Invention Grant
- Patent Title: Automated tumor partitioning
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Application No.: US16649237Application Date: 2018-08-30
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Publication No.: US10997726B2Publication Date: 2021-05-04
- Inventor: Bernhard Gleich , Jorn Borgert , Jochen Keupp
- Applicant: KONINKLIJKE PHILIPS N.V.
- Applicant Address: NL Eindhoven
- Assignee: KONINKLIJKE PHILIPS N.V.
- Current Assignee: KONINKLIJKE PHILIPS N.V.
- Current Assignee Address: NL Eindhoven
- Priority: EP17192531 20170922
- International Application: PCT/EP2018/073296 WO 20180830
- International Announcement: WO2019/057459 WO 20190328
- Main IPC: G06T7/11
- IPC: G06T7/11 ; G06T7/00 ; G06T7/40

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).
Public/Granted literature
- US20200250829A1 AUTOMATED TUMOR PARTITIONING Public/Granted day:2020-08-06
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