公开(公告)号：US11195277B2

公开(公告)日：2021-12-07

申请号：US16457710

申请日：2019-06-28

Applicant: GE Precision Healthcare LLC

Inventor： Dattesh Dayanand Shanbhag ,  Arathi Sreekumari ,  Sandeep Kaushik

IPC: G06T7/00 ,  G06T11/00

Abstract: Methods and systems are provided for generating a normative medical image from an anomalous medical image. In an example, the method includes receiving an anomalous medical image, wherein the anomalous medical image includes anomalous data, mapping the anomalous medical image to a normative medical image using a trained generative network of a generative adversarial network (GAN), wherein the anomalous data of the anomalous medical image is mapped to normative data in the normative medical image. In some examples, the method may further include displaying the normative medical image via a display device, and/or utilizing the normative medical image for further image analysis tasks to generate robust outcomes from the anomalous medical image.

公开(公告)号：US12008695B2

公开(公告)日：2024-06-11

申请号：US17033183

申请日：2020-09-25

Applicant: GE Precision Healthcare LLC

Inventor： Sandeep Kaushik ,  Dattesh Shanbhag ,  Cristina Cozzini ,  Florian Wiesinger

IPC: G06T11/60 ,  A61B5/00 ,  A61B5/055 ,  G01R33/56 ,  G06F18/214

CPC classification number: G06T11/60 ,  A61B5/0033 ,  A61B5/055 ,  A61B5/7267 ,  G01R33/5608 ,  G06F18/214 ,  G06T2210/41 ,  G06V2201/033

Abstract: Various methods and systems are provided for translating magnetic resonance (MR) images to pseudo computed tomography (CT) images. In one embodiment, a method comprises acquiring an MR image, generating, with a multi-task neural network, a pseudo CT image corresponding to the MR image, and outputting the MR image and the pseudo CT image. In this way, the benefits of CT imaging with respect to accurate density information, especially in sparse regions of bone which exhibit with high dynamic range, may be obtained in an MR-only workflow, thereby achieving the benefits of enhanced soft-tissue contrast in MR images while eliminating CT dose exposure for a patient.

公开(公告)号：US11610313B2

公开(公告)日：2023-03-21

申请号：US17512469

申请日：2021-10-27

Applicant: GE Precision Healthcare LLC

Inventor： Dattesh Dayanand Shanbhag ,  Arathi Sreekumari ,  Sandeep Kaushik

IPC: G06T7/00 ,  G06T11/00

Abstract: Methods and systems are provided for generating a normative medical image from an anomalous medical image. In an example, the method includes receiving an anomalous medical image, wherein the anomalous medical image includes anomalous data, mapping the anomalous medical image to a normative medical image using a trained generative network of a generative adversarial network (GAN), wherein the anomalous data of the anomalous medical image is mapped to normative data in the normative medical image. In some examples, the method may further include displaying the normative medical image via a display device, and/or utilizing the normative medical image for further image analysis tasks to generate robust outcomes from the anomalous medical image.

公开(公告)号：US20220101576A1

公开(公告)日：2022-03-31

申请号：US17033183

申请日：2020-09-25

Applicant: GE Precision Healthcare LLC

Inventor： Sandeep Kaushik ,  Dattesh Shanbhag ,  Cristina Cozzini ,  Florian Wiesinger

IPC: G06T11/60 ,  G01R33/56 ,  G06K9/62 ,  A61B5/055 ,  A61B5/00

Abstract: Various methods and systems are provided for translating magnetic resonance (MR) images to pseudo computed tomography (CT) images. In one embodiment, a method comprises acquiring an MR image, generating, with a multi-task neural network, a pseudo CT image corresponding to the MR image, and outputting the MR image and the pseudo CT image. In this way, the benefits of CT imaging with respect to accurate density information, especially in sparse regions of bone which exhibit with high dynamic range, may be obtained in an MR-only workflow, thereby achieving the benefits of enhanced soft-tissue contrast in MR images while eliminating CT dose exposure for a patient.