公开(公告)号：US11727574B2

公开(公告)日：2023-08-15

申请号：US17403687

申请日：2021-08-16

Applicant: THE BOARD OF REGENTS OF THE UNIVERSITY OF TEXAS SYSTEM

Inventor： Darin T Okuda ,  Braeden D Newton

IPC: G06T7/11 ,  G06T15/08 ,  G06T17/00 ,  G06V10/26 ,  G06F18/22 ,  G06V10/75 ,  G16H30/40 ,  A61B5/055

CPC classification number: G06T7/11 ,  G06F18/22 ,  G06T15/08 ,  G06T17/00 ,  G06V10/26 ,  G06V10/75 ,  A61B5/055 ,  G06T2207/10088 ,  G06T2207/30016 ,  G06T2207/30096 ,  G06T2210/41 ,  G06V2201/031 ,  G16H30/40

Abstract: Methods, apparatuses, systems, and implementations for creating 3-dimensional (3D) representations exhibiting geometric and surface characteristics of brain lesions are disclosed. 2D and/or 3D MM images of the brain may be acquired. Brain lesions and other abnormalities may be identified and isolated with each lesion serving as a region of interest (ROI). Saved ROI may be converted into stereolithography format, maximum intensity projection (MIP) images, and/or orthographic projection images. Data corresponding to these resulting 3D brain lesion images may be used to create 3D printed models of the isolated brain lesions using 3D printing technology. Analysis of the 3D brain lesion images and the 3D printed brain lesion models may enable a more efficient and accurate way of determining brain lesion etiologies.

公开(公告)号：US11704801B2

公开(公告)日：2023-07-18

申请号：US17031010

申请日：2020-09-24

Applicant: The Board of Regents of the University of Texas System

Inventor： Darin T Okuda

IPC: G06K9/00 ,  G06T7/00 ,  A61B5/00 ,  A61B5/055

CPC classification number: G06T7/0016 ,  A61B5/0042 ,  A61B5/055 ,  A61B5/7267 ,  A61B2576/026 ,  G06T2207/10088 ,  G06T2207/30016 ,  G06T2207/30096

Abstract: Some methods of analyzing one or more brain lesions of a patient comprise, for each of the lesion(s), calculating one or more lesion characteristics from a first 3-dimensional (3D) representation of the lesion obtained from data taken at a first time and a second 3D representation of the lesion obtained from data taken at a second time that is after the first time. The characteristic(s) can include a change, form the first time to the second time, in the lesion's volume and/or surface area, the lesion's displacement from the first time to the second time, and/or the lesion's theoretical radius ratio at each of the first and second times. Some methods comprise characterizing whether the patient has multiple sclerosis and/or the progression of multiple sclerosis in the patient based at least in part on the calculation of the lesion characteristic(s) of each of the lesion(s).

公开(公告)号：US12198352B2

公开(公告)日：2025-01-14

申请号：US18449417

申请日：2023-08-14

Applicant: THE BOARD OF REGENTS OF THE UNIVERSITY OF TEXAS SYSTEM

Inventor： Darin T Okuda ,  Braeden D Newton

IPC: G06T7/11 ,  G06F18/22 ,  G06T15/08 ,  G06T17/00 ,  G06V10/26 ,  G06V10/75 ,  A61B5/055 ,  G16H30/40

Abstract: Methods, apparatuses, systems, and implementations for creating 3-dimensional (3D) representations exhibiting geometric and surface characteristics of brain lesions are disclosed. 2D and/or 3D MRI images of the brain may be acquired. Brain lesions and other abnormalities may be identified and isolated with each lesion serving as a region of interest (ROI). Saved ROI may be converted into stereolithography format, maximum intensity projection (MIP) images, and/or orthographic projection images. Data corresponding to these resulting 3D brain lesion images may be used to create 3D printed models of the isolated brain lesions using 3D printing technology. Analysis of the 3D brain lesion images and the 3D printed brain lesion models may enable a more efficient and accurate way of determining brain lesion etiologies.

公开(公告)号：US11093787B2

公开(公告)日：2021-08-17

申请号：US16312983

申请日：2017-06-30

Applicant: THE BOARD OF REGENTS OF THE UNIVERSITY OF TEXAS SYSTEM

Inventor： Darin T Okuda ,  Braeden D Newton

IPC: G06K9/62 ,  G06K9/34 ,  G06T7/11 ,  G06T15/08 ,  G06T17/00 ,  G16H30/40 ,  A61B5/055

Abstract: Methods, apparatuses, systems, and implementations for creating 3-dimensional (3D) representations exhibiting geometric and surface characteristics of brain lesions are disclosed. 2D and/or 3D MRI images of the brain may be acquired. Brain lesions and other abnormalities may be identified and isolated with each lesion serving as a region of interest (ROI). Saved ROI may be converted into stereolithography format, maximum intensity projection (MIP) images, and/or orthographic projection images. Data corresponding to these resulting 3D brain lesion images may be used to create 3D printed models of the isolated brain lesions using 3D printing technology. Analysis of the 3D brain lesion images and the 3D printed brain lesion models may enable a more efficient and accurate way of determining brain lesion etiologies.

公开(公告)号：US20210090259A1

公开(公告)日：2021-03-25

申请号：US17031010

申请日：2020-09-24

Applicant: The Board of Regents of the University of Texas System

Inventor： Darin T Okuda

IPC: G06T7/00 ,  A61B5/00 ,  A61B5/055

Abstract: Some methods of analyzing one or more brain lesions of a patient comprise, for each of the lesion(s), calculating one or more lesion characteristics from a first 3-dimensional (3D) representation of the lesion obtained from data taken at a first time and a second 3D representation of the lesion obtained from data taken at a second time that is after the first time. The characteristic(s) can include a change, form the first time to the second time, in the lesion's volume and/or surface area, the lesion's displacement from the first time to the second time, and/or the lesion's theoretical radius ratio at each of the first and second times. Some methods comprise characterizing whether the patient has multiple sclerosis and/or the progression of multiple sclerosis in the patient based at least in part on the calculation of the lesion characteristic(s) of each of the lesion(s).