公开(公告)号：US20210118554A1

公开(公告)日：2021-04-22

申请号：US17254321

申请日：2019-06-19

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： THOMAS ERIK AMTHOR ,  LIQIN WANG ,  CHENGUANG ZHAO ,  JOACHIM DIETER SCHMIDT ,  JORN BORGERT ,  YAJING ZHANG ,  INGMAR GRAESSLIN ,  TANJA NORDHOFF

IPC: G16H30/40 ,  G01R33/54 ,  G16H50/20 ,  G06F16/23

Abstract: The present disclosure relates to a medical imaging method for enabling magnetic resonance imaging of a subject (318) using a set of imaging parameters of imaging protocols, the method comprising: receiving information related to the subject; using a predefined machine learning model for suggesting at least one imaging protocol for the received information, wherein the imaging protocol comprises at least part of the set of imaging parameters and associated values; providing the imaging protocol.

公开(公告)号：US20200250829A1

公开(公告)日：2020-08-06

申请号：US16649237

申请日：2018-08-30

Applicant: KONINKLIJKE PHILIPS N.V.

Inventor： BERNHARD GLEICH ,  JORN BORGERT ,  JOCHEN KEUPP

IPC: G06T7/11 ,  G06T7/00

Abstract: The invention provides for a medical instrument (100, 300, 400) comprising: a memory (110) for storing machine executable instructions (112) and a processor (106) for controlling the medical instrument. Execution of the machine executable instructions cause the processor to: receive (200) three dimensional medical image data (114) descriptive of a subject (318), wherein the three dimensional medical image data comprises voxels; receive (202) a segmentation of the three dimensional medical image data, wherein the segmentation divides the three dimensional image data into non-tumor voxels (700) and tumor voxels (500); choose (204) a center point (118) of the tumor voxels; divide (206) the tumor voxels into multiple groups (120) using a set of orthogonal planes (502, 504, 600), wherein the center point is within each of the orthogonal planes; calculate (208) at least one group radiomic feature (122) selected from a set of radiomic features for each of the multiple voxel groups; compute (210) a statistical measure (124) for each of the at least one group radiomic feature; calculate (212) a scalar value (128) by calculating the sum of each statistical measure multiplied by a predetermined group weighting value (126), wherein the predetermined group weighting value is unique for each statistical measure; and provide (214) a signal using a signaling interface device (108, 402) if the scalar value is above a predetermined threshold (130).