公开(公告)号：US11624795B2

公开(公告)日：2023-04-11

申请号：US17702468

申请日：2022-03-23

Applicant: Subtle Medical, Inc.

Inventor： Jonathan Tamir ,  Srivathsa Pasumarthi Venkata ,  Tao Zhang ,  Enhao Gong

IPC: G06T3/00 ,  G01R33/56 ,  G06T3/60 ,  G06T5/50

Abstract: Methods and systems are provided for improving model robustness and generalizability. The method may comprise: acquiring, using a medical imaging apparatus, a medical image of a subject; reformatting the medical image of the subject in multiple scanning orientations; applying a deep network model to the medical image to improve the quality of the medical image; and outputting an improved quality image of the subject for analysis by a physician.

公开(公告)号：US11182878B2

公开(公告)日：2021-11-23

申请号：US17069036

申请日：2020-10-13

Applicant: Subtle Medical, Inc.

Inventor： Tao Zhang ,  Enhao Gong

IPC: G06K9/00 ,  G01V3/00 ,  G06T5/00 ,  G01R33/56 ,  G01R33/561 ,  G01R33/565 ,  A61B5/055 ,  A61B5/00

Abstract: A computer-implemented method is provided for improving image quality with shortened acquisition time. The method comprises: determining an accelerated image acquisition scheme for imaging a subject using a medical imaging apparatus; acquiring a medical image of the subject according to the accelerated image acquisition scheme using the medical imaging apparatus; applying a deep network model to the medical image to improve the quality of the medical image; and outputting an improved quality image of the subject, for analysis by a physician.

公开(公告)号：US20240307018A1

公开(公告)日：2024-09-19

申请号：US18512709

申请日：2023-11-17

Applicant: Subtle Medical, Inc.

Inventor： Lei XIANG ,  Enhao GONG

IPC: A61B6/00 ,  A61B6/03 ,  A61B6/50 ,  G06T5/50 ,  G06T5/60

CPC classification number: A61B6/5235 ,  A61B6/032 ,  A61B6/037 ,  A61B6/5217 ,  A61B6/5258 ,  G06T5/50 ,  G06T5/60 ,  A61B6/505 ,  G06T2207/10081 ,  G06T2207/10108 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: A computer-implemented method is provided for improving image quality. The method comprises: acquiring, using single-photon emission computed tomography (SPECT), a medical image of a subject, wherein the medical image is acquired with shortened acquisition time; and applying a deep learning network model to the medical image to generate an enhanced medical image.

公开(公告)号：US20240212852A1

公开(公告)日：2024-06-27

申请号：US18602373

申请日：2024-03-12

Applicant: Subtle Medical, Inc.

Inventor： Lei XIANG ,  Kai WANG ,  Enhao GONG

IPC: G16H50/20 ,  G06T7/00 ,  G06T7/11 ,  G06T7/70

CPC classification number: G16H50/20 ,  G06T7/0012 ,  G06T7/11 ,  G06T7/70 ,  G06T2207/10088 ,  G06T2207/20084 ,  G06T2207/30012

Abstract: A deep learning-based system is provided for spine segmentation and classification. The method comprises: (a) receiving a medical image of a subject, where the medical image captures one or more structures of the subject; (b) applying a first deep network to the medical image and outputting a detection result, where the detection result comprises at least a segmentation map of the one or more structures and a location predicted for the one or more structures; (c) generating an input to a second deep network based at least in part on the location predicted in (b); and (d) predicting a degenerative condition for the one or more structures by processing the input using the second deep network.

公开(公告)号：US20240161256A1

公开(公告)日：2024-05-16

申请号：US18508403

申请日：2023-11-14

Applicant: Subtle Medical, Inc.

Inventor： Dayang WANG ,  Srivathsa Pasumarthi VENKATA

IPC: G06T5/00 ,  G01R33/56 ,  G06N3/08 ,  G06T5/50

CPC classification number: G06T5/009 ,  G01R33/5601 ,  G01R33/5608 ,  G06N3/08 ,  G06T5/50 ,  G06T2207/10088 ,  G06T2207/20081 ,  G06T2207/30016 ,  G06T2207/30096

Abstract: Methods and systems are provided for simulating images with different dosages. The method comprises: learning a mapping relationship from a post-contrast image to a low-dose image using an iterative method, where learning the mapping comprises generating a plurality of images with intermediate dosages; and applying the mapping relationship to an input images with a higher dose level and a lower dose level to generate one or more simulated images with intermediate dose levels between the higher dose level and the lower dose level.

公开(公告)号：US20230033442A1

公开(公告)日：2023-02-02

申请号：US17706163

申请日：2022-03-28

Applicant: Subtle Medical, Inc.

Inventor： Lei XIANG ,  Enhao GONG ,  Tao ZHANG ,  Long WANG

IPC: G06T7/00 ,  G06T3/40 ,  G06V10/771 ,  G06V10/82

Abstract: A computer-implemented method is provided for improving image quality. The method comprises: acquiring, using a medical imaging apparatus, a medical image of a subject, wherein the medical image is acquired with shortened scanning time or reduced amount of tracer dose; applying a deep learning network model to the medical image to generate one or more feature attention maps a medical image of the subject with improved image quality for analysis by a physician.

公开(公告)号：US20240249395A1

公开(公告)日：2024-07-25

申请号：US18607814

申请日：2024-03-18

Applicant: Subtle Medical, Inc.

Inventor： Gajanana Keshava DATTA ,  Srivathsa PASUMARTHI VENKATA ,  Enhao GONG

IPC: G06T5/60 ,  G01R33/50 ,  G01R33/56 ,  G06T7/00

CPC classification number: G06T5/60 ,  G01R33/50 ,  G01R33/5608 ,  G06T7/0002 ,  G06T2207/10088 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30016 ,  G06T2207/30096

Abstract: A deep learning-based algorithm has been proposed for contrast dose reduction in MRI, using multi-contrast images and an anomaly-aware attention mechanism. The method comprises: obtaining a multi-contrast image of a subject, where the multi-contrast image comprises an image of a first contrast acquired with a reduced dose of contrast agent; generating an anomaly mask using a first deep learning network; and taking the multi-contrast image and the anomaly mask as input to a second deep network model to generate a predicted image with improved quality.

公开(公告)号：US11769229B2

公开(公告)日：2023-09-26

申请号：US18052411

申请日：2022-11-03

Applicant: Subtle Medical, Inc.

Inventor： Enhao Gong ,  Ben Andrew Duffy ,  Gajanana Keshava Datta ,  David Van Veen

IPC: G06T5/00 ,  G06T5/50 ,  G06T7/20

CPC classification number: G06T5/002 ,  G06T5/50 ,  G06T7/20 ,  G06T2207/10121 ,  G06T2207/20182 ,  G06T2207/20221

Abstract: A computer-implemented method is provided for improving live video quality. The method comprises: (a) acquiring, using a medical imaging apparatus, a stream of consecutive image frames of a subject; (b) feeding the stream of consecutive image frames to a first set of denoising components, wherein each of the first set of denoising components is configured to denoise an image frame from the stream of consecutive image frames in a spatial domain to output an intermediate image frame; (c) feeding a plurality of the intermediate image frames to a second denoising component, wherein the second denoising component is configured to (i) denoise the plurality of the intermediate image frames in a temporal domain and (ii) generate a weight map; and outputting a final image frame with improved quality in both temporal domain and spatial domain based at least in part on the weight map.

公开(公告)号：US20230162043A1

公开(公告)日：2023-05-25

申请号：US18058658

申请日：2022-11-23

Applicant: Subtle Medical, Inc.

Inventor： Tao Zhang ,  Enhao Gong ,  Gregory Zaharchuk

IPC: G06N3/088 ,  G01R33/54 ,  G06N3/04 ,  G06T7/00 ,  G06V10/764 ,  G06V10/82

CPC classification number: G06N3/088 ,  G01R33/54 ,  G06N3/04 ,  G06T7/0012 ,  G06V10/82 ,  G06V10/764 ,  G06T2207/10088 ,  G06T2207/20081

Abstract: A computer-implemented method for transforming magnetic resonance (MR) imaging across multiple vendors is provided. The method comprises: obtaining a training dataset, wherein the training dataset comprises a paired dataset and an un-paired dataset, and wherein the training dataset comprises image data acquired using two or more MR imaging devices; training a deep network model using the training dataset; obtaining an input MR image; and transforming the input MR image to a target image style using the deep network model.

公开(公告)号：US20220343496A1

公开(公告)日：2022-10-27

申请号：US17675814

申请日：2022-02-18

Applicant: Subtle Medical, Inc.

Inventor： Tao ZHANG ,  Enhao GONG

IPC: G06T7/00 ,  G06T7/70

Abstract: A computer-implemented method is provided for improving image quality with shortened acquisition time. The method comprises: determining an accelerated image acquisition parameter for imaging a subject using a medical imaging apparatus; acquiring, using the medical imaging apparatus, a medical image of the subject according to the accelerated image acquisition parameter; applying a deep network model to the medical image to generate a corresponding transformed medical image with improved quality; and combining the medical image and the corresponding transformed medial image using an adaptive mixing algorithm to generate output image.