公开(公告)号：US20220230319A1

公开(公告)日：2022-07-21

申请号：US17596287

申请日：2020-06-01

Applicant: RaySearch Laboratories AB

Inventor： Sebastian Andersson ,  Kjell Eriksson ,  Stina Svensson ,  Dla Weistrand

IPC: G06T7/00 ,  G16H30/40

Abstract: A deep learning model may be trained to provide an estimated image of the interior of a patient, based on a number of image sets, each image set comprising an interior image of the interior of a person and a contour image of the person's outer contour at a specific point in time. The model is trained to establish an optimized parametrized conversion function G specifying the correlation between the interior of the person and the persons outer contour based on the image sets. The conversion function G can then be used to provide estimated images of patient's interior based on their contours.

公开(公告)号：US20220230304A1

公开(公告)日：2022-07-21

申请号：US17596379

申请日：2020-06-01

Applicant: Raysearch Laboratories AB

Inventor： Kjell Eriksson ,  Ola Weistrand ,  Sebastian Andersson ,  Stina Svensson

IPC: G06T7/00 ,  G06T7/70 ,  G06T15/00 ,  A61N5/10 ,  A61B34/10

Abstract: An approximate image of a patient can be provided by the following method: Obtaining a model of the contour of a patient's body or a part of the patient's body, based on a surface scan of the patient Setting at least one interior density or image intensity value for at least a part of the interior of the contour to provide an approximation of the density of the patient's interior Setting an exterior density or image intensity value for the region outside of the contour, Creating an approximate image based on the model of the contour, and the density or image intensity values. The interior density or intensity may be set to a uniform image intensity value for the whole image or one or more regions, such as organs or bone, may be distinguished by different density of image intensity values.

公开(公告)号：US12118727B2

公开(公告)日：2024-10-15

申请号：US17596287

申请日：2020-06-01

Applicant: RaySearch Laboratories AB

Inventor： Sebastian Andersson ,  Kjell Eriksson ,  Stina Svensson ,  Ola Weistrand

IPC: G06T7/00 ,  G16H30/40

CPC classification number: G06T7/0016 ,  G16H30/40 ,  G06T2207/10076 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30004

Abstract: A deep learning model may be trained to provide an estimated image of the interior of a patient, based on a number of image sets, each image set comprising an interior image of the interior of a person and a contour image of the person's outer contour at a specific point in time. The model is trained to establish an optimized parametrized conversion function G specifying the correlation between the interior of the person and the persons outer contour based on the image sets. The conversion function G can then be used to provide estimated images of patient's interior based on their contours.

公开(公告)号：US09786093B2

公开(公告)日：2017-10-10

申请号：US15381382

申请日：2016-12-16

Applicant: RaySearch Laboratories AB

Inventor： Stina Svensson

IPC: G06F17/50 ,  G06T15/00 ,  G06T15/20 ,  A61N5/10 ,  G06F19/00 ,  G06T11/00 ,  G06T19/20 ,  G06T3/00 ,  G06T7/33

CPC classification number: G06T15/20 ,  A61B6/032 ,  A61B6/4085 ,  A61N5/103 ,  A61N5/1039 ,  G06F19/00 ,  G06T3/0068 ,  G06T7/00 ,  G06T7/30 ,  G06T7/344 ,  G06T11/003 ,  G06T19/00 ,  G06T19/20 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/30196 ,  G06T2210/41 ,  G16H50/50

Abstract: A method of obtaining a 3D image of a part of a patient's body is disclosed, based on a fraction image having a limited field-of-view and complementing this with information from a planning image having a greater field-of-view. In the area outside of the fraction image field-of-view, contour and anatomical data from the planning image are used to complement the fraction image, by means of a contour-guided deformable registration between the planning image and the fraction image.

公开(公告)号：US11636594B2

公开(公告)日：2023-04-25

申请号：US17596270

申请日：2020-06-01

Applicant: RaySearch Laboratories AB

Inventor： Stina Svensson ,  Sebastian Andersson ,  Kjell Eriksson ,  Ola Weistrand

IPC: G06T7/00 ,  G06T7/70 ,  G06V10/44 ,  G06V10/75 ,  A61N5/10

Abstract: A computer based method of obtaining a 3D image of a part of a patient's body is disclosed, based on a fraction image having a limited field-of-view and extending the field of view with information from an image of the patient's outline, obtained from a surface scan of the patient. Anatomical data from the planning image are preferably used to fill in the outline image, by means of a contour-guided deformable registration between the planning image and contour.

公开(公告)号：US20220207727A1

公开(公告)日：2022-06-30

申请号：US17596270

申请日：2020-06-01

Applicant: RaySearch Laboratories AB

Inventor： Stina Svensson ,  Sebastian Andersson ,  Kjell Eriksson ,  Ola Weistrand

IPC: G06T7/00 ,  G06T7/70 ,  G06V10/75 ,  G06V10/44 ,  A61N5/10

Abstract: A computer based method of obtaining a 3D image of a part of a patient's body is disclosed, based on a fraction image having a limited field-of-view and extending the field of view with information from an image of the patient's outline, obtained from a surface scan of the patient. Anatomical data from the planning image are preferably used to fill in the outline image, by means of a contour-guided deformable registration between the planning image and contour.