公开(公告)号：US20220028133A1

公开(公告)日：2022-01-27

申请号：US17299804

申请日：2019-11-26

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Arne EWALD ,  Nick FLAESCHNER ,  Bernhard GLEICH ,  Ingmar GRAESSLIN ,  Peter BOERNERT ,  Ingo SCHMALE ,  Johannes Adrianus OVERWEG

IPC: G06T11/00 ,  G01R33/56 ,  G06N3/04 ,  G01R33/48 ,  G01R33/565

Abstract: The invention provides for a medical imaging system (100, 400) comprising a memory (110) storing machine executable instructions (120) and a configured artificial neural network (122). The medical imaging system further comprises a processor (104) configured for controlling the medical imaging system. Execution of the machine executable instructions causes the processor to receive (200) magnetic resonance imaging data (124), wherein the magnetic resonance imaging data is BOLD functional magnetic resonance imaging data descriptive of a time dependent BOLD signal (1100) for each of a set of voxels. Execution of the machine executable instructions further causes the processor to construct (202) a set of initial signals (126) by reconstructing the time dependent BOLD signal for each of the set of voxels using the magnetic resonance imaging data. Execution of the machine executable instructions further causes the processor to receive (204) a set of modified signals (128) in response to inputting the set of initial signals into the configured artificial neural network. The configured artificial neural network is configured for removing physiological artifacts from the set of initial signals.

公开(公告)号：US20220193448A1

公开(公告)日：2022-06-23

申请号：US17551642

申请日：2021-12-15

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Rolf Juergen WEESE ,  Alfonso Agatino ISOLA ,  Maria Luiza BONDAR ,  Torbjoern VIK ,  Nick FLAESCHNER ,  Jens WIEGERT ,  Harald Sepp HEESE

IPC: A61N5/10

Abstract: The invention relates a system for assisting in planning a radiation therapy treatment provided using a treatment plan comprising irradiation parameters for controlling a delivery of radiation. The system is configured to (i) receive a first dose distribution, (ii) obtain a first objective function, which depends upon at least one parameter and a dose distribution, (iii) determine a first value of the parameter such that the first objective function fulfills a predefined criterion when being evaluated for the first value of the parameter and for a second dose distribution derived from the first dose distribution, (iii) provide the first objective function in connection with the first value of the at least one parameter to a user for modifying the first objective function to generate a second objective function, and (v) determine the treatment plan using the second objective function. Further, the invention relates to a corresponding method and computer program.

公开(公告)号：US20220203124A1

公开(公告)日：2022-06-30

申请号：US17558637

申请日：2021-12-22

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： Nick FLAESCHNER ,  Harald Sepp HEESE ,  Maria Luiza BONDAR ,  Kay SUN ,  Jens WIEGERT ,  Rolf Juergen WEESE

IPC: A61N5/10

Abstract: The invention relates to a planning apparatus for planning a radiation therapy. A medical image, in which a target to be irradiated is indicated, is reformatted based on ray geometries to be used during the radiation therapy to be planned, resulting in several reformatted medical images. Radiation therapy parameters being indicative of intensities of rays 5 to be used for irradiating a target 4 are determined based on the reformatted medical images by using a neural network unit. This allows to determine high quality radiation therapy parameters and hence allows for an improved planning of a radiation therapy. In particular, radiation and absorptions physics can be captured better, which can lead to the improved quality.