Automated tumor partitioning

Abstract

The invention provides for a medical instrument () comprising: a memory () for storing machine executable instructions () and a processor () for controlling the medical instrument. Execution of the machine executable instructions cause the processor to: receive () three dimensional medical image data () descriptive of a subject (), wherein the three dimensional medical image data comprises voxels; receive () a segmentation of the three dimensional medical image data, wherein the segmentation divides the three dimensional image data into non-tumor voxels () and tumor voxels (); choose () a center point () of the tumor voxels; divide () the tumor voxels into multiple groups () using a set of orthogonal planes (), wherein the center point is within each of the orthogonal planes; calculate () at least one group radiomic feature () selected from a set of radiomic features for each of the multiple voxel groups; compute () a statistical measure () for each of the at least one group radiomic feature; calculate () a scalar value () by calculating the sum of each statistical measure multiplied by a predetermined group weighting value (), wherein the predetermined group weighting value is unique for each statistical measure; and provide () a signal using a signaling interface device () if the scalar value is above a predetermined threshold ().