/01 ,  G06T19/00 ,  G06F3/01 ,  A61B34/10 ,  A61B90/00 ,  G06T7/11 ,  A61B5/00 ,  G06T5/00 ,  A61B34/30

    摘要： A surgical navigation system includes: a 3D display system with a see-through visor; a tracking system comprising means for real-time tracking of: a surgeon's head, the see-through visor, a patient anatomy and a surgical instrument to provide current position and orientation data; a source of an operative plan, a patient anatomy data and a virtual surgical instrument model; a surgical navigation image generator configured to generate a surgical navigation image with a three-dimensional image representing simultaneously a virtual image of the surgical instrument corresponding to the current position and orientation of the surgical instrument and a virtual image of the surgical instrument indicating the suggested positions and orientation of the surgical instrument according to the operative plan data based on the current relative position and orientation of the surgeon's head, the see-through visor, the patient anatomy and the surgical instrument; wherein the 3D display system is configured to show the surgical navigation image at the see-through visor, such that an augmented reality image collocated with the patient anatomy in the surgical field underneath the see-through visor is visible to a viewer looking from above the see-through visor towards the surgical field.

    AUTOMATED SEGMENTATION OF THREE DIMENSIONAL BONY STRUCTURE IMAGES
    4.
    发明申请
    AUTOMATED SEGMENTATION OF THREE DIMENSIONAL BONY STRUCTURE IMAGES 有权

    公开(公告)号：US20210369226A1

    公开(公告)日：2021-12-02

    申请号：US17403010

    申请日：2021-08-16

    申请人： HOLO SURGICAL INC.

    发明人： Krzysztof B. SIEMIONOW ,  Cristian J. LUCIANO ,  Marek KRAFT

    IPC分类号： A61B6/00 ,  G06T3/40 ,  A61B6/03 ,  G06T7/11

    摘要： 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.

    AUTOMATED SEGMENTATION OF THREE DIMENSIONAL BONY STRUCTURE IMAGES
    7.
    发明申请
    AUTOMATED SEGMENTATION OF THREE DIMENSIONAL BONY STRUCTURE IMAGES 审中-公开

    公开(公告)号：US20190105009A1

    公开(公告)日：2019-04-11

    申请号：US16154747

    申请日：2018-10-09

    申请人： HOLO SURGICAL INC.

    发明人： Kris B. SIEMIONOW ,  Cristian J. LUCIANO ,  Marek KRAFT

    IPC分类号： A61B6/00 ,  G06T3/40 ,  A61B6/03

    摘要： 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.

    GRAPHICAL USER INTERFACE FOR A SURGICAL NAVIGATION SYSTEM AND METHOD FOR PROVIDING AN AUGMENTED REALITY IMAGE DURING OPERATION
    8.
    发明申请
    GRAPHICAL USER INTERFACE FOR A SURGICAL NAVIGATION SYSTEM AND METHOD FOR PROVIDING AN AUGMENTED REALITY IMAGE DURING OPERATION 审中-公开

    公开(公告)号：US20200229877A1

    公开(公告)日：2020-07-23

    申请号：US16842793

    申请日：2020-04-08

    申请人： HOLO SURGICAL INC.

    发明人： Kris B. SIEMIONOW ,  Cristian J. LUCIANO

    IPC分类号： A61B34/00 ,  G02B27/01 ,  G06T19/00 ,  G06F3/01 ,  A61B34/10 ,  A61B90/00 ,  G06T7/11 ,  A61B5/00 ,  G06T5/00 ,  A61B34/30

    摘要： Surgical navigation system: 3D display system with see-through visor; a tracking system for real-time tracking of: surgeon's head, see-through visor, patient anatomy and surgical instrument to provide current position and orientation data; a source of an operative plan, a patient anatomy data and a virtual surgical instrument model; a surgical navigation image generator to generate a surgical navigation image with a three-dimensional image representing simultaneously a virtual image of the surgical instrument corresponding to the current position and orientation of the surgical instrument and a virtual image of the surgical instrument, the see-through visor, the patient anatomy and the surgical instrument; the 3D display system configured to show the surgical navigation image at the see-through visor, such that an augmented reality image collocated with the patient anatomy in the surgical field underneath the see-through visor is visible to a viewer looking from above the see-through visor towards the surgical field.